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   <news:title>ファイアボールの発生と消滅におけるヒステリシスのメカニズム（On the hysteresis in fireball formation and extinction）</news:title>
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   <news:title>災害時のボランティア調整を自律化する手法（Coordinating Disaster Emergency Response with Heuristic Reinforcement Learning）</news:title>
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   <news:title>乗算を不要にする一般化三値接続（Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks）</news:title>
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   <news:title>未知語の分散表現の誘導（Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces）</news:title>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>視覚を遮ったベースラインが示したもの — Blindfold Baselines for Embodied QA (Blindfold Baselines for Embodied QA)</news:title>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>潜在的差別（ラテント差別）を取り除く実務的な手法（Eliminating Latent Discrimination: Train Then Mask）</news:title>
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   <news:title>最適ドーピング近傍のクーパー酸化物に対するSU(2)ゲージ理論の提案（Gauge theory for the cuprates near optimal doping）</news:title>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>PennyLaneによる量子-古典ハイブリッド自動微分（PennyLane: Automatic differentiation of hybrid quantum-classical computations）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>過学習しない過剰パラメータ化ニューラルネットワークの学習と一般化（Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers）</news:title>
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    <news:language>ja</news:language>
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   <news:title>HTRUサーベイにおけるGPU加速再処理による23個のパルサー発見（The High Time Resolution Universe survey XIV: Discovery of 23 pulsars through GPU-accelerated reprocessing）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>脳腫瘍患者の生存予測における深層学習と古典的回帰の比較（Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>差分プライバシーを用いたモデル集約で性能を高める（Boosting Model Performance through Differentially Private Model Aggregation）</news:title>
   <news:publication_date>2026-07-04T20:39:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>衛星画像のためのディープラーニングに対するシステム的アプローチの全体像（Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>言葉の選び方はいつ影響するか（When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>非侵襲的な皮膚特徴に基づく室内熱的快適性の可視化と推定（Non-invasive thermal comfort perception based on subtleness magnification and deep learning for energy efficiency）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>散乱光による星の偏光とデブリ円盤の比較（Polarization of stars with debris disks: comparing observations with models）</news:title>
   <news:publication_date>2026-07-04T19:46:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>Generative Dual Adversarial Networkによる一般化ゼロショット学習の統合的枠組み（Generative Dual Adversarial Network for Generalized Zero-shot Learning）</news:title>
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   <news:genres>Blog</news:genres>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>組み込みシステム向け物体検出における転移学習の枠組み（A Framework of Transfer Learning in Object Detection for Embedded Systems）</news:title>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>知覚予測に基づく自己教師ありイベント分節化の枠組み（A Perceptual Prediction Framework for Self Supervised Event Segmentation）</news:title>
   <news:publication_date>2026-07-04T19:45:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>潜在ゲームに基づく非短視的センサネットワーク計画（Potential Game-Based Non-Myopic Sensor Network Planning for Multi-Target Tracking）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>臨床診断と治療助言における分類学習の実務（On the practice of classification learning for clinical diagnosis and therapy advice in oncology）</news:title>
   <news:publication_date>2026-07-04T18:54:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-04T18:54:02Z</lastmod>
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    <news:language>ja</news:language>
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   <news:title>量子着想に基づく低ランク線形方程式の亜線形古典アルゴリズム（Quantum-inspired sublinear classical algorithms for solving low-rank linear systems）</news:title>
   <news:publication_date>2026-07-04T18:54:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-04T18:53:05Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>PositiveとUnlabeledデータから学ぶ方法（Learning From Positive and Unlabeled Data: A Survey）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-04T18:52:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>気候データに対する畳み込みニューラルネットワークの適用例：クラスター化された気象パターンの再識別（A test case for application of convolutional neural networks to spatio-temporal climate data: Re-identifying clustered weather patterns）</news:title>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>大規模光学ニューラルネットワークと光電乗算（Large-Scale Optical Neural Networks based on Photoelectric Multiplication）</news:title>
   <news:publication_date>2026-07-04T18:52:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/708101</loc>
  <lastmod>2026-07-04T18:52:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意（Attention）機構の入門概観（An Introductory Survey on Attention Mechanisms in NLP Problems）</news:title>
   <news:publication_date>2026-07-04T18:52:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/708099</loc>
  <lastmod>2026-07-04T18:01:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超音波画像における腎臓自動セグメンテーションの新展開（Fully Automatic Kidney Segmentation in Ultrasound Images via Boundary Distance Regression and Pixelwise Classification）</news:title>
   <news:publication_date>2026-07-04T18:01:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/708097</loc>
  <lastmod>2026-07-04T18:00:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分離表現を用いた抽象推論課題の一般化改善（Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations）</news:title>
   <news:publication_date>2026-07-04T18:00:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/708095</loc>
  <lastmod>2026-07-04T18:00:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>UMBCにおけるSFSサマーリサーチ ― 実務型学習がサイバーセキュリティ教育を変えた（The SFS Summer Research Study at UMBC: Project-Based Learning Inspires Cybersecurity Students）</news:title>
   <news:publication_date>2026-07-04T18:00:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>構文はELMoでの意味理解を助けるか（Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?）</news:title>
   <news:publication_date>2026-07-04T18:00:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ拡張ポリシーの探索を連続化して性能を高める方法（LEARNING DATA AUGMENTATION POLICIES USING AUGMENTED RANDOM SEARCH）</news:title>
   <news:publication_date>2026-07-04T18:00:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>生成モデル分類器におけるマルコフ性の役割（Markov Property in Generative Classifiers）</news:title>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>光輸送の潜在空間を深層学習する（Deep-learning the Latent Space of Light Transport）</news:title>
   <news:publication_date>2026-07-04T17:59:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/708085</loc>
  <lastmod>2026-07-04T17:08:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>欠損データの表現学習による患者アウトカム予測の革新（Learning Representations of Missing Data for Predicting Patient Outcomes）</news:title>
   <news:publication_date>2026-07-04T17:08:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708083</loc>
  <lastmod>2026-07-04T17:07:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ガウシアン・オートエンコーダの分布整合手法（Gaussian AutoEncoder）</news:title>
   <news:publication_date>2026-07-04T17:07:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708081</loc>
  <lastmod>2026-07-04T17:07:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>汎用マージナライザによる償却化推論と生成モデルの埋め込み（Universal Marginalizer for Amortised Inference and Embedding of Generative Models）</news:title>
   <news:publication_date>2026-07-04T17:07:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708079</loc>
  <lastmod>2026-07-04T17:06:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層CNNに基づく発話埋め込みの音響モデル適応への解析（ANALYZING DEEP CNN-BASED UTTERANCE EMBEDDINGS FOR ACOUSTIC MODEL ADAPTATION）</news:title>
   <news:publication_date>2026-07-04T17:06:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708077</loc>
  <lastmod>2026-07-04T17:06:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MarkovとHuffmanによる自動ステガノグラフィテキスト生成（Automatically Generate Steganographic Text Based on Markov Model and Huffman Coding）</news:title>
   <news:publication_date>2026-07-04T17:06:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708075</loc>
  <lastmod>2026-07-04T17:06:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラベル依存性を敵対的に学習する新枠組み（ADVERSARIAL LEARNING OF LABEL DEPENDENCY: A NOVEL FRAMEWORK FOR MULTI-CLASS CLASSIFICATION）</news:title>
   <news:publication_date>2026-07-04T17:06:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708073</loc>
  <lastmod>2026-07-04T17:05:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフィカルモデルの分配関数を解く新手法—Gaugeと多項式の接続（Gauges, Loops, and Polynomials for Partition Functions of Graphical Models）</news:title>
   <news:publication_date>2026-07-04T17:05:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708071</loc>
  <lastmod>2026-07-04T16:14:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分布頑健な半教師あり学習と人中心センシング（Distributionally Robust Semi-Supervised Learning for People-Centric Sensing）</news:title>
   <news:publication_date>2026-07-04T16:14:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708069</loc>
  <lastmod>2026-07-04T16:07:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>レーダーのマイクロドップラー信号に対する敵対的デノイズ法（Towards Adversarial Denoising of Radar Micro-Doppler Signatures）</news:title>
   <news:publication_date>2026-07-04T16:07:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708067</loc>
  <lastmod>2026-07-04T16:07:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ディープアンサンブルによるフェイクニュース検出と分類（A Deep Ensemble Framework for Fake News Detection and Classification）</news:title>
   <news:publication_date>2026-07-04T16:07:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708065</loc>
  <lastmod>2026-07-04T16:06:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>独立事前分布によるセグメンテーションマスク学習（Learning Segmentation Masks with the Independence Prior）</news:title>
   <news:publication_date>2026-07-04T16:06:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708063</loc>
  <lastmod>2026-07-04T16:05:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>歌詞生成における構造と語彙の統合（Combining Learned Lyrical Structures and Vocabulary for Improved Lyric Generation）</news:title>
   <news:publication_date>2026-07-04T16:05:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708061</loc>
  <lastmod>2026-07-04T16:05:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RelDenCluによる非線形特徴関係の発見（RelDenClu: A Relative Density based Biclustering Method for identifying non-linear feature relations）</news:title>
   <news:publication_date>2026-07-04T16:05:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708059</loc>
  <lastmod>2026-07-04T16:05:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動ポリソムノグラフィ解析によるREM睡眠行動障害の検出（Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis）</news:title>
   <news:publication_date>2026-07-04T16:05:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708057</loc>
  <lastmod>2026-07-04T15:13:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>変数選択を伴う最適化のためのグローバル感度解析（Global sensitivity analysis for optimization with variable selection）</news:title>
   <news:publication_date>2026-07-04T15:13:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708055</loc>
  <lastmod>2026-07-04T15:13:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>太陽の中間周期性に関する研究（On Midrange Periodicities in Solar Radio Flux and Sunspot Areas）</news:title>
   <news:publication_date>2026-07-04T15:13:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708053</loc>
  <lastmod>2026-07-04T15:12:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>チャネル情報不要でIoTの集約を速める方法（Blind Over-the-Air Computation and Data Fusion via Provable Wirtinger Flow）</news:title>
   <news:publication_date>2026-07-04T15:12:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708051</loc>
  <lastmod>2026-07-04T15:12:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重み付きMinHashアルゴリズムの総覧（A Review for Weighted MinHash Algorithms）</news:title>
   <news:publication_date>2026-07-04T15:12:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708049</loc>
  <lastmod>2026-07-04T15:12:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重力波の伝播速度は重力の定数で決まる（Gravitational waves at their own gravitational speed）</news:title>
   <news:publication_date>2026-07-04T15:12:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708047</loc>
  <lastmod>2026-07-04T15:12:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>事前学習セグメンテーション網の追加構造対応（Extending Pretrained Segmentation Networks with Additional Anatomical Structures）</news:title>
   <news:publication_date>2026-07-04T15:12:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708045</loc>
  <lastmod>2026-07-04T15:11:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生理信号からの感情認識を日常環境で実現する道（Angry or Climbing Stairs? Towards Physiological Emotion Recognition in the Wild）</news:title>
   <news:publication_date>2026-07-04T15:11:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708043</loc>
  <lastmod>2026-07-04T14:21:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>魚眼レンズ向けパラメータ化合成画像データセット（Parameterized Synthetic Image Data Set for Fisheye Lens）</news:title>
   <news:publication_date>2026-07-04T14:21:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708041</loc>
  <lastmod>2026-07-04T14:20:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>識別器を用いた言語モデルのファインチューニング（Fine-tuning of Language Models with Discriminator）</news:title>
   <news:publication_date>2026-07-04T14:20:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708039</loc>
  <lastmod>2026-07-04T14:20:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重要度重み付き進化戦略（Importance Weighted Evolution Strategies）</news:title>
   <news:publication_date>2026-07-04T14:20:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708037</loc>
  <lastmod>2026-07-04T14:19:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個人化されたエンドツーエンドのゴール指向対話（Learning Personalized End-to-End Goal-Oriented Dialog）</news:title>
   <news:publication_date>2026-07-04T14:19:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708035</loc>
  <lastmod>2026-07-04T14:19:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>行列積演算子によるRestricted Boltzmann Machinesの拡張（Matrix Product Operator Restricted Boltzmann Machines）</news:title>
   <news:publication_date>2026-07-04T14:19:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708033</loc>
  <lastmod>2026-07-04T14:19:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ホリスティックなマルチモーダル記憶ネットワーク（Holistic Multi-modal Memory Network for Movie Question Answering）</news:title>
   <news:publication_date>2026-07-04T14:19:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708031</loc>
  <lastmod>2026-07-04T14:19:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>見えないものを学ぶ：限定角度CTのためのディープラーニング–シアレッ トハイブリッドフレームワーク (LEARNING THE INVISIBLE: A HYBRID DEEP LEARNING-SHEARLET FRAMEWORK FOR LIMITED ANGLE COMPUTED TOMOGRAPHY)</news:title>
   <news:publication_date>2026-07-04T14:19:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708029</loc>
  <lastmod>2026-07-04T13:28:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>腕時計型PPGを用いた外来心房細動モニタリング（Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning）</news:title>
   <news:publication_date>2026-07-04T13:28:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708027</loc>
  <lastmod>2026-07-04T13:27:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>検出された異常に寄与する次元の推定（Estimation of Dimensions Contributing to Detected Anomalies with Variational Autoencoders）</news:title>
   <news:publication_date>2026-07-04T13:27:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708025</loc>
  <lastmod>2026-07-04T13:27:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クアッドコプターの経路支援における深層強化学習（Navigating Assistance System for Quadcopter with Deep Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-04T13:27:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708023</loc>
  <lastmod>2026-07-04T13:26:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>近似的フォールトトレランスによる分散ストリーム処理の性能と収束性（On the Performance and Convergence of Distributed Stream Processing via Approximate Fault Tolerance）</news:title>
   <news:publication_date>2026-07-04T13:26:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708021</loc>
  <lastmod>2026-07-04T13:26:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CV-TMLEの簡易実装がもたらす実務的意義（An Easy Implementation of CV-TMLE）</news:title>
   <news:publication_date>2026-07-04T13:26:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708019</loc>
  <lastmod>2026-07-04T13:26:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>レビューと画像を活用した説明可能な推薦（MMALFM: Explainable Recommendation by Leveraging Reviews and Images）</news:title>
   <news:publication_date>2026-07-04T13:26:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708017</loc>
  <lastmod>2026-07-04T13:26:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>仮説と音声のベクトル化でビーム探索を高速化する手法（VECTORIZATION OF HYPOTHESES AND SPEECH FOR FASTER BEAM SEARCH IN ENCODER DECODER-BASED SPEECH RECOGNITION）</news:title>
   <news:publication_date>2026-07-04T13:26:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708015</loc>
  <lastmod>2026-07-04T12:34:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>因子分析における推定量の漸近共分散の明示的公式（On Asymptotic Covariances of A Few Unrotated Factor Solutions）</news:title>
   <news:publication_date>2026-07-04T12:34:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708013</loc>
  <lastmod>2026-07-04T12:34:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対話的機械学習の最近の研究動向（Recent Research Advances on Interactive Machine Learning）</news:title>
   <news:publication_date>2026-07-04T12:34:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708011</loc>
  <lastmod>2026-07-04T12:34:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ピクセルから計画するための潜在ダイナミクス学習（Learning Latent Dynamics for Planning from Pixels）</news:title>
   <news:publication_date>2026-07-04T12:34:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708009</loc>
  <lastmod>2026-07-04T12:33:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時間的グラフ畳み込みネットワークによる交通予測（Temporal Graph Convolutional Network for Traffic Prediction）</news:title>
   <news:publication_date>2026-07-04T12:33:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708007</loc>
  <lastmod>2026-07-04T12:32:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習ベース自律システムのオンライン異常検知フレームワーク（Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy）</news:title>
   <news:publication_date>2026-07-04T12:32:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708005</loc>
  <lastmod>2026-07-04T12:32:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワーク構造中心性に基づく変分コミュニティ分割（Variational Community Partition with Novel Network Structure Centrality Prior）</news:title>
   <news:publication_date>2026-07-04T12:32:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708003</loc>
  <lastmod>2026-07-04T12:32:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高次元精度行列推定のための効率的なADMMアルゴリズム（An efficient ADMM algorithm for high dimensional precision matrix estimation via penalized quadratic loss）</news:title>
   <news:publication_date>2026-07-04T12:32:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708001</loc>
  <lastmod>2026-07-04T11:40:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>間接対称位相シフト変圧器の内部故障検出におけるアンサンブル学習の適用（Identification of Internal Faults in Indirect Symmetrical Phase Shift Transformers Using Ensemble Learning）</news:title>
   <news:publication_date>2026-07-04T11:40:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707999</loc>
  <lastmod>2026-07-04T11:40:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Eコマースにおける最適商品画像選定システム（A Smart System for Selection of Optimal Product Images in E-Commerce）</news:title>
   <news:publication_date>2026-07-04T11:40:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707997</loc>
  <lastmod>2026-07-04T11:40:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ダイアトミック様電気格子における暗と明の離散ソリトンの実験的・数値的観測（Experimental and numerical observation of dark and bright discrete solitons in the band-gap of a diatomic–like electrical lattice）</news:title>
   <news:publication_date>2026-07-04T11:40:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707995</loc>
  <lastmod>2026-07-04T11:39:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SLANG による高速な構造共分散近似とベイズ深層学習（SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient）</news:title>
   <news:publication_date>2026-07-04T11:39:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707993</loc>
  <lastmod>2026-07-04T11:39:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エージェント埋め込みによる倒立振子ネットワークの潜在表現（Agent Embeddings: A Latent Representation for Pole-Balancing Networks）</news:title>
   <news:publication_date>2026-07-04T11:39:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707991</loc>
  <lastmod>2026-07-04T11:39:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>外部に置かれた制御の可能性を拓く非局所PDEの最適制御（External Optimal Control of Nonlocal PDEs）</news:title>
   <news:publication_date>2026-07-04T11:39:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707989</loc>
  <lastmod>2026-07-04T11:39:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電力増幅器の非線形性を用いた送信機識別の深層学習（Deep Learning Based Transmitter Identification using Power Amplifier Nonlinearity）</news:title>
   <news:publication_date>2026-07-04T11:39:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707987</loc>
  <lastmod>2026-07-04T10:47:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチモーダル生成対戦学習による商品タイトル短縮の革新（Product Title Refinement via Multi-Modal Generative Adversarial Learning）</news:title>
   <news:publication_date>2026-07-04T10:47:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707985</loc>
  <lastmod>2026-07-04T10:47:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラベル付き二部グラフにおける異常検知と修正（Anomaly Detection and Correction in Large Labeled Bipartite Graphs）</news:title>
   <news:publication_date>2026-07-04T10:47:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707983</loc>
  <lastmod>2026-07-04T10:47:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HEP向けMachine Learning as a Service（Machine Learning as a Service for HEP）</news:title>
   <news:publication_date>2026-07-04T10:47:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707981</loc>
  <lastmod>2026-07-04T10:46:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ガウス分布におけるLWFとAMP連鎖グラフの統合による干渉のモデル化（UNIFYING GAUSSIAN LWF AND AMP CHAIN GRAPHS TO MODEL INTERFERENCE）</news:title>
   <news:publication_date>2026-07-04T10:46:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707979</loc>
  <lastmod>2026-07-04T10:45:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アプリ獲得広告のRTB運用をQ学習で最適化する（Managing App Install Ad Campaigns in RTB: A Q-Learning Approach）</news:title>
   <news:publication_date>2026-07-04T10:45:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707977</loc>
  <lastmod>2026-07-04T10:45:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SwingからJavaFXへの移行で得られた教訓（Lessons Learned in Migrating from Swing to JavaFX）</news:title>
   <news:publication_date>2026-07-04T10:45:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707975</loc>
  <lastmod>2026-07-04T10:45:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチビューにおける半教師付き深層表現学習（Semi-supervised Deep Representation Learning for Multi-View Problems）</news:title>
   <news:publication_date>2026-07-04T10:45:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707973</loc>
  <lastmod>2026-07-04T09:54:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>4次元多様体と量子重力の接点（Hyperbolic groups, 4-manifolds and Quantum Gravity）</news:title>
   <news:publication_date>2026-07-04T09:54:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707971</loc>
  <lastmod>2026-07-04T09:54:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>追跡・逃避問題に対するトンプソン・サンプリングの応用（Thompson Sampling for Pursuit-Evasion Problems）</news:title>
   <news:publication_date>2026-07-04T09:54:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707969</loc>
  <lastmod>2026-07-04T09:54:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>肝疾患診断における「棄権（Abstention）」を持つ機械学習の実用化（Machine Learning with Abstention for Automated Liver Disease Diagnosis）</news:title>
   <news:publication_date>2026-07-04T09:54:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707967</loc>
  <lastmod>2026-07-04T09:53:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Latent Network Summarizationを読み解く：グラフ表現のサイズ独立化とオンザフライ生成の可能性（Latent Network Summarization: Bridging Network Embedding and Summarization）</news:title>
   <news:publication_date>2026-07-04T09:53:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707965</loc>
  <lastmod>2026-07-04T09:53:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復改良によるパラフレーズ生成の再設計（ReDecode Framework for Iterative Improvement in Paraphrase Generation）</news:title>
   <news:publication_date>2026-07-04T09:53:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707963</loc>
  <lastmod>2026-07-04T09:53:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>木構造テンソル形式による学習手法の実務的意義（Learning with tree-based tensor formats）</news:title>
   <news:publication_date>2026-07-04T09:53:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707961</loc>
  <lastmod>2026-07-04T09:53:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>歩行者衝突回避システム（Pedestrian Collision Avoidance System (PeCAS): a Deep Learning Approach）</news:title>
   <news:publication_date>2026-07-04T09:53:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707959</loc>
  <lastmod>2026-07-04T09:02:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>鳥の鳴き声識別のマルチモーダルDNNアプローチ（A Multi-modal Deep Neural Network approach to Bird-song identification）</news:title>
   <news:publication_date>2026-07-04T09:02:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707957</loc>
  <lastmod>2026-07-04T09:01:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチソースニューラル変分推論（Multi-Source Neural Variational Inference）</news:title>
   <news:publication_date>2026-07-04T09:01:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707955</loc>
  <lastmod>2026-07-04T09:01:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エンドツーエンド構造認識畳み込みネットワークによるナレッジベース補完（End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion）</news:title>
   <news:publication_date>2026-07-04T09:01:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707953</loc>
  <lastmod>2026-07-04T09:01:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>境界にぶつかった局所線形埋め込み（When Locally Linear Embedding Hits Boundary）</news:title>
   <news:publication_date>2026-07-04T09:01:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707951</loc>
  <lastmod>2026-07-04T09:00:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多目的学習と生成による感情解析フレームワーク（A Multi-Task Learning &amp;amp; Generation Framework: Valence-Arousal, Action Units &amp;amp; Primary Expressions）</news:title>
   <news:publication_date>2026-07-04T09:00:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707949</loc>
  <lastmod>2026-07-04T09:00:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>進行的に学習するスケール不変かつ境界意識型深層ネットワークによる肺病変の自動3Dセグメンテーション（A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions）</news:title>
   <news:publication_date>2026-07-04T09:00:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707947</loc>
  <lastmod>2026-07-04T09:00:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>金ナノクラスターの有限温度でのコア–シェル挙動と安定性（(Meta-)stability and Core-Shell Dynamics of Gold Nanoclusters at Finite Temperature）</news:title>
   <news:publication_date>2026-07-04T09:00:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707945</loc>
  <lastmod>2026-07-04T08:08:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最適制御の視点で読み解く敵対的機械学習（An Optimal Control View of Adversarial Machine Learning）</news:title>
   <news:publication_date>2026-07-04T08:08:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707943</loc>
  <lastmod>2026-07-04T08:08:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モチーフに基づく注意を用いたグラフ畳み込みニューラルネットワーク（Graph Convolutional Neural Networks via Motif-based Attention）</news:title>
   <news:publication_date>2026-07-04T08:08:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707941</loc>
  <lastmod>2026-07-04T08:07:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチ時間分解能畳み込みニューラルネットワークによる音響シーン分類（Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification）</news:title>
   <news:publication_date>2026-07-04T08:07:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707939</loc>
  <lastmod>2026-07-04T08:07:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ディープストロング結合領域における切り替え可能な動力学（Switchable dynamics in the deep-strong-coupling regime）</news:title>
   <news:publication_date>2026-07-04T08:07:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707937</loc>
  <lastmod>2026-07-04T08:07:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己学習型情報拡散モデルが示すネットワークの“賢さ”の進化（A Self-Learning Information Diffusion Model for Smart Social Networks）</news:title>
   <news:publication_date>2026-07-04T08:07:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707935</loc>
  <lastmod>2026-07-04T08:07:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚的選択注意と深層強化学習の初期的統合（An Initial Attempt of Combining Visual Selective Attention with Deep Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-04T08:07:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707933</loc>
  <lastmod>2026-07-04T08:06:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>欠損データに非一様な重みを付ける高速行列分解（Fast Matrix Factorization with Non-Uniform Weights on Missing Data）</news:title>
   <news:publication_date>2026-07-04T08:06:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707931</loc>
  <lastmod>2026-07-04T07:15:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>強化学習と時空間マイニングによるタクシー相乗りポリシーの最適化 (Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining)</news:title>
   <news:publication_date>2026-07-04T07:15:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707929</loc>
  <lastmod>2026-07-04T07:15:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビシナルリスク最小化の一般化境界（Generalization Bounds for Vicinal Risk Minimization Principle）</news:title>
   <news:publication_date>2026-07-04T07:15:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707927</loc>
  <lastmod>2026-07-04T07:08:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テクスチャなし3D顔認識のためのニューラル生成モデル（Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition）</news:title>
   <news:publication_date>2026-07-04T07:08:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707925</loc>
  <lastmod>2026-07-04T07:06:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ベイズ畳み込みニューラルネットワークによる圧縮センシング復元（Bayesian Convolutional Neural Networks for Compressed Sensing Restoration）</news:title>
   <news:publication_date>2026-07-04T07:06:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707923</loc>
  <lastmod>2026-07-04T07:06:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ピンイン入力IMEの「開かれた語彙学習」が切り開く現場応用（Open Vocabulary Learning for Neural Chinese Pinyin IME）</news:title>
   <news:publication_date>2026-07-04T07:06:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707921</loc>
  <lastmod>2026-07-04T07:05:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顔画像の品質評価（Deep Face Quality Assessment）</news:title>
   <news:publication_date>2026-07-04T07:05:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707919</loc>
  <lastmod>2026-07-04T07:05:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>行動条件付きβ-VAEによる透明な強化学習の統治手法（Towards Governing Agent’s Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-04T07:05:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707917</loc>
  <lastmod>2026-07-04T06:13:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランジュバン勾配と並列テンパリングによるベイズニューラル学習の加速（Langevin-gradient parallel tempering for Bayesian neural learning）</news:title>
   <news:publication_date>2026-07-04T06:13:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707915</loc>
  <lastmod>2026-07-04T06:03:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>点群セグメンテーションを変えるVV-NET（VV-NET: Voxel VAE Net with Group Convolutions for Point Cloud Segmentation）</news:title>
   <news:publication_date>2026-07-04T06:03:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707913</loc>
  <lastmod>2026-07-04T06:03:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ゴイアス州における殺人率のクラスタ分析（Cluster analysis of homicide rates in the Brazilian state of Goiás from 2002 to 2014）</news:title>
   <news:publication_date>2026-07-04T06:03:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707911</loc>
  <lastmod>2026-07-04T06:03:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>次元的感情空間における写実的顔合成（Photorealistic Facial Synthesis in the Dimensional Affect Space）</news:title>
   <news:publication_date>2026-07-04T06:03:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707909</loc>
  <lastmod>2026-07-04T06:03:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Aff-Wild2による感情認識データ拡張の意義（Aff-Wild2: Extending the Aff-Wild Database for Affect Recognition）</news:title>
   <news:publication_date>2026-07-04T06:03:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707907</loc>
  <lastmod>2026-07-04T06:02:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多様性駆動型拡張可能階層強化学習（Diversity-Driven Extensible Hierarchical Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-04T06:02:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707905</loc>
  <lastmod>2026-07-04T06:02:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>手書き歴史文書の少数ラベルでの認識手法（Handwriting Recognition of Historical Documents with few labeled data）</news:title>
   <news:publication_date>2026-07-04T06:02:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707903</loc>
  <lastmod>2026-07-04T05:11:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>逆引きDNSを使ったIPジオロケーションの実務的示唆（IP Geolocation through Reverse DNS）</news:title>
   <news:publication_date>2026-07-04T05:11:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707901</loc>
  <lastmod>2026-07-04T05:02:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画素毎報酬で学ぶ画像処理の強化学習（Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing）</news:title>
   <news:publication_date>2026-07-04T05:02:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707899</loc>
  <lastmod>2026-07-04T05:02:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層残差拡張U-Netによる自動脳構造セグメンテーション (Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net)</news:title>
   <news:publication_date>2026-07-04T05:02:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707897</loc>
  <lastmod>2026-07-04T05:02:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>手順記述の行動グラフ抽出をゲームに置き換える手法（Playing by the Book: An Interactive Game Approach for Action Graph Extraction from Text）</news:title>
   <news:publication_date>2026-07-04T05:02:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707895</loc>
  <lastmod>2026-07-04T05:01:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>冠動脈石灰化検出のための3D注意同一二重ネットワーク（Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning）</news:title>
   <news:publication_date>2026-07-04T05:01:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707893</loc>
  <lastmod>2026-07-04T05:01:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多項式ハーモニックスプラインによる自動ニューロン発見（PolyNeuron: Automatic Neuron Discovery via Learned Polyharmonic Spline Activations）</news:title>
   <news:publication_date>2026-07-04T05:01:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707891</loc>
  <lastmod>2026-07-04T05:01:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物体属性のマルチラベル分類を可能にする畳み込みニューラルネットワーク（Multi-label Object Attribute Classification using a Convolutional Neural Network）</news:title>
   <news:publication_date>2026-07-04T05:01:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707889</loc>
  <lastmod>2026-07-04T04:09:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>微分幾何特徴に基づく多モーダルMRI脳画像セグメンテーションの手法 (The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features)</news:title>
   <news:publication_date>2026-07-04T04:09:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707887</loc>
  <lastmod>2026-07-04T04:09:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフィカル・ラッソによる異常検知 (Anomaly Detection via Graphical Lasso)</news:title>
   <news:publication_date>2026-07-04T04:09:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707885</loc>
  <lastmod>2026-07-04T04:08:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習の形作り戦略を人間との対話型強化学習で学ぶ（Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-04T04:08:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707883</loc>
  <lastmod>2026-07-04T04:08:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>相互情報量の計測に関する形式的制約（Formal Limitations on the Measurement of Mutual Information）</news:title>
   <news:publication_date>2026-07-04T04:08:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707881</loc>
  <lastmod>2026-07-04T04:08:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スピン動力学と二次ゼーマン効果の活用（Spin dynamics in lattices of spinor atoms with quadratic Zeeman effect）</news:title>
   <news:publication_date>2026-07-04T04:08:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707879</loc>
  <lastmod>2026-07-04T04:08:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>シーン文字検出と認識：深層学習時代の概観 (Scene Text Detection and Recognition: The Deep Learning Era)</news:title>
   <news:publication_date>2026-07-04T04:08:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707877</loc>
  <lastmod>2026-07-04T04:07:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>適応制御と学習のための入力摂動（Input Perturbations for Adaptive Control and Learning）</news:title>
   <news:publication_date>2026-07-04T04:07:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707875</loc>
  <lastmod>2026-07-04T03:16:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声認識に強い強化学習型音声強調（REINFORCEMENT LEARNING BASED SPEECH ENHANCEMENT FOR ROBUST SPEECH RECOGNITION）</news:title>
   <news:publication_date>2026-07-04T03:16:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707873</loc>
  <lastmod>2026-07-04T03:08:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SHRP2 NDS映像における作業区間検出（Detecting Work Zones in SHRP 2 NDS Videos Using Deep Learning Based Computer Vision）</news:title>
   <news:publication_date>2026-07-04T03:08:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707871</loc>
  <lastmod>2026-07-04T03:08:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>通信ネットワークにおけるベイズ的所得推定アプローチ（A Bayesian Approach to Income Inference in a Communication Network）</news:title>
   <news:publication_date>2026-07-04T03:08:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707869</loc>
  <lastmod>2026-07-04T03:07:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>衛星マルチスペクトル画像における建物検出の深層学習アプローチ（Deep Learning Approach for Building Detection in Satellite Multispectral Imagery）</news:title>
   <news:publication_date>2026-07-04T03:07:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707867</loc>
  <lastmod>2026-07-04T03:07:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>組織で使える乳がん組織画像分類の新標準：IRRCNNの実務的意義（Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network）</news:title>
   <news:publication_date>2026-07-04T03:07:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707865</loc>
  <lastmod>2026-07-04T03:07:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スケルトンベース行動認識における周波数注意と同期的局所・非局所学習（SKELETON-BASED ACTION RECOGNITION WITH SYNCHRONOUS LOCAL AND NON-LOCAL SPATIO-TEMPORAL LEARNING AND FREQUENCY ATTENTION）</news:title>
   <news:publication_date>2026-07-04T03:07:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707863</loc>
  <lastmod>2026-07-04T03:06:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>数式の自動翻訳に向けた再帰型ニューラルネットワークの試み（Towards Formula Translation using Recursive Neural Networks）</news:title>
   <news:publication_date>2026-07-04T03:06:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707861</loc>
  <lastmod>2026-07-04T02:15:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>密に接続された注意伝播による読解の革新（Densely Connected Attention Propagation for Reading Comprehension）</news:title>
   <news:publication_date>2026-07-04T02:15:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707859</loc>
  <lastmod>2026-07-04T02:15:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>見えない住所をつくる：途上国向け深層学習による住所生成 (Addressing the Invisible: Street Address Generation for Developing Countries with Deep Learning)</news:title>
   <news:publication_date>2026-07-04T02:15:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707857</loc>
  <lastmod>2026-07-04T02:14:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的に訓練された正規化ノイズ特徴オートエンコーダによるテキスト生成（Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation）</news:title>
   <news:publication_date>2026-07-04T02:14:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707855</loc>
  <lastmod>2026-07-04T02:14:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>統計的確率的プログラミングのためのドメイン理論（A Domain Theory for Statistical Probabilistic Programming）</news:title>
   <news:publication_date>2026-07-04T02:14:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707853</loc>
  <lastmod>2026-07-04T02:14:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>R-SPIDERが変えるリーマン最適化の効率化（R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate）</news:title>
   <news:publication_date>2026-07-04T02:14:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707851</loc>
  <lastmod>2026-07-04T02:13:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多凸交互最適化による高速な勾配フリーニューラルネットワーク訓練（Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization）</news:title>
   <news:publication_date>2026-07-04T02:13:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707849</loc>
  <lastmod>2026-07-04T02:13:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的勾配法の収束に関する新視点（New Convergence Aspects of Stochastic Gradient Algorithms）</news:title>
   <news:publication_date>2026-07-04T02:13:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707847</loc>
  <lastmod>2026-07-04T01:22:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>写真構図をAIで支援するCAPTAINの全貌（CAPTAIN: Comprehensive Composition Assistance for Photo Taking）</news:title>
   <news:publication_date>2026-07-04T01:22:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707845</loc>
  <lastmod>2026-07-04T01:21:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自然言語指示を連続制御へ結びつける位置訪問予測（Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction）</news:title>
   <news:publication_date>2026-07-04T01:21:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707843</loc>
  <lastmod>2026-07-04T01:20:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サブモジュラ関数最大化の効率的分枝限定法（An efficient branch-and-bound algorithm for submodular function maximization）</news:title>
   <news:publication_date>2026-07-04T01:20:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707841</loc>
  <lastmod>2026-07-04T01:20:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Movement and Transformation Principleに基づくファジー推論と応用（New Movement and Transformation Principle of Fuzzy Reasoning and Its Application to Fuzzy Neural Network）</news:title>
   <news:publication_date>2026-07-04T01:20:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707839</loc>
  <lastmod>2026-07-04T01:20:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少データ環境での対話用自然言語生成を改善する二重潜在変数モデル（Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems）</news:title>
   <news:publication_date>2026-07-04T01:20:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707837</loc>
  <lastmod>2026-07-04T01:20:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>噂の早期かつ確証的検出（CED: Credible Early Detection of Social Media Rumors）</news:title>
   <news:publication_date>2026-07-04T01:20:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707835</loc>
  <lastmod>2026-07-04T01:19:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少数ショット学習のためのパワー正規化二次類似性ネットワーク (Power Normalizing Second-order Similarity Network for Few-shot Learning)</news:title>
   <news:publication_date>2026-07-04T01:19:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707833</loc>
  <lastmod>2026-07-04T00:28:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的サンプリングと訓練による半教師あり情報検索の改善（Adversarial Sampling and Training for Semi-Supervised Information Retrieval）</news:title>
   <news:publication_date>2026-07-04T00:28:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707831</loc>
  <lastmod>2026-07-04T00:28:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>設計ルール違反（DRC）ホットスポット予測におけるNNアンサンブルの実践的意義（Design Rule Violation Hotspot Prediction Based on Neural Network Ensembles）</news:title>
   <news:publication_date>2026-07-04T00:28:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707829</loc>
  <lastmod>2026-07-04T00:27:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複素数版スケールド・ケーリー変換を用いたユニタリーRNNの提案（Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform）</news:title>
   <news:publication_date>2026-07-04T00:27:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707827</loc>
  <lastmod>2026-07-04T00:27:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RDF知識基盤上の推論を深層学習で行う方法（REASONING OVER RDF KNOWLEDGE BASES USING DEEP LEARNING）</news:title>
   <news:publication_date>2026-07-04T00:27:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707825</loc>
  <lastmod>2026-07-04T00:26:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復ゲームにおけるポリシー後悔の意味と経営への示唆（Policy Regret in Repeated Games）</news:title>
   <news:publication_date>2026-07-04T00:26:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707823</loc>
  <lastmod>2026-07-04T00:26:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>統計的再帰表現による音声感情認識の統合（Integrating Recurrence Dynamics for Speech Emotion Recognition）</news:title>
   <news:publication_date>2026-07-04T00:26:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707821</loc>
  <lastmod>2026-07-04T00:26:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ガウシャンスケッチによるカーネル距離のほぼ相対誤差近似（The GaussianSketch for Almost Relative Error Kernel Distance）</news:title>
   <news:publication_date>2026-07-04T00:26:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707819</loc>
  <lastmod>2026-07-03T23:35:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動画中の広告フレーム自動検出技術の実務的解析（ADNet: A Deep Network for Detecting Adverts）</news:title>
   <news:publication_date>2026-07-03T23:35:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707817</loc>
  <lastmod>2026-07-03T23:35:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>継続的インテグレーションにおけるテスト選択と優先順位付けの強化学習（Reinforcement Learning for Automatic Test Case Prioritization and Selection in Continuous Integration）</news:title>
   <news:publication_date>2026-07-03T23:35:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707815</loc>
  <lastmod>2026-07-03T23:34:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワークの「未知」拒否を改善する手法（Reducing Network Agnostophobia）</news:title>
   <news:publication_date>2026-07-03T23:34:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707813</loc>
  <lastmod>2026-07-03T23:34:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層的ディープ・トラクリート再識別による複数人物追跡（Multiple People Tracking Using Hierarchical Deep Tracklet Re-identiﬁcation）</news:title>
   <news:publication_date>2026-07-03T23:34:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707811</loc>
  <lastmod>2026-07-03T23:34:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>見えない巨人の発見――Gaia DR2が明かした巨大淡い衛星銀河の存在（The hidden giant: discovery of an enormous Galactic dwarf satellite in Gaia DR2）</news:title>
   <news:publication_date>2026-07-03T23:34:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707809</loc>
  <lastmod>2026-07-03T23:34:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多層ネットワークにおける深層学習で検出する超拡散現象（Deep Learning Super-Diffusion in Multiplex Networks）</news:title>
   <news:publication_date>2026-07-03T23:34:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707807</loc>
  <lastmod>2026-07-03T23:33:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二者分布検定の通信と安全性（Two Party Distribution Testing: Communication and Security）</news:title>
   <news:publication_date>2026-07-03T23:33:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707805</loc>
  <lastmod>2026-07-03T22:42:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ブロック信念伝播によるMRFのパラメータ学習（Block Belief Propagation for Parameter Learning in Markov Random Fields）</news:title>
   <news:publication_date>2026-07-03T22:42:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707803</loc>
  <lastmod>2026-07-03T22:42:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動化されたマルチラベル分類のためのML-Plan拡張（Automated Multi-Label Classification based on ML-Plan）</news:title>
   <news:publication_date>2026-07-03T22:42:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707801</loc>
  <lastmod>2026-07-03T22:41:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>弱ラベル音響イベント検出における下位・上位統合アプローチ（JOINT ACOUSTIC AND CLASS INFERENCE FOR WEAKLY SUPERVISED SOUND EVENT DETECTION）</news:title>
   <news:publication_date>2026-07-03T22:41:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707799</loc>
  <lastmod>2026-07-03T22:41:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>65nm CMOSで実装されたプログラム可能なインメモリ演算マイクロプロセッサ（A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing）</news:title>
   <news:publication_date>2026-07-03T22:41:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707797</loc>
  <lastmod>2026-07-03T22:40:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多モーダルMRIにおける脾腫（splenomegaly）セグメンテーションの深層学習的アプローチ（Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks）</news:title>
   <news:publication_date>2026-07-03T22:40:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707795</loc>
  <lastmod>2026-07-03T22:40:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>解釈分析の計算的アプローチ概観（An Overview of Computational Approaches for Interpretation Analysis）</news:title>
   <news:publication_date>2026-07-03T22:40:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707793</loc>
  <lastmod>2026-07-03T22:40:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自然冗長性を用いた表現非依存の誤り訂正（Representation-Oblivious Error Correction by Natural Redundancy）</news:title>
   <news:publication_date>2026-07-03T22:40:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707791</loc>
  <lastmod>2026-07-03T21:49:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>i-vectorによる母語識別の実用的アプローチ（Native Language Identification using i-vector）</news:title>
   <news:publication_date>2026-07-03T21:49:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707789</loc>
  <lastmod>2026-07-03T21:49:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>位相空間における畳み込みニューラルネットワークと逆問題の応用（CONVOLUTIONAL NEURAL NETWORKS IN PHASE SPACE AND INVERSE PROBLEMS）</news:title>
   <news:publication_date>2026-07-03T21:49:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707787</loc>
  <lastmod>2026-07-03T21:49:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物理情報ニューラルネットワークにおける敵対的不確かさ定量化（Adversarial Uncertainty Quantification in Physics-Informed Neural Networks）</news:title>
   <news:publication_date>2026-07-03T21:49:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707785</loc>
  <lastmod>2026-07-03T21:48:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>到達可能性に基づく安全学習による最適制御問題（Reachability-based safe learning for optimal control problem）</news:title>
   <news:publication_date>2026-07-03T21:48:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707783</loc>
  <lastmod>2026-07-03T21:48:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バーチャル学習環境における学生のオンライン行動のモデリング（Modelling student online behaviour in a virtual learning environment）</news:title>
   <news:publication_date>2026-07-03T21:48:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707781</loc>
  <lastmod>2026-07-03T21:48:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>プライバシー保護を組み込む深層学習の汎用フレームワーク（A generic framework for privacy preserving deep learning）</news:title>
   <news:publication_date>2026-07-03T21:48:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707779</loc>
  <lastmod>2026-07-03T21:48:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヘテロジニアス情報ネットワークによるESGコンプライアンス予測（Prediction of ESG Compliance using a Heterogeneous Information Network）</news:title>
   <news:publication_date>2026-07-03T21:48:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707777</loc>
  <lastmod>2026-07-03T20:56:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音と映像で対象を見つけて分離する技術（IDENTIFY, LOCATE AND SEPARATE: AUDIO-VISUAL OBJECT EXTRACTION IN LARGE VIDEO COLLECTIONS USING WEAK SUPERVISION）</news:title>
   <news:publication_date>2026-07-03T20:56:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707775</loc>
  <lastmod>2026-07-03T20:56:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LSTMの無効な再帰計算をスキップする学習（Learning to Skip Ineffectual Recurrent Computations in LSTMs）</news:title>
   <news:publication_date>2026-07-03T20:56:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707773</loc>
  <lastmod>2026-07-03T20:56:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Sum-Product Networkの深い圧縮（Deep Compression of Sum-Product Networks on Tensor Networks）</news:title>
   <news:publication_date>2026-07-03T20:56:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707771</loc>
  <lastmod>2026-07-03T20:55:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>過剰パラメータ化による深層学習の収束理論（A Convergence Theory for Deep Learning via Over-Parameterization）</news:title>
   <news:publication_date>2026-07-03T20:55:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707769</loc>
  <lastmod>2026-07-03T20:55:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラジオ通信によるIoT向け侵入検知（RadIoT: Radio Communications Intrusion Detection for IoT - A Protocol Independent Approach）</news:title>
   <news:publication_date>2026-07-03T20:55:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707767</loc>
  <lastmod>2026-07-03T20:55:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層強化学習に基づく関係抽出の新しい枠組み（A Hierarchical Framework for Relation Extraction with Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-03T20:55:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707765</loc>
  <lastmod>2026-07-03T20:54:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>彩色グラフの可観測性に関する性質（Observability Properties of Colored Graphs）</news:title>
   <news:publication_date>2026-07-03T20:54:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707763</loc>
  <lastmod>2026-07-03T20:03:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深部帯爆薬起爆が作る振り子波の伝播（Propagation of Pendulum Waves under Deep-Seated Cord Charge Blasting in Blocky Rock Mass）</news:title>
   <news:publication_date>2026-07-03T20:03:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707761</loc>
  <lastmod>2026-07-03T19:45:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>限定角度CT再構成のための教師なし学習可能なシノグラム補完ネットワーク (Unsupervised Learnable Sinogram Inpainting Network (SIN) for Limited Angle CT reconstruction)</news:title>
   <news:publication_date>2026-07-03T19:45:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707759</loc>
  <lastmod>2026-07-03T19:44:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビッグデータのための統計的機械学習のベイズ的視点（A Bayesian Perspective of Statistical Machine Learning for Big Data）</news:title>
   <news:publication_date>2026-07-03T19:44:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707757</loc>
  <lastmod>2026-07-03T19:44:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>外部カテゴリ証拠を用いたクラスタリング改善のためのエビデンストランスファー（Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence）</news:title>
   <news:publication_date>2026-07-03T19:44:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707755</loc>
  <lastmod>2026-07-03T19:43:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層アンサンブルによるベイズ能動学習（DEEP ENSEMBLE BAYESIAN ACTIVE LEARNING）</news:title>
   <news:publication_date>2026-07-03T19:43:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707753</loc>
  <lastmod>2026-07-03T19:42:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模データから見識を得る（Gaining insight from large data volumes with ease）</news:title>
   <news:publication_date>2026-07-03T19:42:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707751</loc>
  <lastmod>2026-07-03T19:42:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ホモモルフィズムに関する性能保証と非マルコフ同型の意義（Performance Guarantees for Homomorphisms Beyond Markov Decision Processes）</news:title>
   <news:publication_date>2026-07-03T19:42:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707749</loc>
  <lastmod>2026-07-03T18:51:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クロスと学ぶ：クロスモーダル自己教師あり学習（Cross and Learn: Cross-Modal Self-Supervision）</news:title>
   <news:publication_date>2026-07-03T18:51:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707747</loc>
  <lastmod>2026-07-03T18:41:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>下水道の容量活用に関する無監督学習と次元削減の応用（Exploiting Capacity of Sewer System Using Unsupervised Learning Algorithms Combined with Dimensionality Reduction）</news:title>
   <news:publication_date>2026-07-03T18:41:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707745</loc>
  <lastmod>2026-07-03T18:40:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>汚水ポンプ場の運用最適化と深層学習の組合せ（Enhancing Operation of a Sewage Pumping Station for Inter Catchment Wastewater Transfer by Using Deep Learning and Hydraulic Model）</news:title>
   <news:publication_date>2026-07-03T18:40:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707743</loc>
  <lastmod>2026-07-03T18:40:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的スキップ接続を備えた長短期記憶（Long Short-Term Memory with Dynamic Skip Connections）</news:title>
   <news:publication_date>2026-07-03T18:40:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707741</loc>
  <lastmod>2026-07-03T18:40:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>都市規模での合流式下水オーバーフロー予測（DeepCSO: Forecasting of Combined Sewer Overflow at a Citywide Level using Multi-task Deep Learning）</news:title>
   <news:publication_date>2026-07-03T18:40:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707739</loc>
  <lastmod>2026-07-03T18:39:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声と画像のマルチモーダルワンショット学習（Multimodal One-Shot Learning of Speech and Images）</news:title>
   <news:publication_date>2026-07-03T18:39:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707737</loc>
  <lastmod>2026-07-03T18:39:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>調理レシピ提案のためのシミュレーションとベイズ最適化（Suggesting Cooking Recipes Through Simulation and Bayesian Optimization）</news:title>
   <news:publication_date>2026-07-03T18:39:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707735</loc>
  <lastmod>2026-07-03T17:48:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多言語かつ教師なしのサブワード表現学習（Multilingual and Unsupervised Subword Modeling for Zero-Resource Languages）</news:title>
   <news:publication_date>2026-07-03T17:48:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707733</loc>
  <lastmod>2026-07-03T17:48:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知語の意味表現を同時に学ぶ仕組み（Learning Semantic Representations for Novel Words: Leveraging Both Form and Context）</news:title>
   <news:publication_date>2026-07-03T17:48:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707731</loc>
  <lastmod>2026-07-03T17:48:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重力波検出器のグリッチ分類における辞書学習の応用（Classification of gravitational-wave glitches via dictionary learning）</news:title>
   <news:publication_date>2026-07-03T17:48:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707729</loc>
  <lastmod>2026-07-03T17:47:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>目的志向のベイジアン多目的最適化（Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions）</news:title>
   <news:publication_date>2026-07-03T17:47:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707727</loc>
  <lastmod>2026-07-03T17:47:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散データ上でのGAN訓練を可能にしたMD-GAN（MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets）</news:title>
   <news:publication_date>2026-07-03T17:47:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707725</loc>
  <lastmod>2026-07-03T17:47:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アナログ実験から学べないこと（What we cannot learn from analogue experiments）</news:title>
   <news:publication_date>2026-07-03T17:47:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707723</loc>
  <lastmod>2026-07-03T17:47:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>完全な挙動模倣に基づくサンプル効率の良い方策学習（Sample-Efficient Policy Learning based on Completely Behavior Cloning）</news:title>
   <news:publication_date>2026-07-03T17:47:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707721</loc>
  <lastmod>2026-07-03T16:55:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像レベル注意コンテキストによるシーングラフ生成（Image-Level Attentional Context Modeling Using Nested-Graph Neural Networks）</news:title>
   <news:publication_date>2026-07-03T16:55:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707719</loc>
  <lastmod>2026-07-03T16:55:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不正確評価を許す適応正則化アルゴリズム（Adaptive Regularization Algorithms with Inexact Evaluations）</news:title>
   <news:publication_date>2026-07-03T16:55:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707717</loc>
  <lastmod>2026-07-03T16:55:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像の記憶性を変える：基本編集からGANまで（Changing the Image Memorability: From Basic Photo Editing to GANs）</news:title>
   <news:publication_date>2026-07-03T16:55:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707715</loc>
  <lastmod>2026-07-03T16:54:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラベルノイズに強い学習法の勧め（Skeptical Deep Learning with Distribution Correction）</news:title>
   <news:publication_date>2026-07-03T16:54:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707713</loc>
  <lastmod>2026-07-03T16:54:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ExcitNet Vocoderの解説（ExcitNet Vocoder: A Neural Excitation Model for Parametric Speech Synthesis Systems）</news:title>
   <news:publication_date>2026-07-03T16:54:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707711</loc>
  <lastmod>2026-07-03T16:54:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層ニューラルネットワークにおける勾配降下法の全局最適解発見（Gradient Descent Finds Global Minima of Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-03T16:54:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707709</loc>
  <lastmod>2026-07-03T16:54:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>病理組織像における核の染色正規化と教師なし分類（Neural Stain Normalization and Unsupervised Classification of Cell Nuclei in Histopathological Breast Cancer Images）</news:title>
   <news:publication_date>2026-07-03T16:54:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707707</loc>
  <lastmod>2026-07-03T16:02:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>理論的収束保証を備えた深層最適化フレームワークによる頑健な圧縮センシングMRI（A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI）</news:title>
   <news:publication_date>2026-07-03T16:02:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707705</loc>
  <lastmod>2026-07-03T16:02:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ASVを自ら攻撃に使えるか？自動ターゲット選択による模倣攻撃の強化（CAN WE USE SPEAKER RECOGNITION TECHNOLOGY TO ATTACK ITSELF? ENHANCING MIMICRY ATTACKS USING AUTOMATIC TARGET SPEAKER SELECTION）</news:title>
   <news:publication_date>2026-07-03T16:02:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707703</loc>
  <lastmod>2026-07-03T16:01:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ATTS2S-VCによる音声変換の実務的解説（ATTS2S-VC: SEQUENCE-TO-SEQUENCE VOICE CONVERSION WITH ATTENTION AND CONTEXT PRESERVATION MECHANISMS）</news:title>
   <news:publication_date>2026-07-03T16:01:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707701</loc>
  <lastmod>2026-07-03T16:01:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己適応型ニューラルファジィ制御器PACによる小型空中機の自律制御（PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles）</news:title>
   <news:publication_date>2026-07-03T16:01:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707699</loc>
  <lastmod>2026-07-03T16:01:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>鼻用PAPマスクの顔写真による完全自動サイズ決定システム（A Fully Automated System for Sizing Nasal PAP Masks Using Facial Photographs）</news:title>
   <news:publication_date>2026-07-03T16:01:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707697</loc>
  <lastmod>2026-07-03T16:00:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>M2M-GANによる多対多ドメイン転移学習で変わる人物再識別（M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification）</news:title>
   <news:publication_date>2026-07-03T16:00:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707695</loc>
  <lastmod>2026-07-03T16:00:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>書体完成を実現する生成対抗ネットワーク（Typeface Completion with Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-07-03T16:00:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707693</loc>
  <lastmod>2026-07-03T15:09:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RSAによる分散学習の耐ビザンチン性強化（RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets）</news:title>
   <news:publication_date>2026-07-03T15:09:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707691</loc>
  <lastmod>2026-07-03T15:08:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>EA-LSTMによる時系列予測の進化（EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction）</news:title>
   <news:publication_date>2026-07-03T15:08:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707689</loc>
  <lastmod>2026-07-03T15:08:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>位置・力情報に基づく模倣学習（Imitation Learning for Object Manipulation Based on Position/Force Information Using Bilateral Control）</news:title>
   <news:publication_date>2026-07-03T15:08:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707687</loc>
  <lastmod>2026-07-03T15:08:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エンジニアを想像する：GANに基づくデータ拡張が偏見を助長する仕組み（Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases）</news:title>
   <news:publication_date>2026-07-03T15:08:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707685</loc>
  <lastmod>2026-07-03T15:07:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepSaucer: DNN検証のための統合環境（DeepSaucer: Unified Environment for Verifying Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-03T15:07:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707683</loc>
  <lastmod>2026-07-03T15:07:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ベトナム語の系列ラベリングのニューラル手法（Neural sequence labeling for Vietnamese POS Tagging and NER）</news:title>
   <news:publication_date>2026-07-03T15:07:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707681</loc>
  <lastmod>2026-07-03T15:07:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Mobile Edge Learningにおける適応的タスク割当（Adaptive Task Allocation for Mobile Edge Learning）</news:title>
   <news:publication_date>2026-07-03T15:07:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707679</loc>
  <lastmod>2026-07-03T14:16:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>治療効果の個人差を定量化する基本指標（A Fundamental Measure of Treatment Effect Heterogeneity）</news:title>
   <news:publication_date>2026-07-03T14:16:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707677</loc>
  <lastmod>2026-07-03T14:15:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>シフト不変多次元分布の密度推定（Density estimation for shift-invariant multidimensional distributions）</news:title>
   <news:publication_date>2026-07-03T14:15:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707675</loc>
  <lastmod>2026-07-03T14:15:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>星・銀河・QSOの分類と恒星有効温度回帰への機械学習応用（MACHINE LEARNING APPLIED TO STAR-GALAXY-QSO CLASSIFICATION AND STELLAR EFFECTIVE TEMPERATURE REGRESSION）</news:title>
   <news:publication_date>2026-07-03T14:15:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707673</loc>
  <lastmod>2026-07-03T14:15:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意味とコントラストを統合した注目度推定（Semantic and Contrast-Aware Saliency）</news:title>
   <news:publication_date>2026-07-03T14:15:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707671</loc>
  <lastmod>2026-07-03T14:15:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>行動ベースのレビュー不正検出に対する回避攻撃の生成と対策（Securing Behavior-based Opinion Spam Detection）</news:title>
   <news:publication_date>2026-07-03T14:15:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707669</loc>
  <lastmod>2026-07-03T14:14:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Activation Clustering によるDNNのバックドア検出（Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering）</news:title>
   <news:publication_date>2026-07-03T14:14:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707667</loc>
  <lastmod>2026-07-03T14:14:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>決定ベースの普遍的ブラックボックス摂動：セキュリティ・スルー・オブスキュリティ防御を破る（Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses）</news:title>
   <news:publication_date>2026-07-03T14:14:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707665</loc>
  <lastmod>2026-07-03T13:23:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハイパースペクトル画像セグメンテーションの検証（Validating Hyperspectral Image Segmentation）</news:title>
   <news:publication_date>2026-07-03T13:23:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707663</loc>
  <lastmod>2026-07-03T13:14:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>歪みのない中間サンプリングによる高速決定型点過程（Fast determinantal point processes via distortion-free intermediate sampling）</news:title>
   <news:publication_date>2026-07-03T13:14:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707661</loc>
  <lastmod>2026-07-03T13:14:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>光学フローのためのエネルギー基づくインペインティングを学習する（Learning Energy Based Inpainting for Optical Flow）</news:title>
   <news:publication_date>2026-07-03T13:14:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707659</loc>
  <lastmod>2026-07-03T13:13:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>潜在空間学習と反転によるGANのモード整合（Mode matching in GANs through latent space learning and inversion）</news:title>
   <news:publication_date>2026-07-03T13:13:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707657</loc>
  <lastmod>2026-07-03T13:12:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>股関節骨折を予測する深層学習と交絡因子の影響（Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables）</news:title>
   <news:publication_date>2026-07-03T13:12:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707655</loc>
  <lastmod>2026-07-03T13:12:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>触覚を使ったロボットの自己制御を学ぶ潜在空間力学（Learning Latent Space Dynamics for Tactile Servoing）</news:title>
   <news:publication_date>2026-07-03T13:12:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707653</loc>
  <lastmod>2026-07-03T13:12:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>純粋にシーケンスで訓練されたニューラル音響モデルの格子フリー判別訓練基準比較（A COMPARISON OF LATTICE-FREE DISCRIMINATIVE TRAINING CRITERIA FOR PURELY SEQUENCE-TRAINED NEURAL NETWORK ACOUSTIC MODELS）</news:title>
   <news:publication_date>2026-07-03T13:12:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707651</loc>
  <lastmod>2026-07-03T12:21:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習は市販CTの再構成を超えうるか（Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?）</news:title>
   <news:publication_date>2026-07-03T12:21:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707649</loc>
  <lastmod>2026-07-03T12:20:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ダイマーと楕円体の非晶質充填における構造欠陥の機械学習による記述（Machine Learning Characterization of Structural Defects in Amorphous Packings of Dimers and Ellipses）</news:title>
   <news:publication_date>2026-07-03T12:20:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707647</loc>
  <lastmod>2026-07-03T12:20:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>攻撃バンドリングによる頑健性評価の改善（Better Adversarial Robustness Evaluations with Attack Bundling）</news:title>
   <news:publication_date>2026-07-03T12:20:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707645</loc>
  <lastmod>2026-07-03T12:19:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クエーサー周辺での低質量銀河形成抑制の観測的示唆（Suppression of Low-mass Galaxy Formation around Quasars at z ∼2–3）</news:title>
   <news:publication_date>2026-07-03T12:19:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707643</loc>
  <lastmod>2026-07-03T12:19:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層表現の統計的性質に関する実証的研究（Statistical Characteristics of Deep Representations）</news:title>
   <news:publication_date>2026-07-03T12:19:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707641</loc>
  <lastmod>2026-07-03T12:19:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Blackboard上の学習行動と成績の関係に関する新たな検討（A Novel Study of the Relation Between Students’ Navigational Behavior on Blackboard and their Learning Performance in an Undergraduate Networking Course）</news:title>
   <news:publication_date>2026-07-03T12:19:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707639</loc>
  <lastmod>2026-07-03T12:18:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>適応的最適化法を用いた実用的ベイジアンニューラルネットワーク（Practical Bayesian Neural Networks via Adaptive Optimization Methods）</news:title>
   <news:publication_date>2026-07-03T12:18:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707637</loc>
  <lastmod>2026-07-03T11:26:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンライン版Plug-and-Playによるスケーラブルな再構成手法（An online plug-and-play algorithm for regularized image reconstruction）</news:title>
   <news:publication_date>2026-07-03T11:26:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707635</loc>
  <lastmod>2026-07-03T11:26:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>星形成矮小銀河の環境別進化（Dwarf Galaxies: From the Deep Universe to the Present）</news:title>
   <news:publication_date>2026-07-03T11:26:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707633</loc>
  <lastmod>2026-07-03T11:25:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クエーサー降着円盤サイズの連続光学遅延測定（Quasar Accretion Disk Sizes from Continuum Reverberation Mapping in the DES Standard Star Fields）</news:title>
   <news:publication_date>2026-07-03T11:25:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707631</loc>
  <lastmod>2026-07-03T11:25:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューロモルフィック計算の優位性を示すパイロット研究（Demonstrating Advantages of Neuromorphic Computation: A Pilot Study）</news:title>
   <news:publication_date>2026-07-03T11:25:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707629</loc>
  <lastmod>2026-07-03T11:25:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Pipe-SGD：分散深層学習のための分散パイプライン化SGDフレームワーク（Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training）</news:title>
   <news:publication_date>2026-07-03T11:25:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707627</loc>
  <lastmod>2026-07-03T11:24:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コヒーレント振動を持つ恒星のアステロシーズミクスに深層学習を適用する手法（Deep Learning Applied to the Asteroseismic Modeling of Stars with Coherent Oscillation Modes）</news:title>
   <news:publication_date>2026-07-03T11:24:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707625</loc>
  <lastmod>2026-07-03T10:34:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GradiVeQ：分散CNN訓練における帯域効率の高い勾配集約（GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training）</news:title>
   <news:publication_date>2026-07-03T10:34:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707623</loc>
  <lastmod>2026-07-03T10:34:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モバイルキーボード予測における端末内学習の実証（Federated Learning for Mobile Keyboard Prediction）</news:title>
   <news:publication_date>2026-07-03T10:34:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707621</loc>
  <lastmod>2026-07-03T10:33:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ並列性がニューラルネット学習に与える影響（Measuring the Effects of Data Parallelism on Neural Network Training）</news:title>
   <news:publication_date>2026-07-03T10:33:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707619</loc>
  <lastmod>2026-07-03T10:32:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>外側双リプシッツ拡張による非線形次元削減（Nonlinear Dimension Reduction via Outer Bi-Lipschitz Extensions）</news:title>
   <news:publication_date>2026-07-03T10:32:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707617</loc>
  <lastmod>2026-07-03T10:32:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>協働力を学ぶためのASCCRフレーム（THE ASCCR FRAME FOR LEARNING ESSENTIAL COLLABORATION SKILLS）</news:title>
   <news:publication_date>2026-07-03T10:32:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707615</loc>
  <lastmod>2026-07-03T10:32:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>限定的コミットメント下のメカニズム設計（Mechanism Design with Limited Commitment）</news:title>
   <news:publication_date>2026-07-03T10:32:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707613</loc>
  <lastmod>2026-07-03T10:32:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タウ粒子に関するモンテカルロと機械学習の統合（Monte Carlo, fitting and Machine Learning for Tau leptons）</news:title>
   <news:publication_date>2026-07-03T10:32:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707611</loc>
  <lastmod>2026-07-03T09:40:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>銀河形態ラベリングの系統的バイアス（Systematic Labeling Bias in Galaxy Morphologies）</news:title>
   <news:publication_date>2026-07-03T09:40:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707609</loc>
  <lastmod>2026-07-03T09:30:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>線形ニューラルネットワークにおける勾配降下法の幾何学的解析（A GEOMETRIC APPROACH OF GRADIENT DESCENT ALGORITHMS IN LINEAR NEURAL NETWORKS）</news:title>
   <news:publication_date>2026-07-03T09:30:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707607</loc>
  <lastmod>2026-07-03T09:30:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模視覚能動学習とDeep Probabilistic Ensembles（Large-Scale Visual Active Learning with Deep Probabilistic Ensembles）</news:title>
   <news:publication_date>2026-07-03T09:30:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707605</loc>
  <lastmod>2026-07-03T09:29:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ストリップ幾何とクォイヴァーの対応（Topological strings, strips and quivers）</news:title>
   <news:publication_date>2026-07-03T09:29:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707603</loc>
  <lastmod>2026-07-03T09:29:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低浸透率のコネクテッド車両環境でのリアルタイム交通流予測（Real-time Traffic Flow Parameters Prediction with Basic Safety Messages at Low Penetration of Connected Vehicles）</news:title>
   <news:publication_date>2026-07-03T09:29:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707601</loc>
  <lastmod>2026-07-03T09:29:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ターゲット領域へ適応する戦略的代理ラベルカリキュラム（Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels）</news:title>
   <news:publication_date>2026-07-03T09:29:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707599</loc>
  <lastmod>2026-07-03T09:29:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>脳に近い学習アルゴリズムは大規模データに拡張できる（Biologically-Plausible Learning Algorithms Can Scale to Large Datasets）</news:title>
   <news:publication_date>2026-07-03T09:29:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707597</loc>
  <lastmod>2026-07-03T08:37:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>群知能における社会的相互作用の解明（Uncovering the Social Interaction in Swarm Intelligence with Network Science）</news:title>
   <news:publication_date>2026-07-03T08:37:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707595</loc>
  <lastmod>2026-07-03T08:37:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復的教室ティーチング（Iterative Classroom Teaching）</news:title>
   <news:publication_date>2026-07-03T08:37:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707593</loc>
  <lastmod>2026-07-03T08:36:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>同じ場での体験をつなぐためのイベントマイニング（Towards Connecting Experiences during Collocated Events through Data Mining and Visualization）</news:title>
   <news:publication_date>2026-07-03T08:36:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707591</loc>
  <lastmod>2026-07-03T08:36:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的方向の伝播に関する幾何学的視点 (A Geometric Perspective on the Transferability of Adversarial Directions)</news:title>
   <news:publication_date>2026-07-03T08:36:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707589</loc>
  <lastmod>2026-07-03T08:36:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>格子シミュレーションにおける自己相関時間削減とGANの応用（Reducing Autocorrelation Times in Lattice Simulations with Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-07-03T08:36:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707587</loc>
  <lastmod>2026-07-03T08:36:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>遺伝子の優勢性は学習効果の産物か（The Evolution of Gene Dominance through the Baldwin Effect）</news:title>
   <news:publication_date>2026-07-03T08:36:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707585</loc>
  <lastmod>2026-07-03T08:36:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>衛星画像からの密なステレオマッチング学習（Learning Dense Stereo Matching for Digital Surface Models from Satellite Imagery）</news:title>
   <news:publication_date>2026-07-03T08:36:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707583</loc>
  <lastmod>2026-07-03T07:44:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意ベースのシーケンス・ツー・シーケンスモデルによる少数ショット学習（FEW-SHOT LEARNING WITH ATTENTION-BASED SEQUENCE-TO-SEQUENCE MODELS）</news:title>
   <news:publication_date>2026-07-03T07:44:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707581</loc>
  <lastmod>2026-07-03T07:44:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>野外デモンストレーションから学ぶ（Learning from Demonstration in the Wild）</news:title>
   <news:publication_date>2026-07-03T07:44:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707579</loc>
  <lastmod>2026-07-03T07:44:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単語埋め込みを用いたクエリ拡張のための深層ニューラルネットワーク（Deep Neural Networks for Query Expansion using Word Embeddings）</news:title>
   <news:publication_date>2026-07-03T07:44:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707577</loc>
  <lastmod>2026-07-03T07:43:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>距離に基づくタンパク質折り畳み（Distance-based Protein Folding Powered by Deep Learning）</news:title>
   <news:publication_date>2026-07-03T07:43:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707575</loc>
  <lastmod>2026-07-03T07:43:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動化されたログパーシングのツールとベンチマーク（Tools and Benchmarks for Automated Log Parsing）</news:title>
   <news:publication_date>2026-07-03T07:43:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707573</loc>
  <lastmod>2026-07-03T07:43:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニュートリノを用いた核施設検証の提案（Neutrino-based tools for nuclear verification and diplomacy in North Korea）</news:title>
   <news:publication_date>2026-07-03T07:43:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707571</loc>
  <lastmod>2026-07-03T07:42:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非属性グラフ分類のシンプルな基準（A simple yet effective baseline for non-attributed graph classification）</news:title>
   <news:publication_date>2026-07-03T07:42:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707569</loc>
  <lastmod>2026-07-03T06:51:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顕微鏡核の分類・セグメンテーション・検出（Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches）</news:title>
   <news:publication_date>2026-07-03T06:51:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707567</loc>
  <lastmod>2026-07-03T06:51:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>潜在変数の白色化による変分オートエンコーダの因子分解（Disentangling Latent Factors of Variational Auto-Encoder with Whitening）</news:title>
   <news:publication_date>2026-07-03T06:51:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707565</loc>
  <lastmod>2026-07-03T06:50:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>α-IntegroationプーリングによるCNNの改良（Alpha-Integration Pooling for Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-07-03T06:50:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707563</loc>
  <lastmod>2026-07-03T06:49:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ベイズ信号処理アルゴリズムの自動設計への因子グラフアプローチ（A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms）</news:title>
   <news:publication_date>2026-07-03T06:49:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707561</loc>
  <lastmod>2026-07-03T06:49:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スピンガラスの自由エネルギー障壁に関する数値研究（Numerical study of barriers and valleys in the free-energy landscape of spin glasses）</news:title>
   <news:publication_date>2026-07-03T06:49:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707559</loc>
  <lastmod>2026-07-03T06:49:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>外部制御ゲーティングによる特徴ベース注意の導入（ExGate: Externally Controlled Gating for Feature-based Attention in Artificial Neural Networks）</news:title>
   <news:publication_date>2026-07-03T06:49:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707557</loc>
  <lastmod>2026-07-03T06:48:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>心臓運動の「見える化」で病態分類を簡潔にする手法（Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow）</news:title>
   <news:publication_date>2026-07-03T06:48:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707555</loc>
  <lastmod>2026-07-03T05:57:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルネットワークで解くブラジウス方程式（A Neural Network Study of Blasius Equation）</news:title>
   <news:publication_date>2026-07-03T05:57:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707553</loc>
  <lastmod>2026-07-03T05:57:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>地球型惑星大気の復元に挑むベイズ深層学習（Bayesian Deep Learning for Exoplanet Atmospheric Retrieval）</news:title>
   <news:publication_date>2026-07-03T05:57:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707551</loc>
  <lastmod>2026-07-03T05:57:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>変換的機械学習が変える表現の作り方（Transformative Machine Learning）</news:title>
   <news:publication_date>2026-07-03T05:57:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707549</loc>
  <lastmod>2026-07-03T05:56:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>限られた環境知識下における記憶を用いた深層強化学習によるUAV障害回避 (Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge)</news:title>
   <news:publication_date>2026-07-03T05:56:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707547</loc>
  <lastmod>2026-07-03T05:56:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文書を画像に変える新戦略：DOC2IMが示すテキスト分類のパラダイム転換（DOC2IM: DOCUMENT TO IMAGE CONVERSION THROUGH SELF-ATTENTIVE EMBEDDING）</news:title>
   <news:publication_date>2026-07-03T05:56:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707545</loc>
  <lastmod>2026-07-03T05:56:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スマートフォン上のディープラーニング実装の実態調査（A First Look at Deep Learning Apps on Smartphones）</news:title>
   <news:publication_date>2026-07-03T05:56:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707543</loc>
  <lastmod>2026-07-03T05:55:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>話者適応型ニューラルボコーダによるパラメトリック音声合成（Speaker-Adaptive Neural Vocoders for Parametric Speech Synthesis Systems）</news:title>
   <news:publication_date>2026-07-03T05:55:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707541</loc>
  <lastmod>2026-07-03T05:05:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最適輸送（Optimal Transport）で読み解くモデルの汎化（An Optimal Transport View on Generalization）</news:title>
   <news:publication_date>2026-07-03T05:05:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707539</loc>
  <lastmod>2026-07-03T05:04:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>YODA: ブロックチェーンで計算負荷の高い契約を実行する仕組み（YODA: Enabling computationally intensive contracts on blockchains with Byzantine and Selfish nodes）</news:title>
   <news:publication_date>2026-07-03T05:04:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707537</loc>
  <lastmod>2026-07-03T05:04:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>楽音における音色と音高の分離表現学習（LEARNING DISENTANGLED REPRESENTATIONS FOR TIMBRE AND PITCH IN MUSIC AUDIO）</news:title>
   <news:publication_date>2026-07-03T05:04:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707535</loc>
  <lastmod>2026-07-03T05:03:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>発話単位の音素注意によるスピーカー認証スコアリング（PHONETIC-ATTENTION SCORING FOR DEEP SPEAKER FEATURES IN SPEAKER VERIFICATION）</news:title>
   <news:publication_date>2026-07-03T05:03:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707533</loc>
  <lastmod>2026-07-03T05:03:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>有限メモリの個人がネットワークで協働して最善手を学ぶ仕組み（Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory）</news:title>
   <news:publication_date>2026-07-03T05:03:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707531</loc>
  <lastmod>2026-07-03T05:03:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モデル選択による一般化ゼロショット学習の改良（Model Selection for Generalized Zero-shot Learning）</news:title>
   <news:publication_date>2026-07-03T05:03:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707529</loc>
  <lastmod>2026-07-03T05:03:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層生成モデルにおけるバイアスと一般化の実証的考察（Bias and Generalization in Deep Generative Models: An Empirical Study）</news:title>
   <news:publication_date>2026-07-03T05:03:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707527</loc>
  <lastmod>2026-07-03T04:11:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模データ上での機械学習設定の効率的選択（ABC: Efficient Selection of Machine Learning Configuration on Large Dataset）</news:title>
   <news:publication_date>2026-07-03T04:11:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707525</loc>
  <lastmod>2026-07-03T04:11:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>短期電力負荷予測における深層ニューラルネットワーク（Short Term Load Forecasting Using Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-03T04:11:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707523</loc>
  <lastmod>2026-07-03T04:10:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異言語間における概念階層抽出手法の補完性評価（EVALUATING THE COMPLEMENTARITY OF TAXONOMIC RELATION EXTRACTION METHODS ACROSS DIFFERENT LANGUAGES）</news:title>
   <news:publication_date>2026-07-03T04:10:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707521</loc>
  <lastmod>2026-07-03T04:09:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Satyam: 機械視覚のためのグラウンドトゥルース民主化（SATYAM: DEMOCRATIZING GROUNDTRUTH FOR MACHINE VISION）</news:title>
   <news:publication_date>2026-07-03T04:09:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707519</loc>
  <lastmod>2026-07-03T04:09:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マンガ顔の顔部位検出――マンガ画像に特化したランドマークモデルの提案（Facial Landmark Detection for Manga Images）</news:title>
   <news:publication_date>2026-07-03T04:09:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707517</loc>
  <lastmod>2026-07-03T04:09:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>活性化境界の蒸留による知識移転（Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons）</news:title>
   <news:publication_date>2026-07-03T04:09:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707515</loc>
  <lastmod>2026-07-03T04:09:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像と臨床データを統合する診断支援（Integrated Radiological Informatics System with comparison to Oncotype DX gene array）</news:title>
   <news:publication_date>2026-07-03T04:09:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707513</loc>
  <lastmod>2026-07-03T03:17:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>木構造の深層セマンティックインスタンス分割（Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data）</news:title>
   <news:publication_date>2026-07-03T03:17:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707511</loc>
  <lastmod>2026-07-03T03:17:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少ない絵から無限をつくる手法（An Infinite Parade of Giraffes: Expressive Augmentation and Complexity Layers for Cartoon Drawing）</news:title>
   <news:publication_date>2026-07-03T03:17:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707509</loc>
  <lastmod>2026-07-03T03:17:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オーストラリアにおける太陽光導入支援と重要事例の効率的特定（Solar Enablement Initiative in Australia: Report on Efficiently Identifying Critical Cases for Evaluating the Voltage Impact of Large PV Investment）</news:title>
   <news:publication_date>2026-07-03T03:17:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707507</loc>
  <lastmod>2026-07-03T03:15:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>強力なジェットとクエーサーPKS 0438−436のガンマ線フレア（The Powerful Jet and Gamma-Ray Flare of the Quasar PKS 0438−436）</news:title>
   <news:publication_date>2026-07-03T03:15:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707505</loc>
  <lastmod>2026-07-03T03:15:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>語表現空間に「曖昧さ」を付け加えるアプローチ（Confusion2Vec: Towards enriching vector space word representations with representational ambiguities）</news:title>
   <news:publication_date>2026-07-03T03:15:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707503</loc>
  <lastmod>2026-07-03T03:15:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラベルノイズに対する条件付きGANの堅牢性（Robustness of Conditional GANs to Noisy Labels）</news:title>
   <news:publication_date>2026-07-03T03:15:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707501</loc>
  <lastmod>2026-07-03T03:15:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>相関フィルタによる視覚追跡と強化学習を用いたモデル選択（Correlation Filter Selection for Visual Tracking Using Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-03T03:15:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707499</loc>
  <lastmod>2026-07-03T02:23:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚的広告ブロッキングと敵対的機械学習の接点（AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning）</news:title>
   <news:publication_date>2026-07-03T02:23:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707497</loc>
  <lastmod>2026-07-03T02:14:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Johnson–Lindenstrauss変換がk-means/k-mediansクラスタリングにもたらす意義（Performance of Johnson–Lindenstrauss Transform for k-Means and k-Medians Clustering）</news:title>
   <news:publication_date>2026-07-03T02:14:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707495</loc>
  <lastmod>2026-07-03T02:13:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動く点集合の距離行列――Kinetic Euclidean Distance Matrices（Kinetic Euclidean Distance Matrices）</news:title>
   <news:publication_date>2026-07-03T02:13:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707493</loc>
  <lastmod>2026-07-03T02:13:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サブポピュレーションは何個まで推定可能か（How Many Subpopulations is Too Many? Exponential Lower Bounds for Inferring Population Histories）</news:title>
   <news:publication_date>2026-07-03T02:13:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707491</loc>
  <lastmod>2026-07-03T02:13:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成敵対ネットワークが分布をどれだけ学習するか（How Well Generative Adversarial Networks Learn Distributions）</news:title>
   <news:publication_date>2026-07-03T02:13:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707489</loc>
  <lastmod>2026-07-03T02:12:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフ接続ラプラシアンによるジグソーパズル自動復元（Solving Jigsaw Puzzles By The Graph Connection Laplacian）</news:title>
   <news:publication_date>2026-07-03T02:12:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707487</loc>
  <lastmod>2026-07-03T02:12:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スパースCNNを効率的に詰める手法（Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization）</news:title>
   <news:publication_date>2026-07-03T02:12:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707485</loc>
  <lastmod>2026-07-03T01:21:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>減衰で量子データを分類する（Classifying quantum data by dissipation）</news:title>
   <news:publication_date>2026-07-03T01:21:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707483</loc>
  <lastmod>2026-07-03T01:20:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>粒子加速器における機械学習の可能性（Opportunities in Machine Learning for Particle Accelerators）</news:title>
   <news:publication_date>2026-07-03T01:20:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707481</loc>
  <lastmod>2026-07-03T01:20:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダム有向非循環グラフにおけるブロードキャスティング（Broadcasting on Random Directed Acyclic Graphs）</news:title>
   <news:publication_date>2026-07-03T01:20:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707479</loc>
  <lastmod>2026-07-03T01:20:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ポアソン・マルチ・バーンヌー写像とギブスサンプリングによる推論（Poisson Multi-Bernoulli Mapping Using Gibbs Sampling）</news:title>
   <news:publication_date>2026-07-03T01:20:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707477</loc>
  <lastmod>2026-07-03T01:19:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模データに対する教師付きランダム射影によるクラス認識埋め込み学習（SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections）</news:title>
   <news:publication_date>2026-07-03T01:19:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707475</loc>
  <lastmod>2026-07-03T01:19:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意融合ネットワーク（Attention Fusion Networks: Combining Behavior and E-mail Content to Improve Customer Support）</news:title>
   <news:publication_date>2026-07-03T01:19:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707473</loc>
  <lastmod>2026-07-03T01:19:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>従来撮像と圧縮撮像を見分ける法医学的識別（Forensic Discrimination between Traditional and Compressive Imaging Systems）</news:title>
   <news:publication_date>2026-07-03T01:19:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707471</loc>
  <lastmod>2026-07-03T00:28:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DragonPaint: 小データ向けルールベースのブートストラップと漫画塗りの応用 (DragonPaint: Rule Based Bootstrapping for Small Data with an Application to Cartoon Coloring)</news:title>
   <news:publication_date>2026-07-03T00:28:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707469</loc>
  <lastmod>2026-07-03T00:28:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>家禽の行動を時系列で分類して福祉を改善する（Time Series Classification to Improve Poultry Welfare）</news:title>
   <news:publication_date>2026-07-03T00:28:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707467</loc>
  <lastmod>2026-07-03T00:27:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>流れと不均一底面上の表面波（Surface waves over currents and uneven bottom）</news:title>
   <news:publication_date>2026-07-03T00:27:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707465</loc>
  <lastmod>2026-07-03T00:27:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散低ランク行列因子分解における大域最適性（Global Optimality in Distributed Low-rank Matrix Factorization）</news:title>
   <news:publication_date>2026-07-03T00:27:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707463</loc>
  <lastmod>2026-07-03T00:26:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>UAVを使った飛行アクセスポイントの可用性とコスト効率（Strategic Availability and Cost Effective UAV-based Flying Access Networks: S-Modular Game Analysis）</news:title>
   <news:publication_date>2026-07-03T00:26:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707461</loc>
  <lastmod>2026-07-03T00:26:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>探索盲目チェスの複雑性（On the Complexity of Reconnaissance Blind Chess）</news:title>
   <news:publication_date>2026-07-03T00:26:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707459</loc>
  <lastmod>2026-07-03T00:26:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ColorUNetによる画像の自動彩色（ColorUNet: A convolutional classification approach to colorization）</news:title>
   <news:publication_date>2026-07-03T00:26:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707457</loc>
  <lastmod>2026-07-02T23:35:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ブロック単位の並列復号による高速化（Blockwise Parallel Decoding for Deep Autoregressive Models）</news:title>
   <news:publication_date>2026-07-02T23:35:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707455</loc>
  <lastmod>2026-07-02T23:25:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>チェイン型GANで作る高解像度合成銀河画像（Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networks）</news:title>
   <news:publication_date>2026-07-02T23:25:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707453</loc>
  <lastmod>2026-07-02T23:24:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>良性と病的な深層ニューラルネットワークの特徴づけ（Characterizing Well-Behaved vs. Pathological Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-02T23:24:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707451</loc>
  <lastmod>2026-07-02T23:24:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-End Speaker Verification（Generative Adversarial Speaker Embedding Networks for Domain Robust End-to-End Speaker Verification）</news:title>
   <news:publication_date>2026-07-02T23:24:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707449</loc>
  <lastmod>2026-07-02T23:24:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>皮膚科画像診断におけるプロトタイプクラスタリングネットワーク（Prototypical Clustering Networks for Dermatological Disease Diagnosis）</news:title>
   <news:publication_date>2026-07-02T23:24:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707447</loc>
  <lastmod>2026-07-02T23:23:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラス条件付き埋め込みによる音楽音源分離（Class-Conditional Embeddings for Music Source Separation）</news:title>
   <news:publication_date>2026-07-02T23:23:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707445</loc>
  <lastmod>2026-07-02T23:23:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>FLOPsを直接目的関数に組み込する圧縮手法（FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks）</news:title>
   <news:publication_date>2026-07-02T23:23:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707443</loc>
  <lastmod>2026-07-02T22:32:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ポリシー証明書による説明責任付き強化学習（Policy Certificates: Towards Accountable Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-02T22:32:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707441</loc>
  <lastmod>2026-07-02T22:32:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エンドツーエンド音声話者認証の適応と敵対的学習（Adapting End-to-End Neural Speaker Verification to New Languages and Recording Conditions with Adversarial Training）</news:title>
   <news:publication_date>2026-07-02T22:32:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707439</loc>
  <lastmod>2026-07-02T22:31:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RNNFastとドメインウォールメモリが開くRNNアクセラレータの実務的価値（RNNFast: An Accelerator for Recurrent Neural Networks Using Domain Wall Memory）</news:title>
   <news:publication_date>2026-07-02T22:31:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707437</loc>
  <lastmod>2026-07-02T22:31:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Degree-d Chow パラメータが示す堅牢な識別性（Degree-d Chow Parameters Robustly Determine Degree-d PTFs）</news:title>
   <news:publication_date>2026-07-02T22:31:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707435</loc>
  <lastmod>2026-07-02T22:31:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>近似したターゲット側を用いた特徴減衰アルゴリズムによるデータ選択 (Data Selection with Feature Decay Algorithms Using an Approximated Target Side)</news:title>
   <news:publication_date>2026-07-02T22:31:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707433</loc>
  <lastmod>2026-07-02T22:30:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>デモから学ぶハイブリッド力・位置制御の制約フレーム学習（Learning Task Constraints from Demonstration for Hybrid Force/Position Control）</news:title>
   <news:publication_date>2026-07-02T22:30:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707431</loc>
  <lastmod>2026-07-02T22:30:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不完全なイベント観測からのネットワーク推定（Estimating Network Structure from Incomplete Event Data）</news:title>
   <news:publication_date>2026-07-02T22:30:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707429</loc>
  <lastmod>2026-07-02T21:38:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習モデルの説明 – ベイジアン非パラメトリックアプローチ（Explaining Deep Learning Models – A Bayesian Non-parametric Approach）</news:title>
   <news:publication_date>2026-07-02T21:38:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707427</loc>
  <lastmod>2026-07-02T21:38:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>行動レパートリーの生成モデル化（Behavioural Repertoire via Generative Adversarial Policy Networks）</news:title>
   <news:publication_date>2026-07-02T21:38:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707425</loc>
  <lastmod>2026-07-02T21:38:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキストベースの関係推論による構成的言語理解（Compositional Language Understanding with Text-based Relational Reasoning）</news:title>
   <news:publication_date>2026-07-02T21:38:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707423</loc>
  <lastmod>2026-07-02T21:37:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチビューデータにおけるノイズの共通化と個別化による頑健化（Model Inconsistent but Correlated Noise: Multi-view Subspace Learning with Regularized Mixture of Gaussians）</news:title>
   <news:publication_date>2026-07-02T21:37:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707421</loc>
  <lastmod>2026-07-02T21:37:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LDAからBiLSTM-CNNへの転移学習でツイッターの攻撃的言語を検出する（Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter）</news:title>
   <news:publication_date>2026-07-02T21:37:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707419</loc>
  <lastmod>2026-07-02T21:36:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多枝分岐畳み込みニューラルネットワークによる多発性硬化症病変セグメンテーション（Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation）</news:title>
   <news:publication_date>2026-07-02T21:36:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707417</loc>
  <lastmod>2026-07-02T21:36:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Universal Spike Classifierの解説（Universal Spike Classifier）</news:title>
   <news:publication_date>2026-07-02T21:36:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707415</loc>
  <lastmod>2026-07-02T20:46:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層強化学習を用いた変調・符号化方式選択（Deep Reinforcement Learning based Modulation and Coding Scheme Selection in Cognitive Heterogeneous Networks）</news:title>
   <news:publication_date>2026-07-02T20:46:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707413</loc>
  <lastmod>2026-07-02T20:45:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データセット特性が生成的敵対ネットワークの学習に与える影響（Effects of Dataset properties on the training of Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-07-02T20:45:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707411</loc>
  <lastmod>2026-07-02T20:45:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>観察だけで適応的トレーダーを再現する深層学習（Deep Learning can Replicate Adaptive Traders in a Limit-Order-Book Financial Market）</news:title>
   <news:publication_date>2026-07-02T20:45:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707409</loc>
  <lastmod>2026-07-02T20:44:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リンクドデータの精緻化のための目的志向ゲーム構築フレームワーク（A Framework to build Games with a Purpose for Linked Data Reﬁnement）</news:title>
   <news:publication_date>2026-07-02T20:44:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707407</loc>
  <lastmod>2026-07-02T20:44:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>構造化オブジェクトの比較を変えるFGW距離（Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties）</news:title>
   <news:publication_date>2026-07-02T20:44:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707405</loc>
  <lastmod>2026-07-02T20:44:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ギガピクセル病理画像解析のためのニューラル画像圧縮（Neural Image Compression for Gigapixel Histopathology Image Analysis）</news:title>
   <news:publication_date>2026-07-02T20:44:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707403</loc>
  <lastmod>2026-07-02T20:44:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Wasserstein variational gradient descentの概説（Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference）</news:title>
   <news:publication_date>2026-07-02T20:44:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707401</loc>
  <lastmod>2026-07-02T19:53:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ソニフィケーションと市民科学による磁気圏ULF波の探索（First results from sonification and exploratory citizen science of magnetospheric ULF waves）</news:title>
   <news:publication_date>2026-07-02T19:53:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707399</loc>
  <lastmod>2026-07-02T19:53:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異種ソースを統合する階層的トピックモデルの構築と評価（Construction and Quality Evaluation of Heterogeneous Hierarchical Topic Models）</news:title>
   <news:publication_date>2026-07-02T19:53:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707397</loc>
  <lastmod>2026-07-02T19:52:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SocialGCNによるソーシャル推薦のための効率的GCNモデル (SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation)</news:title>
   <news:publication_date>2026-07-02T19:52:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707395</loc>
  <lastmod>2026-07-02T19:52:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パンド密度を考慮した群衆カウントの新展開（PaDNet: Pan-Density Crowd Counting）</news:title>
   <news:publication_date>2026-07-02T19:52:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707393</loc>
  <lastmod>2026-07-02T19:51:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>THORS: 閾値を秤にかけてコストを最小化する手法（THORS: An Efficient Approach for Making Classifiers Cost-sensitive）</news:title>
   <news:publication_date>2026-07-02T19:51:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707391</loc>
  <lastmod>2026-07-02T19:51:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>拘束付き粒子群最適化に基づく最適化隠れマルコフモデル（Optimized Hidden Markov Model based on Constrained Particle Swarm Optimization）</news:title>
   <news:publication_date>2026-07-02T19:51:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707389</loc>
  <lastmod>2026-07-02T19:51:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多言語シーケンス・ツー・シーケンス音声認識の解析 (ANALYSIS OF MULTILINGUAL SEQUENCE-TO-SEQUENCE SPEECH RECOGNITION SYSTEMS)</news:title>
   <news:publication_date>2026-07-02T19:51:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707387</loc>
  <lastmod>2026-07-02T19:00:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なし学習による画像平滑化（Image Smoothing via Unsupervised Learning）</news:title>
   <news:publication_date>2026-07-02T19:00:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707385</loc>
  <lastmod>2026-07-02T19:00:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチタスク・グラフ・オートエンコーダ（Multi-Task Graph Autoencoders）</news:title>
   <news:publication_date>2026-07-02T19:00:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707383</loc>
  <lastmod>2026-07-02T18:59:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高忠実度シングルピクセルイメージング（High fidelity single-pixel imaging）</news:title>
   <news:publication_date>2026-07-02T18:59:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707381</loc>
  <lastmod>2026-07-02T18:59:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>知識合成による包括的分類モデルの作り方（Amalgamating Knowledge towards Comprehensive Classification）</news:title>
   <news:publication_date>2026-07-02T18:59:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707379</loc>
  <lastmod>2026-07-02T18:59:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ROBOTURKに学ぶ――クラウドでロボット技能の「規模」を作る方法（ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation）</news:title>
   <news:publication_date>2026-07-02T18:59:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707377</loc>
  <lastmod>2026-07-02T18:58:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>心電図不要で心臓位相と拡張期フレームを自動検出する深層ニューラルネットワーク（Deep Neural Networks for ECG-free Cardiac Phase and End-Diastolic Frame Detection on Coronary Angiographies）</news:title>
   <news:publication_date>2026-07-02T18:58:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707375</loc>
  <lastmod>2026-07-02T18:58:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個人レベルでのソーシャルネットワークと意見の個別動態モデリング（Modeling Personalized Dynamics of Social Network and Opinion at Individual Level）</news:title>
   <news:publication_date>2026-07-02T18:58:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707373</loc>
  <lastmod>2026-07-02T18:07:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>隣接性に基づくクラスタリングで改善する音声埋め込みと話し言葉検索への応用 (Improved Audio Embeddings by Adjacency-Based Clustering with Applications in Spoken Term Detection)</news:title>
   <news:publication_date>2026-07-02T18:07:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707371</loc>
  <lastmod>2026-07-02T17:58:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重みの中央値バイナリ化でモバイル音声認識を高速化する方法（Median Binary-Connect Method and a Binary Convolutional Neural Network for Word Recognition）</news:title>
   <news:publication_date>2026-07-02T17:58:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707369</loc>
  <lastmod>2026-07-02T17:58:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AIに対する敵対的攻撃の反復的アンサンブル手法（Iterative Ensemble Adversarial Attack）</news:title>
   <news:publication_date>2026-07-02T17:58:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707367</loc>
  <lastmod>2026-07-02T17:58:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルネットワークの可解釈化を分割で考える（YASENN: Explaining Neural Networks via Partitioning Activation Sequences）</news:title>
   <news:publication_date>2026-07-02T17:58:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707365</loc>
  <lastmod>2026-07-02T17:57:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少データで金ナノクラスター合成を加速する深層学習（Deep Learning Accelerated Gold Nanocluster Synthesis）</news:title>
   <news:publication_date>2026-07-02T17:57:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707363</loc>
  <lastmod>2026-07-02T17:57:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>有望で正確なプレフィックス強化（Promising Accurate Prefix Boosting）によるseq2seq自動音声認識の改善 (PROMISING ACCURATE PREFIX BOOSTING FOR SEQUENCE-TO-SEQUENCE ASR)</news:title>
   <news:publication_date>2026-07-02T17:57:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707361</loc>
  <lastmod>2026-07-02T17:57:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トピックを意識した専門家混合によるゼロショット動画キャプション（Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning）</news:title>
   <news:publication_date>2026-07-02T17:57:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707359</loc>
  <lastmod>2026-07-02T17:05:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視点系列と単語系列の同時再構築による3D形状と言語の相互表現学習（Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences）</news:title>
   <news:publication_date>2026-07-02T17:05:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707357</loc>
  <lastmod>2026-07-02T16:57:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ステアリング予測における異種補助ネットワーク模倣学習（Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks）</news:title>
   <news:publication_date>2026-07-02T16:57:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707355</loc>
  <lastmod>2026-07-02T16:57:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>臨床ノートを用いた重症患者における急性腎障害の早期予測（Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes）</news:title>
   <news:publication_date>2026-07-02T16:57:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707353</loc>
  <lastmod>2026-07-02T16:57:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習を用いたFTN受信機設計の新展開（Deep Learning-based FTN Receiver Design）</news:title>
   <news:publication_date>2026-07-02T16:57:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707351</loc>
  <lastmod>2026-07-02T16:56:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散系における観測不能な系のベイズ状態推定と深層学習の適用（Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning）</news:title>
   <news:publication_date>2026-07-02T16:56:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707349</loc>
  <lastmod>2026-07-02T16:56:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模商標検索におけるコンポーネントベース注意機構（Component-based Attention for Large-scale Trademark Retrieval）</news:title>
   <news:publication_date>2026-07-02T16:56:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707347</loc>
  <lastmod>2026-07-02T16:56:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>散乱組織を透かして細胞の位相を撮る一歩（Coherent space-gated microscopy: a step towards deep-tissue phase imaging of biological cells）</news:title>
   <news:publication_date>2026-07-02T16:56:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707345</loc>
  <lastmod>2026-07-02T16:04:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SKA1による宇宙論調査の位置づけ（Cosmology with Phase 1 of the Square Kilometre Array）</news:title>
   <news:publication_date>2026-07-02T16:04:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707343</loc>
  <lastmod>2026-07-02T16:04:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビュー間予測GANによる3D形状の教師なし表現学習（View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions）</news:title>
   <news:publication_date>2026-07-02T16:04:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707341</loc>
  <lastmod>2026-07-02T16:03:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声単語埋め込みに音素情報を組み込む手法（LEARNING ACOUSTIC WORD EMBEDDINGS WITH PHONETICALLY ASSOCIATED TRIPLET NETWORK）</news:title>
   <news:publication_date>2026-07-02T16:03:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707339</loc>
  <lastmod>2026-07-02T16:03:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高次元データのボトムアップ部分空間クラスタリング（Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data）</news:title>
   <news:publication_date>2026-07-02T16:03:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707337</loc>
  <lastmod>2026-07-02T16:02:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低質量星の多バンド深度撮像による若年星団の発見（Deep, multi-band photometry of low-mass stars to reveal young clusters: a blind study of the NGC 2264 region）</news:title>
   <news:publication_date>2026-07-02T16:02:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707335</loc>
  <lastmod>2026-07-02T16:02:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分布的頑健なグラフィカルモデル（Distributionally Robust Graphical Models）</news:title>
   <news:publication_date>2026-07-02T16:02:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707333</loc>
  <lastmod>2026-07-02T16:02:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビットコインブロックチェーンの確率モデル（A Probabilistic Model of the Bitcoin Blockchain）</news:title>
   <news:publication_date>2026-07-02T16:02:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707331</loc>
  <lastmod>2026-07-02T15:10:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RLLChatbot：ConvAI挑戦への回答（The RLLChatbot: a solution to the ConvAI challenge）</news:title>
   <news:publication_date>2026-07-02T15:10:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707329</loc>
  <lastmod>2026-07-02T15:10:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>代表サンプル選択のための貪欲Frank–Wolfeアルゴリズム (Greedy Frank-Wolfe Algorithm for Exemplar Selection)</news:title>
   <news:publication_date>2026-07-02T15:10:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707327</loc>
  <lastmod>2026-07-02T15:09:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サンプルサイズの異なる群に対する同時ネットワーク推定（NExUS: Bayesian simultaneous network estimation across unequal sample sizes）</news:title>
   <news:publication_date>2026-07-02T15:09:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707325</loc>
  <lastmod>2026-07-02T15:09:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Actor Ensembleによる連続制御における探索改善（ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search）</news:title>
   <news:publication_date>2026-07-02T15:09:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707323</loc>
  <lastmod>2026-07-02T15:09:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層ニューラルネットワークを用いた地震信号の雑音除去と分解（Seismic Signal Denoising and Decomposition Using Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-02T15:09:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707321</loc>
  <lastmod>2026-07-02T15:08:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>L-BFGSを用いた深層強化学習の最適化（Deep Reinforcement Learning via L-BFGS Optimization）</news:title>
   <news:publication_date>2026-07-02T15:08:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707319</loc>
  <lastmod>2026-07-02T15:08:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>脳活動から音声を再構築する WaveNet 風ネットワークの可能性（Reconstructing Speech Stimuli From Human Auditory Cortex Activity Using a WaveNet-like Network）</news:title>
   <news:publication_date>2026-07-02T15:08:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707317</loc>
  <lastmod>2026-07-02T14:16:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特定ドメイン向けモデルで省エネにする物体検出（Training Domain Specific Models for Energy-Efficient Object Detection）</news:title>
   <news:publication_date>2026-07-02T14:16:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707315</loc>
  <lastmod>2026-07-02T14:16:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>連続適応ブレンド（CAB）によるオフポリシー評価と学習（CAB: Continuous Adaptive Blending for Policy Evaluation and Learning）</news:title>
   <news:publication_date>2026-07-02T14:16:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707313</loc>
  <lastmod>2026-07-02T14:15:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>左心室全範囲カバレッジの自動評価（Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN）</news:title>
   <news:publication_date>2026-07-02T14:15:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707311</loc>
  <lastmod>2026-07-02T14:15:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>KL正則化で近似する深層確率的アンサンブル（Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization）</news:title>
   <news:publication_date>2026-07-02T14:15:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707309</loc>
  <lastmod>2026-07-02T14:15:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スパースかつ滑らかな信号推定の凸化（Sparse and Smooth Signal Estimation: Convexification of L0 Formulations）</news:title>
   <news:publication_date>2026-07-02T14:15:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707307</loc>
  <lastmod>2026-07-02T14:15:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>双方向クォータニオンLSTMによる音声認識の効率化（BIDIRECTIONAL QUATERNION LONG-SHORT TERM MEMORY RECURRENT NEURAL NETWORKS FOR SPEECH RECOGNITION）</news:title>
   <news:publication_date>2026-07-02T14:15:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707305</loc>
  <lastmod>2026-07-02T14:14:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数ドメインにまたがる単一チャンネル音声分離のためのコーパス構築（BUILDING CORPORA FOR SINGLE-CHANNEL SPEECH SEPARATION ACROSS MULTIPLE DOMAINS）</news:title>
   <news:publication_date>2026-07-02T14:14:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707303</loc>
  <lastmod>2026-07-02T13:23:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチビュー・ネットワーク埋め込み（Multi-View Network Embedding Via Graph Factorization Clustering and Co-Regularized Multi-View Agreement）</news:title>
   <news:publication_date>2026-07-02T13:23:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707301</loc>
  <lastmod>2026-07-02T13:14:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分子トランスフォーマーによる化学反応予測の革新（Molecular Transformer – A Model for Uncertainty-Calibrated Chemical Reaction Prediction）</news:title>
   <news:publication_date>2026-07-02T13:14:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707299</loc>
  <lastmod>2026-07-02T13:14:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MixTrainによる実用的な検証可能な頑健化のスケーリング（MixTrain: Scalable Training of Veriﬁably Robust Neural Networks）</news:title>
   <news:publication_date>2026-07-02T13:14:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707297</loc>
  <lastmod>2026-07-02T13:14:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルコフ遷移データから学ぶ状態集約（State Aggregation Learning from Markov Transition Data）</news:title>
   <news:publication_date>2026-07-02T13:14:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707295</loc>
  <lastmod>2026-07-02T13:13:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LSTMによる文脈自由文法の学習能力の評価 (Evaluating the Ability of LSTMs to Learn Context-Free Grammars)</news:title>
   <news:publication_date>2026-07-02T13:13:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707293</loc>
  <lastmod>2026-07-02T13:13:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重み付き学習でGANを安定化する手法の概説（TRAINING GENERATIVE ADVERSARIAL NETWORKS WITH WEIGHTS）</news:title>
   <news:publication_date>2026-07-02T13:13:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707291</loc>
  <lastmod>2026-07-02T13:13:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Category Trees（Category Trees）</news:title>
   <news:publication_date>2026-07-02T13:13:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707289</loc>
  <lastmod>2026-07-02T12:21:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンラインオフポリシー予測の実践的安定化（Online Off-policy Prediction）</news:title>
   <news:publication_date>2026-07-02T12:21:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707287</loc>
  <lastmod>2026-07-02T12:20:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層重み付き平均分類器 (Deep Weighted Averaging Classifiers)</news:title>
   <news:publication_date>2026-07-02T12:20:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707285</loc>
  <lastmod>2026-07-02T12:20:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MaNGA向けPyMorph光学・Deep Learning形態カタログの整備（SDSS-IV MaNGA PyMorph Photometric and Deep Learning Morphological Catalogs）</news:title>
   <news:publication_date>2026-07-02T12:20:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707283</loc>
  <lastmod>2026-07-02T12:20:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチチャネルのオンライン言説がビットコイン価格と出来高を示す指標になるか（Multi-channel online discourse as an indicator for Bitcoin price and volume）</news:title>
   <news:publication_date>2026-07-02T12:20:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707281</loc>
  <lastmod>2026-07-02T12:19:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深い方策勾配を見直す（A Closer Look at Deep Policy Gradients）</news:title>
   <news:publication_date>2026-07-02T12:19:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707279</loc>
  <lastmod>2026-07-02T12:19:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>言語生成におけるGANの限界と示唆（Language GANs Falling Short）</news:title>
   <news:publication_date>2026-07-02T12:19:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707277</loc>
  <lastmod>2026-07-02T12:19:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>場の空間における無限遠ネットワークと電荷軌道（Infinite Distance Networks in Field Space and Charge Orbits）</news:title>
   <news:publication_date>2026-07-02T12:19:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707275</loc>
  <lastmod>2026-07-02T11:27:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局在化とセグメンテーション間の深層特徴転移（Deep feature transfer between localization and segmentation tasks）</news:title>
   <news:publication_date>2026-07-02T11:27:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707273</loc>
  <lastmod>2026-07-02T11:27:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>後悔回路：後悔最小化器の合成可能性（REGRET CIRCUITS: COMPOSABILITY OF REGRET MINIMIZERS）</news:title>
   <news:publication_date>2026-07-02T11:27:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707271</loc>
  <lastmod>2026-07-02T11:27:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己追跡データと混合メンバーモデルによる子宮内膜症のデジタル表現（Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data）</news:title>
   <news:publication_date>2026-07-02T11:27:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707269</loc>
  <lastmod>2026-07-02T11:26:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RNNLMを誤り率でチューニングする手法（Discriminative Training of RNNLMs with the Average Word Error Criterion）</news:title>
   <news:publication_date>2026-07-02T11:26:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707267</loc>
  <lastmod>2026-07-02T11:26:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二重適応確率的勾配最適化（Double Adaptive Stochastic Gradient Optimization）</news:title>
   <news:publication_date>2026-07-02T11:26:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707265</loc>
  <lastmod>2026-07-02T11:26:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医用画像における継続学習への道（Towards continual learning in medical imaging）</news:title>
   <news:publication_date>2026-07-02T11:26:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707263</loc>
  <lastmod>2026-07-02T11:25:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>小規模液滴のDNNベースシミュレーション（NeuralDrop: DNN-based Simulation of Small-Scale Liquid Flows on Solids）</news:title>
   <news:publication_date>2026-07-02T11:25:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707261</loc>
  <lastmod>2026-07-02T10:34:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時間周波数解析の確率モデルを統合する（Unifying Probabilistic Models for Time-Frequency Analysis）</news:title>
   <news:publication_date>2026-07-02T10:34:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707259</loc>
  <lastmod>2026-07-02T10:25:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>金（Au）とAIII–BV半導体の原子レベル相互作用の理解（Towards Understanding of Gold Interaction with AIII-BV Semiconductors at Atomic Level）</news:title>
   <news:publication_date>2026-07-02T10:25:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707257</loc>
  <lastmod>2026-07-02T10:24:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>概念学習をエネルギーで定義する新しい枠組み（Concept Learning with Energy-Based Models）</news:title>
   <news:publication_date>2026-07-02T10:24:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707255</loc>
  <lastmod>2026-07-02T10:23:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顔ランドマークを使った話者非依存の音声強調（FACE LANDMARK-BASED SPEAKER-INDEPENDENT AUDIO-VISUAL SPEECH ENHANCEMENT IN MULTI-TALKER ENVIRONMENTS）</news:title>
   <news:publication_date>2026-07-02T10:23:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707253</loc>
  <lastmod>2026-07-02T10:23:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>進化同期制約を用いた動画スタイル転送（Evolvement Constrained Adversarial Learning for Video Style Transfer）</news:title>
   <news:publication_date>2026-07-02T10:23:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707251</loc>
  <lastmod>2026-07-02T10:23:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リアルタイム情報を組み込んだグリーン・セキュリティゲームの深層強化学習（Deep Reinforcement Learning for Green Security Games with Real-Time Information）</news:title>
   <news:publication_date>2026-07-02T10:23:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707249</loc>
  <lastmod>2026-07-02T10:23:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時系列神経データの潜在非線形動態を可視化する手法（Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data）</news:title>
   <news:publication_date>2026-07-02T10:23:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707247</loc>
  <lastmod>2026-07-02T08:40:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>畳み込みニューラルネットワークにおけるシナプティック・ストレングスによる接続剪定（Synaptic Strength for CNN Pruning）</news:title>
   <news:publication_date>2026-07-02T08:40:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707245</loc>
  <lastmod>2026-07-02T08:40:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Semantic Term “Blurring” と Stochastic “Barcoding” による教師なしテキスト分類の改善（Semantic Term “Blurring” and Stochastic “Barcoding” for Improved Unsupervised Text Classification）</news:title>
   <news:publication_date>2026-07-02T08:40:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707243</loc>
  <lastmod>2026-07-02T08:39:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ボーカライズド・パーカッションの自動転写におけるユーザ適応（User Specific Adaptation in Automatic Transcription of Vocalised Percussion）</news:title>
   <news:publication_date>2026-07-02T08:39:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707241</loc>
  <lastmod>2026-07-02T08:39:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>統計教育における形成的・総括的評価のデジタル化（Towards digitalisation of summative and formative assessments in academic teaching of statistics）</news:title>
   <news:publication_date>2026-07-02T08:39:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707239</loc>
  <lastmod>2026-07-02T08:39:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepChannelによる抽出的文書要約の革新（DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization）</news:title>
   <news:publication_date>2026-07-02T08:39:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707237</loc>
  <lastmod>2026-07-02T08:39:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Point2Sequence: 3D点群の形状表現を学ぶ注意機構付きシーケンスモデル（Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network）</news:title>
   <news:publication_date>2026-07-02T08:39:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707235</loc>
  <lastmod>2026-07-02T08:38:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注釈なしで細かな服カテゴリ識別を実現する手法（Fine-grained Apparel Classification and Retrieval without rich annotations）</news:title>
   <news:publication_date>2026-07-02T08:38:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707233</loc>
  <lastmod>2026-07-02T07:47:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>共有潜在空間を持つオートエンコーダ群（Sets of autoencoders with shared latent spaces）</news:title>
   <news:publication_date>2026-07-02T07:47:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707231</loc>
  <lastmod>2026-07-02T07:37:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Bhattacharyya誤差上界に基づくロバスト線形判別分析（Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm）</news:title>
   <news:publication_date>2026-07-02T07:37:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707229</loc>
  <lastmod>2026-07-02T07:37:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>効果的なサブワード分割によるテキスト理解（Effective Subword Segmentation for Text Comprehension）</news:title>
   <news:publication_date>2026-07-02T07:37:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707227</loc>
  <lastmod>2026-07-02T07:36:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>強化学習に基づくMIMOマルチターゲット検出の波形最適化（Reinforcement learning-based waveform optimization for MIMO multi-target detection）</news:title>
   <news:publication_date>2026-07-02T07:36:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707225</loc>
  <lastmod>2026-07-02T07:36:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>有向グラフの埋め込みを可能にする対称化手法（Symmetrization for Embedding Directed Graphs）</news:title>
   <news:publication_date>2026-07-02T07:36:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707223</loc>
  <lastmod>2026-07-02T07:36:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マイクロ表情認識における微小注意機構の提案（Micro-Attention for Micro-Expression Recognition）</news:title>
   <news:publication_date>2026-07-02T07:36:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707221</loc>
  <lastmod>2026-07-02T07:35:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カルマンフィルタ修飾子によるニューラルネットワークの継続学習（Kalman Filter Modifier for Neural Networks in Non-stationary Environments）</news:title>
   <news:publication_date>2026-07-02T07:35:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707219</loc>
  <lastmod>2026-07-02T06:44:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低消費電力1T1Nスカーミオンシナプス（Low-Power (1T1N) Skyrmionic Synapses for Spiking Neuromorphic Systems）</news:title>
   <news:publication_date>2026-07-02T06:44:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707217</loc>
  <lastmod>2026-07-02T06:44:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>周波数領域で振幅にノイズを加えるEEGデータ拡張の効果（An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding）</news:title>
   <news:publication_date>2026-07-02T06:44:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707215</loc>
  <lastmod>2026-07-02T06:44:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>URLLCトラフィックに対するリスク感受性強化学習（Risk-Sensitive Reinforcement Learning for URLLC Traffic in Wireless Networks）</news:title>
   <news:publication_date>2026-07-02T06:44:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707213</loc>
  <lastmod>2026-07-02T06:43:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データと分類におけるアルゴリズム差別の探究（An exploration of algorithmic discrimination in data and classification）</news:title>
   <news:publication_date>2026-07-02T06:43:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707211</loc>
  <lastmod>2026-07-02T06:43:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Elastic CoCoAによる収束改善のスケーリング戦略（Elastic CoCoA: Scaling In to Improve Convergence）</news:title>
   <news:publication_date>2026-07-02T06:43:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707209</loc>
  <lastmod>2026-07-02T06:43:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意深い再帰的木を用いた文埋め込みの学習 (Learning to Embed Sentences Using Attentive Recursive Trees)</news:title>
   <news:publication_date>2026-07-02T06:43:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707207</loc>
  <lastmod>2026-07-02T06:42:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習による太陽風自動分類の実務的意義（Automatic classification of solar wind at 1 AU using machine learning）</news:title>
   <news:publication_date>2026-07-02T06:42:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707205</loc>
  <lastmod>2026-07-02T05:51:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>実体整合のための再帰的スキップネットワーク（Recurrent Skipping Networks for Entity Alignment）</news:title>
   <news:publication_date>2026-07-02T05:51:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707203</loc>
  <lastmod>2026-07-02T05:51:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層的ニューラルネットワークによるキーワードスポッティング（HIERARCHICAL NEURAL NETWORK ARCHITECTURE IN KEYWORD SPOTTING）</news:title>
   <news:publication_date>2026-07-02T05:51:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707201</loc>
  <lastmod>2026-07-02T05:51:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチビュー学習における視点選択のための積み上げ型ペナルティ付きロジスティック回帰（Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning）</news:title>
   <news:publication_date>2026-07-02T05:51:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707199</loc>
  <lastmod>2026-07-02T05:50:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>運転者行動と因果推論のための走行シーン理解データセット（Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning）</news:title>
   <news:publication_date>2026-07-02T05:50:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707197</loc>
  <lastmod>2026-07-02T05:50:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高次元クラスタリングとr-ネット（High Dimensional Clustering with r-nets）</news:title>
   <news:publication_date>2026-07-02T05:50:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707195</loc>
  <lastmod>2026-07-02T05:50:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>網膜受容野の微細構造を深層学習で明らかにする（Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks）</news:title>
   <news:publication_date>2026-07-02T05:50:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707193</loc>
  <lastmod>2026-07-02T05:49:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スパースノイズ下におけるグラフ信号予測のためのカーネル回帰（KERNEL REGRESSION FOR GRAPH SIGNAL PREDICTION IN PRESENCE OF SPARSE NOISE）</news:title>
   <news:publication_date>2026-07-02T05:49:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707191</loc>
  <lastmod>2026-07-02T04:58:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>欠測変数下の離散選択モデルとニューラルネットの比較（Comparison of Discrete Choice Models and Artificial Neural Networks in Presence of Missing Variables）</news:title>
   <news:publication_date>2026-07-02T04:58:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707189</loc>
  <lastmod>2026-07-02T04:58:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>汎用的なオフ・ザ・シェルフ無監督機械翻訳（Off-the-Shelf Unsupervised NMT）</news:title>
   <news:publication_date>2026-07-02T04:58:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707187</loc>
  <lastmod>2026-07-02T04:58:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超高速・多次元RFパルス設計を深層学習で実現する（Ultra-fast (milliseconds), multi-dimensional RF pulse design with deep learning）</news:title>
   <news:publication_date>2026-07-02T04:58:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707185</loc>
  <lastmod>2026-07-02T04:57:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子プロセッサ上で実装された人工ニューロン（An Artificial Neuron Implemented on an Actual Quantum Processor）</news:title>
   <news:publication_date>2026-07-02T04:57:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707183</loc>
  <lastmod>2026-07-02T04:57:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少数ピクセルで誤認識を誘発する攻撃手法（SparseFool: Sparse Adversarial Attacks）</news:title>
   <news:publication_date>2026-07-02T04:57:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707181</loc>
  <lastmod>2026-07-02T04:57:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>銀河面で発見された不規則減光天体の解析（VVV-WIT-07: another Boyajian’s star or a Mamajek’s object?）</news:title>
   <news:publication_date>2026-07-02T04:57:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707179</loc>
  <lastmod>2026-07-02T04:56:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚タスクにおけるセマンティックボトルネック（Semantic bottleneck for computer vision tasks）</news:title>
   <news:publication_date>2026-07-02T04:56:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707177</loc>
  <lastmod>2026-07-02T04:06:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>点情報だけで学ぶシーン解析の新展開（Weakly Supervised Scene Parsing with Point-based Distance Metric Learning）</news:title>
   <news:publication_date>2026-07-02T04:06:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707175</loc>
  <lastmod>2026-07-02T04:05:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>直交多様体上の準ニュートン法による変換学習付きNMF (A Quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning)</news:title>
   <news:publication_date>2026-07-02T04:05:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707173</loc>
  <lastmod>2026-07-02T04:05:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二重双対埋め込みによるカーネル指数族推定 (Kernel Exponential Family Estimation via Doubly Dual Embedding)</news:title>
   <news:publication_date>2026-07-02T04:05:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707171</loc>
  <lastmod>2026-07-02T04:04:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>安定性を考慮した協調フィルタリング（Collaborative Filtering with Stability）</news:title>
   <news:publication_date>2026-07-02T04:04:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707169</loc>
  <lastmod>2026-07-02T04:04:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DSNet: 深層と浅層の特徴を同一解像度で学習し効率的な映像追跡を実現する（DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking）</news:title>
   <news:publication_date>2026-07-02T04:04:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707167</loc>
  <lastmod>2026-07-02T04:04:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Rで使えるコンテキスト対応バンディットの実践的評価環境（contextual: Evaluating Contextual Multi-Armed Bandit Problems in R）</news:title>
   <news:publication_date>2026-07-02T04:04:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707165</loc>
  <lastmod>2026-07-02T04:03:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CarePre：臨床意思決定支援の革新（CarePre: An Intelligent Clinical Decision Assistance System）</news:title>
   <news:publication_date>2026-07-02T04:03:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707163</loc>
  <lastmod>2026-07-02T03:12:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>極端姿勢における実世界顔表情認識（In-the-wild Facial Expression Recognition in Extreme Poses）</news:title>
   <news:publication_date>2026-07-02T03:12:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707161</loc>
  <lastmod>2026-07-02T03:12:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クレジットカード不正検知を「良い振る舞い」から見つける（Credit Card Fraud Detection in e-Commerce: An Outlier Detection Approach）</news:title>
   <news:publication_date>2026-07-02T03:12:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707159</loc>
  <lastmod>2026-07-02T03:11:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声認識向けの非対応音声強調：音響的監督と敵対的監督（Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition）</news:title>
   <news:publication_date>2026-07-02T03:11:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707157</loc>
  <lastmod>2026-07-02T03:11:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D点群分類へのカプセル拡張（3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds）</news:title>
   <news:publication_date>2026-07-02T03:11:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707155</loc>
  <lastmod>2026-07-02T03:11:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>適応型ストレステスト（Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-02T03:11:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707153</loc>
  <lastmod>2026-07-02T03:11:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速なOBDD再配置を実現するハイパーグラフ上のニューラルメッセージパッシング（Fast OBDD Reordering using Neural Message Passing on Hypergraph）</news:title>
   <news:publication_date>2026-07-02T03:11:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707151</loc>
  <lastmod>2026-07-02T03:10:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンポリシー模倣学習における動的後悔解析と適応正則化（Dynamic Regret Convergence Analysis and an Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning）</news:title>
   <news:publication_date>2026-07-02T03:10:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707149</loc>
  <lastmod>2026-07-02T02:19:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>句から句へのニューラル機械翻訳の提案（Neural Phrase-to-Phrase Machine Translation）</news:title>
   <news:publication_date>2026-07-02T02:19:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707147</loc>
  <lastmod>2026-07-02T02:19:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アルゴリズムの透明性がもたらす両極化効果（&amp;quot;I had a solid theory before but it&amp;#039;s falling apart&amp;quot;: Polarizing Effects of Algorithmic Transparency）</news:title>
   <news:publication_date>2026-07-02T02:19:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707145</loc>
  <lastmod>2026-07-02T02:19:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パターン自動診断でノイズを削ぐ——DIAG-NREが変えた関係抽出の現場（DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction）</news:title>
   <news:publication_date>2026-07-02T02:19:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707143</loc>
  <lastmod>2026-07-02T02:18:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像ベースで熱伝達設計を変える：ReConNNによる3D-PFHSの再構築（Image-based Reconstruction for a 3D-PFHS Heat Transfer Problem by ReConNN）</news:title>
   <news:publication_date>2026-07-02T02:18:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707141</loc>
  <lastmod>2026-07-02T02:18:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>神経新生が壊滅的忘却を克服する役割（On the role of neurogenesis in overcoming catastrophic forgetting）</news:title>
   <news:publication_date>2026-07-02T02:18:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707139</loc>
  <lastmod>2026-07-02T02:17:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>メモリ制御による言語モデル統合が切り拓く音声認識の新潮流（Language Model Integration Based on Memory Control for Sequence to Sequence Speech Recognition）</news:title>
   <news:publication_date>2026-07-02T02:17:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707137</loc>
  <lastmod>2026-07-02T02:17:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフの一貫した順位付けに必要なペアワイズ比較数（How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?）</news:title>
   <news:publication_date>2026-07-02T02:17:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707135</loc>
  <lastmod>2026-07-02T01:25:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>尺度校正に基づく高次元ロバスト回帰（Scale calibration for high-dimensional robust regression）</news:title>
   <news:publication_date>2026-07-02T01:25:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707133</loc>
  <lastmod>2026-07-02T01:25:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己改良型対称性強化ネットワークによる降雨除去（SELF-REFINING DEEP SYMMETRY ENHANCED NETWORK FOR RAIN REMOVAL）</news:title>
   <news:publication_date>2026-07-02T01:25:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707131</loc>
  <lastmod>2026-07-02T01:25:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>過学習的（オーバーパラメータ化）学習におけるSGDの指数収束性（On exponential convergence of SGD in non-convex over-parametrized learning）</news:title>
   <news:publication_date>2026-07-02T01:25:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707129</loc>
  <lastmod>2026-07-02T01:24:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モチーフとハイパーグラフの相関クラスタリング（Motif and Hypergraph Correlation Clustering）</news:title>
   <news:publication_date>2026-07-02T01:24:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707127</loc>
  <lastmod>2026-07-02T01:24:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>12誘導心電図を双方向LSTMで分類する意義（Classification of 12-Lead ECG Signals with Bi-directional LSTM Network）</news:title>
   <news:publication_date>2026-07-02T01:24:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707125</loc>
  <lastmod>2026-07-02T01:24:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>シンプルで分散化された高速化確率的プログラミング（Simple, Distributed, and Accelerated Probabilistic Programming）</news:title>
   <news:publication_date>2026-07-02T01:24:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707123</loc>
  <lastmod>2026-07-02T01:23:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カーネル機械はマスクベース単一チャンネル音声強調でDNNを上回る（KERNEL MACHINES BEAT DEEP NEURAL NETWORKS ON MASK-BASED SINGLE-CHANNEL SPEECH ENHANCEMENT）</news:title>
   <news:publication_date>2026-07-02T01:23:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707121</loc>
  <lastmod>2026-07-02T00:32:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>段落レベルの粗い注釈から短答式QAを強化する（Improving Span-based Question Answering Systems with Coarsely Labeled Data）</news:title>
   <news:publication_date>2026-07-02T00:32:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707119</loc>
  <lastmod>2026-07-02T00:32:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Mesh-TensorFlowによるスーパーコンピュータ向け深層学習（Mesh-TensorFlow: Deep Learning for Supercomputers）</news:title>
   <news:publication_date>2026-07-02T00:32:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707117</loc>
  <lastmod>2026-07-02T00:31:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>仮想と実データを組み合わせた教師なし人物再識別の実用性（Leveraging Virtual and Real Person for Unsupervised Person Re-identification）</news:title>
   <news:publication_date>2026-07-02T00:31:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707115</loc>
  <lastmod>2026-07-02T00:31:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サンプル圧縮とサポートベクターによる深層学習の一般化（Sample Compression, Support Vectors, and Generalization in Deep Learning）</news:title>
   <news:publication_date>2026-07-02T00:31:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707113</loc>
  <lastmod>2026-07-02T00:31:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CTC学習と音響ランドマークの出会い（When CTC Training Meets Acoustic Landmarks）</news:title>
   <news:publication_date>2026-07-02T00:31:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707111</loc>
  <lastmod>2026-07-02T00:31:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分位点オプションアーキテクチャによる強化学習の探索改善（The Quantile Option Architecture for Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-02T00:31:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707109</loc>
  <lastmod>2026-07-02T00:30:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>汎用ツールキットでのスピーカー埋め込み改善法（HOW TO IMPROVE YOUR SPEAKER EMBEDDINGS EXTRACTOR IN GENERIC TOOLKITS）</news:title>
   <news:publication_date>2026-07-02T00:30:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707107</loc>
  <lastmod>2026-07-01T23:39:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多関係データのための再帰的グラフニューラルネットワーク（A Recurrent Graph Neural Network for Multi-Relational Data）</news:title>
   <news:publication_date>2026-07-01T23:39:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707105</loc>
  <lastmod>2026-07-01T23:39:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>能動学習とモデル抽出の接点：クラウド上のモデルをどう守るか（Exploring Connections Between Active Learning and Model Extraction）</news:title>
   <news:publication_date>2026-07-01T23:39:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707103</loc>
  <lastmod>2026-07-01T23:39:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模状態・行動空間を持つ工学システムの管理（Managing engineering systems with large state and action spaces through deep reinforcement learning）</news:title>
   <news:publication_date>2026-07-01T23:39:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707101</loc>
  <lastmod>2026-07-01T23:38:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>弱い監督データを活用したEnd–to–End音声翻訳の改善（LEVERAGING WEAKLY SUPERVISED DATA TO IMPROVE END-TO-END SPEECH-TO-TEXT TRANSLATION）</news:title>
   <news:publication_date>2026-07-01T23:38:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707099</loc>
  <lastmod>2026-07-01T23:38:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>同変性を備えた畳み込みニューラルネットワークの一般理論（A General Theory of Equivariant CNNs on Homogeneous Spaces）</news:title>
   <news:publication_date>2026-07-01T23:38:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707097</loc>
  <lastmod>2026-07-01T23:38:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>胚性マウスの3D超音波における脳室自動局所化とセグメンテーション（DEEP BV: A FULLY AUTOMATED SYSTEM FOR BRAIN VENTRICLE LOCALIZATION AND SEGMENTATION IN 3D ULTRASOUND IMAGES OF EMBRYONIC MICE）</news:title>
   <news:publication_date>2026-07-01T23:38:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707095</loc>
  <lastmod>2026-07-01T23:37:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率微分方程式のための物理情報実装型生成対抗ネットワーク（Physics-Informed Generative Adversarial Networks for Stochastic Differential Equations）</news:title>
   <news:publication_date>2026-07-01T23:37:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707093</loc>
  <lastmod>2026-07-01T22:46:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラル機械翻訳のためのコンパクトな個人化モデル（Compact Personalized Models for Neural Machine Translation）</news:title>
   <news:publication_date>2026-07-01T22:46:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707091</loc>
  <lastmod>2026-07-01T22:45:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習済みニューラルネットワークの強力な混合整数計画定式化 (Strong mixed-integer programming formulations for trained neural networks)</news:title>
   <news:publication_date>2026-07-01T22:45:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707089</loc>
  <lastmod>2026-07-01T22:45:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重荷物のような粒子を正しく数える—SACOT-mT法がもたらした変化（Heavy flavour production in the SACOT-mT scheme）</news:title>
   <news:publication_date>2026-07-01T22:45:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707087</loc>
  <lastmod>2026-07-01T22:44:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキスト分類データセットの難易度を速やかに評価する方法（Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks）</news:title>
   <news:publication_date>2026-07-01T22:44:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707085</loc>
  <lastmod>2026-07-01T22:44:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>路面管理における工事位置座標の統合（Integrating Project Spatial Coordinates into Pavement Management Prioritization）</news:title>
   <news:publication_date>2026-07-01T22:44:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707083</loc>
  <lastmod>2026-07-01T22:44:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>強相関電子系の分子動力学に機械学習を適用する方法（Machine learning for molecular dynamics with strongly correlated electrons）</news:title>
   <news:publication_date>2026-07-01T22:44:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707081</loc>
  <lastmod>2026-07-01T22:44:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低光度クエasarの紫外ルミノシティ関数と宇宙再電離への寄与（SUBARU HIGH-Z EXPLORATION OF LOW-LUMINOSITY QUASARS (SHELLQS). V. QUASAR LUMINOSITY FUNCTION AND CONTRIBUTION TO COSMIC REIONIZATION AT Z = 6）</news:title>
   <news:publication_date>2026-07-01T22:44:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707079</loc>
  <lastmod>2026-07-01T21:52:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>暗黙フィードバック向け高速非ベイズ的ポアソン因子分解（Fast Non-Bayesian Poisson Factorization for Implicit-Feedback Recommendations）</news:title>
   <news:publication_date>2026-07-01T21:52:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707077</loc>
  <lastmod>2026-07-01T21:52:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DNNの重み剪定とクラスタリング/量子化の統一フレームワーク（A Unified Framework of DNN Weight Pruning and Weight Clustering/Quantization Using ADMM）</news:title>
   <news:publication_date>2026-07-01T21:52:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707075</loc>
  <lastmod>2026-07-01T21:51:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>協調的ドメイン知識から導くアイテム特徴の重要度（Deriving item features relevance from collaborative domain knowledge）</news:title>
   <news:publication_date>2026-07-01T21:51:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707073</loc>
  <lastmod>2026-07-01T21:51:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>頑健で高精度な量子制御の学習（Learning Robust and High-Precision Quantum Controls）</news:title>
   <news:publication_date>2026-07-01T21:51:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707071</loc>
  <lastmod>2026-07-01T21:51:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>並列化しても凸最適化は速くならないという下限証明（Lower Bounds for Parallel and Randomized Convex Optimization）</news:title>
   <news:publication_date>2026-07-01T21:51:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707069</loc>
  <lastmod>2026-07-01T21:50:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二層整流ニューラルネットワークを多項式時間で学習する方法（Learning Two Layer Rectified Neural Networks in Polynomial Time）</news:title>
   <news:publication_date>2026-07-01T21:50:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707067</loc>
  <lastmod>2026-07-01T21:50:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>可変長入力に対する順序不変関数の学習（JANOSSY POOLING: LEARNING DEEP PERMUTATION-INVARIANT FUNCTIONS FOR VARIABLE-SIZE INPUTS）</news:title>
   <news:publication_date>2026-07-01T21:50:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707065</loc>
  <lastmod>2026-07-01T20:59:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>楽器ラベルで条件付けしたエンドツーエンド音源分離（END-TO-END SOUND SOURCE SEPARATION CONDITIONED ON INSTRUMENT LABELS）</news:title>
   <news:publication_date>2026-07-01T20:59:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707063</loc>
  <lastmod>2026-07-01T20:59:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RNNは人間の語順嗜好を学ぶか（Do RNNs learn human-like abstract word order preferences?）</news:title>
   <news:publication_date>2026-07-01T20:59:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707061</loc>
  <lastmod>2026-07-01T20:58:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Plan Online, Learn Offline: 効率的な学習と探索を両立するモデルベース制御（Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control）</news:title>
   <news:publication_date>2026-07-01T20:58:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707059</loc>
  <lastmod>2026-07-01T20:57:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Verisig: ハイブリッドシステムとニューラルネットワーク制御の安全性検証（Verisig: verifying safety properties of hybrid systems with neural network controllers）</news:title>
   <news:publication_date>2026-07-01T20:57:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707057</loc>
  <lastmod>2026-07-01T20:57:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>TzK Flowによる条件付き生成モデル（TzK Flow - Conditional Generative Model）</news:title>
   <news:publication_date>2026-07-01T20:57:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707055</loc>
  <lastmod>2026-07-01T20:57:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多層リレーションネットワークによる深い関係推論の拡張（Multi-layer Relation Networks）</news:title>
   <news:publication_date>2026-07-01T20:57:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707053</loc>
  <lastmod>2026-07-01T20:56:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>短期需要予測における強化学習ベースの動的モデル選択（Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting）</news:title>
   <news:publication_date>2026-07-01T20:56:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707051</loc>
  <lastmod>2026-07-01T20:05:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>構造化ニューラル要約（STRUCTURED NEURAL SUMMARIZATION）</news:title>
   <news:publication_date>2026-07-01T20:05:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707049</loc>
  <lastmod>2026-07-01T20:05:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D対流シミュレーションに基づく低温星の半径較正（IMPROVED CALIBRATION OF THE RADII OF COOL STARS BASED ON 3D SIMULATIONS OF CONVECTION: IMPLICATIONS FOR THE SOLAR MODEL）</news:title>
   <news:publication_date>2026-07-01T20:05:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707047</loc>
  <lastmod>2026-07-01T20:04:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンラインAPI呼び出しに対する厳格なレート制限下での能動的深層学習攻撃（Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls）</news:title>
   <news:publication_date>2026-07-01T20:04:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707045</loc>
  <lastmod>2026-07-01T20:04:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>常識推論ベンチマークの妥当性検証（How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG）</news:title>
   <news:publication_date>2026-07-01T20:04:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707043</loc>
  <lastmod>2026-07-01T20:03:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチレベルセンサーフュージョンと深層学習（Multi-Level Sensor Fusion with Deep Learning）</news:title>
   <news:publication_date>2026-07-01T20:03:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707041</loc>
  <lastmod>2026-07-01T20:03:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Heavy‑ballアルゴリズムの非エルゴード収束解析（Non-ergodic Convergence Analysis of Heavy-Ball Algorithms）</news:title>
   <news:publication_date>2026-07-01T20:03:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707039</loc>
  <lastmod>2026-07-01T20:03:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈依存の検査バイアス推定のための介入ハーベスティング（Intervention Harvesting for Context-Dependent Examination-Bias Estimation）</news:title>
   <news:publication_date>2026-07-01T20:03:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707037</loc>
  <lastmod>2026-07-01T19:12:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生物学的にもっともらしい学習則による脳のディープラーニング（A Biologically Plausible Learning Rule for Deep Learning in the Brain）</news:title>
   <news:publication_date>2026-07-01T19:12:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707035</loc>
  <lastmod>2026-07-01T19:11:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダム射影を用いたカーネル共役勾配法（Kernel Conjugate Gradient Methods with Random Projections）</news:title>
   <news:publication_date>2026-07-01T19:11:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707033</loc>
  <lastmod>2026-07-01T19:11:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヒト脳活動から一般的視覚表現を復元する（Decoding Generic Visual Representations From Human Brain Activity）</news:title>
   <news:publication_date>2026-07-01T19:11:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707031</loc>
  <lastmod>2026-07-01T19:10:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>報酬付きマルチアームバンディット（Multi-armed Bandits with Compensation）</news:title>
   <news:publication_date>2026-07-01T19:10:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707029</loc>
  <lastmod>2026-07-01T19:10:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>隠れ層におけるクラス分離度の定量化—どれだけ深ければ十分か？(How deep is deep enough ? Quantifying class separability in the hidden layers of deep neural networks)</news:title>
   <news:publication_date>2026-07-01T19:10:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707027</loc>
  <lastmod>2026-07-01T19:10:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>共有される力学を学ぶメタワールドモデル（Learning Shared Dynamics with Meta-World Models）</news:title>
   <news:publication_date>2026-07-01T19:10:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707025</loc>
  <lastmod>2026-07-01T19:09:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>FUNNによる教師なし学習の頑健化（FUNN: Flexible Unsupervised Neural Network）</news:title>
   <news:publication_date>2026-07-01T19:09:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707023</loc>
  <lastmod>2026-07-01T18:17:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層ネットワークの量子化を強化学習で最適化する方法（ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks）</news:title>
   <news:publication_date>2026-07-01T18:17:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707021</loc>
  <lastmod>2026-07-01T18:17:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サブゴールグラフと強化学習を組み合わせた合理的な経路探索（Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder）</news:title>
   <news:publication_date>2026-07-01T18:17:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707019</loc>
  <lastmod>2026-07-01T18:17:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意識と普遍的文脈がニューロン応答を変える（Role of Awareness and Universal Context in a Spiking Conscious Neural Network）</news:title>
   <news:publication_date>2026-07-01T18:17:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707017</loc>
  <lastmod>2026-07-01T18:16:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>WASPを拡張する外部インターフェース（The External Interface for Extending WASP）</news:title>
   <news:publication_date>2026-07-01T18:16:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707015</loc>
  <lastmod>2026-07-01T18:16:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>暗黙的談話関係の明示化を学習するSeq2Seqモデル（Learning to Explicitate Connectives with Seq2Seq Network for Implicit Discourse Relation Classification）</news:title>
   <news:publication_date>2026-07-01T18:16:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707013</loc>
  <lastmod>2026-07-01T18:15:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GEMRankによる協調フィルタリングの新展開（GEMRank: Global Entity Embedding For Collaborative Filtering）</news:title>
   <news:publication_date>2026-07-01T18:15:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707011</loc>
  <lastmod>2026-07-01T18:15:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-07-01T17:23:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>CNNベース画像鑑識における敵対的事例の転移可能性（ON THE TRANSFERABILITY OF ADVERSARIAL EXAMPLES AGAINST CNN-BASED IMAGE FORENSICS）</news:title>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>ランダムラベル記憶を利用した教師なし事前学習（Leveraging Random Label Memorization for Unsupervised Pre-Training）</news:title>
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   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/706999</loc>
  <lastmod>2026-07-01T17:22:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-07-01T17:22:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/706997</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>リアルタイム運転者眠気検知とモバイル実装（Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques）</news:title>
   <news:publication_date>2026-07-01T17:21:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/706995</loc>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-07-01T16:29:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/706991</loc>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-07-01T16:29:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/706989</loc>
  <lastmod>2026-07-01T16:28:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-07-01T16:28:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/706987</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/706979</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/706977</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/706973</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/706971</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/706969</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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