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   <news:title>エルゴード推論が開く並列化の扉（The Theory and Algorithm of Ergodic Inference）</news:title>
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   <news:title>分布値データに対するBatch Self Organizing Mapと変数・成分の自動重み付け（Batch Self Organizing maps for distributional data with automatic weighting of variables and components）</news:title>
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   <news:title>視覚だけで触覚を推定する研究（Sequential Image-based Attention Network for Inferring Force Estimation without Haptic Sensor）</news:title>
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   <news:title>スタッキング型深層解析ネットワークの実務的理解（Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification）</news:title>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>質量分析からの化学構造同定を部分構造で解く（Chemical Structure Elucidation from Mass Spectrometry by Matching Substructures）</news:title>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>動的グラフにおけるリンク予測によるレコメンデーションの改良（Link Prediction in Dynamic Graphs for Recommendation）</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>注意機構を用いたWi‑Fiネットワークにおける歩行動作と方向の認識（Attention-based Walking Gait and Direction Recognition in Wi‑Fi Networks）</news:title>
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   <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>人の識別と体格指数（Person Identification and Body Mass Index: A Deep Learning-Based Study on Micro-Dopplers）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>因果的な3D CNNのための再帰畳み込み（Recurrent Convolutions for Causal 3D CNNs）</news:title>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>単調性分類の総覧（Monotonic classification: an overview on algorithms, performance measures and data sets）</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>限定的楽観が後悔を減らす——割引和ゲームにおける最小後悔のアルゴリズム（The Impatient May Use Limited Optimism to Minimize Regret）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-06T15:32:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>キャッシュ占有チャネルによる堅牢なウェブサイト識別（Robust Website Fingerprinting Through the Cache Occupancy Channel）</news:title>
   <news:publication_date>2026-07-06T15:32:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/708799</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>高精度タンパク質二次構造Q8予測（High Quality Protein Q8 Secondary Structure Prediction）</news:title>
   <news:publication_date>2026-07-06T14:41:22Z</news:publication_date>
   <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>タンパク質可溶性予測に向けたDNNと条件付きWGANの統合（Deep learning framework DNN with conditional WGAN for protein solubility prediction）</news:title>
   <news:publication_date>2026-07-06T14:40:56Z</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>電力系統データストリームから学ぶフェーザ探偵法（Learning from power system data stream: phasor-detective approach）</news:title>
   <news:publication_date>2026-07-06T14:40:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-06T14:39:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>信号・雑音統計を要さない高SNR一貫性圧縮センシング（High SNR Consistent Compressive Sensing Without Signal and Noise Statistics）</news:title>
   <news:publication_date>2026-07-06T14:39:49Z</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:title>時空間関節関係の明示的学習による姿勢追跡（Explicit Spatiotemporal Joint Relation Learning for Tracking Human Pose）</news:title>
   <news:publication_date>2026-07-06T14:39:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-06T14:39:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>階層を活かす深層分類器の知識統合（Integrating Domain Knowledge: Using Hierarchies to Improve Deep Classifiers）</news:title>
   <news:publication_date>2026-07-06T14:39:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/708787</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>Batch DropBlock による人物再識別の改良（Batch DropBlock Network for Person Re-identification and Beyond）</news:title>
   <news:publication_date>2026-07-06T14:38:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/708785</loc>
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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>視覚類似性と語義類似性の関係を再考する（Not just a matter of semantics: the relationship between visual and semantic similarity）</news:title>
   <news:publication_date>2026-07-06T13:47:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
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   <news:title>TFT型NORフラッシュを用いたSTDPによる複数出力ニューロンの教師なしオンライン学習（Unsupervised Online Learning With Multiple Postsynaptic Neurons Based on Spike-Timing-Dependent Plasticity Using a TFT-Type NOR Flash Memory Array）</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>拡張LiDARシミュレータによる自動運転データ拡張（Augmented LiDAR Simulator for Autonomous Driving）</news:title>
   <news:publication_date>2026-07-06T13:46:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/708779</loc>
  <lastmod>2026-07-06T13:45:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>パーシステンスランドスケープの非パラメトリック混合モデルと重要点抽出（Finite Mixture Model of Nonparametric Density Estimation using Sampling Importance Resampling for Persistence Landscape）</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>無線ネットワークの混合整数資源割当問題に対する転移学習（Transfer Learning for Mixed-Integer Resource Allocation Problems in Wireless Networks）</news:title>
   <news:publication_date>2026-07-06T13:45:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-06T13:45:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>DNNの堅牢性検証を加速する「弱点発見ブースティング」手法（Boosting the Robustness Verification of DNN by Identifying the Achilles’s Heel）</news:title>
   <news:publication_date>2026-07-06T13:45:34Z</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>
   </news:publication>
   <news:title>ホログラフィーに明視野コントラストをもたらすクロスモダリティ深層学習（Cross-modality deep learning brings bright-field microscopy contrast to holography）</news:title>
   <news:publication_date>2026-07-06T13:45:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/708771</loc>
  <lastmod>2026-07-06T12:53:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RelationNet2による深層比較列で進化する少数ショット学習（RelationNet2: Deep Comparison Columns for Few-Shot Learning）</news:title>
   <news:publication_date>2026-07-06T12:53:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/708769</loc>
  <lastmod>2026-07-06T12:53:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>乱流スカラー混合の深層学習によるモデル発見（Deep Learning of Turbulent Scalar Mixing）</news:title>
   <news:publication_date>2026-07-06T12:53:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-06T12:52:49Z</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ヘッセ行列スペクトル全体像（The Full Spectrum of Deepnet Hessians at Scale: Dynamics with SGD Training and Sample Size）</news:title>
   <news:publication_date>2026-07-06T12:52:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/708765</loc>
  <lastmod>2026-07-06T12:52:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチオミクス統合による相乗効果薬剤組合せ予測（Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models）</news:title>
   <news:publication_date>2026-07-06T12:52:25Z</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:title>関係型LSTMによる動画行動認識（Relational Long Short-Term Memory for Video Action Recognition）</news:title>
   <news:publication_date>2026-07-06T12:52:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-06T12:52:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドメイン適応型トランスファー学習と専門家モデル（Domain Adaptive Transfer Learning with Specialist Models）</news:title>
   <news:publication_date>2026-07-06T12:52:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
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  <lastmod>2026-07-06T12:51:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対称性を制約に組み込む機械学習（Symmetry constrained machine learning）</news:title>
   <news:publication_date>2026-07-06T12:51:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/708757</loc>
  <lastmod>2026-07-06T12:00:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エンティティ同義語集合の効率的発見（Mining Entity Synonyms with Efficient Neural Set Generation）</news:title>
   <news:publication_date>2026-07-06T12:00:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708755</loc>
  <lastmod>2026-07-06T12:00:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ガウス過程で加速するFeldman–Cousins法（Gaussian Process Accelerated Feldman-Cousins Approach for Physical Parameter Inference）</news:title>
   <news:publication_date>2026-07-06T12:00:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708753</loc>
  <lastmod>2026-07-06T11:59:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>事実抽出と検証を統合するニューラル意味マッチングネットワーク（Combining Fact Extraction and Verification with Neural Semantic Matching Networks）</news:title>
   <news:publication_date>2026-07-06T11:59:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708751</loc>
  <lastmod>2026-07-06T11:59:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>IoTによる環境・健康モニタリングの信頼管理スキーム（A Trust Management Scheme for IoT-Enabled Environmental Health/Accessibility Monitoring Services）</news:title>
   <news:publication_date>2026-07-06T11:59:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708749</loc>
  <lastmod>2026-07-06T11:59:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リカレントニューラルネットワークの生涯学習への挑戦（Towards Training Recurrent Neural Networks for Lifelong Learning）</news:title>
   <news:publication_date>2026-07-06T11:59:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708747</loc>
  <lastmod>2026-07-06T11:59:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GD-1 ストリームの前駆天体探索（Searching for the GD-1 Stream Progenitor in Gaia DR2 with Direct N-body Simulations）</news:title>
   <news:publication_date>2026-07-06T11:59:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708745</loc>
  <lastmod>2026-07-06T11:58:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モノセロスR2の密集コア調査（Early science with the Large Millimetre Telescope: An LMT/AzTEC 1.1 mm Survey of Dense Cores in the Monoceros R2 Giant Molecular Cloud）</news:title>
   <news:publication_date>2026-07-06T11:58:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708743</loc>
  <lastmod>2026-07-06T11:07:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重み空間の病理を避ける投影ベイズニューラルネットワーク（Projected Bayesian Neural Networks: Avoiding weight-space pathologies by learning latent representations of neural network weights）</news:title>
   <news:publication_date>2026-07-06T11:07:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708741</loc>
  <lastmod>2026-07-06T11:07:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>座位から立ち上がる動作のロバスト制御（Robust Control of the Sit-to-Stand Movement for a Powered Lower Limb Orthosis）</news:title>
   <news:publication_date>2026-07-06T11:07:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708739</loc>
  <lastmod>2026-07-06T11:06:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>継続学習の未解決課題を整理する（The Barbados 2018 List of Open Issues in Continual Learning）</news:title>
   <news:publication_date>2026-07-06T11:06:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708737</loc>
  <lastmod>2026-07-06T11:06:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>基板部品検出のためのデータ効率的グラフ埋め込み学習（Data-Efficient Graph Embedding Learning for PCB Component Detection）</news:title>
   <news:publication_date>2026-07-06T11:06:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708735</loc>
  <lastmod>2026-07-06T11:06:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超新星インポスターの後期観測（Deep Late-Time Observations of the Supernova Impostors SN 1954J and SN 1961V）</news:title>
   <news:publication_date>2026-07-06T11:06:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708733</loc>
  <lastmod>2026-07-06T11:06:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>傾斜した光学超格子におけるボース粒子の共鳴的二サイトトンネリングダイナミクス（Resonant two-site tunnelling dynamics of bosons in a tilted optical superlattice）</news:title>
   <news:publication_date>2026-07-06T11:06:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708731</loc>
  <lastmod>2026-07-06T11:05:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像分類のスーパーコンピュータ規模での学習（Image Classification at Supercomputer Scale）</news:title>
   <news:publication_date>2026-07-06T11:05:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708729</loc>
  <lastmod>2026-07-06T10:14:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時間的グラウンディンググラフによる言語理解と蓄積された視覚言語文脈（Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context）</news:title>
   <news:publication_date>2026-07-06T10:14:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708727</loc>
  <lastmod>2026-07-06T10:14:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DARCCC：カプセル再構成による敵対的入力の検出（DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules）</news:title>
   <news:publication_date>2026-07-06T10:14:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708725</loc>
  <lastmod>2026-07-06T10:13:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GPipeによる大規模モデルの効率的な分散学習（GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism）</news:title>
   <news:publication_date>2026-07-06T10:13:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708723</loc>
  <lastmod>2026-07-06T10:13:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>光回折断層撮像におけるコヒーレントノイズ低減の深層学習アプローチ（Deep Learning Approach to Coherent Noise Reduction in Optical Diffraction Tomography）</news:title>
   <news:publication_date>2026-07-06T10:13:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708721</loc>
  <lastmod>2026-07-06T10:13:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Grasp2Vec：自律的把持から学ぶ物体表現（Grasp2Vec: Learning Object Representations from Self-Supervised Grasping）</news:title>
   <news:publication_date>2026-07-06T10:13:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708719</loc>
  <lastmod>2026-07-06T10:13:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モード変動に強いLSTM：見えない変動に耐える時系列特徴の符号化（Mode Variational LSTM Robust to Unseen Modes of Variation: Application to Facial Expression Recognition）</news:title>
   <news:publication_date>2026-07-06T10:13:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708717</loc>
  <lastmod>2026-07-06T10:12:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習型ビデオ圧縮の衝撃（Learned Video Compression）</news:title>
   <news:publication_date>2026-07-06T10:12:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708715</loc>
  <lastmod>2026-07-06T09:22:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超グラフ確率的ブロックモデルにおける完全復元（EXACT RECOVERY IN THE HYPERGRAPH STOCHASTIC BLOCK MODEL: A SPECTRAL ALGORITHM）</news:title>
   <news:publication_date>2026-07-06T09:22:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708713</loc>
  <lastmod>2026-07-06T09:21:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフデータの事前学習でGNNを強化する（Pre-training Graph Neural Networks with Kernels）</news:title>
   <news:publication_date>2026-07-06T09:21:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708711</loc>
  <lastmod>2026-07-06T09:21:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルコヴィッツポートフォリオ選択におけるベイズ学習（Bayesian learning for the Markowitz portfolio selection problem）</news:title>
   <news:publication_date>2026-07-06T09:21:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708709</loc>
  <lastmod>2026-07-06T09:20:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>回転不変で汎用的な低次元3D点群記述子の実現（The Perfect Match: 3D Point Cloud Matching with Smoothed Densities）</news:title>
   <news:publication_date>2026-07-06T09:20:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708707</loc>
  <lastmod>2026-07-06T09:20:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特権情報を用いる回帰と分類のための一般化メタ損失関数 (A Generalized Meta-loss function for regression and classification using privileged information)</news:title>
   <news:publication_date>2026-07-06T09:20:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708705</loc>
  <lastmod>2026-07-06T09:20:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ゴール駆動ナビゲーションにおける探索の複雑性（On the Complexity of Exploration in Goal-Driven Navigation）</news:title>
   <news:publication_date>2026-07-06T09:20:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708703</loc>
  <lastmod>2026-07-06T09:20:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>次元削減が回帰木ベースの荷重予測に与える影響（A case study : Influence of dimension reduction on regression trees-based algorithms - Predicting aeronautics loads of a derivative aircraft）</news:title>
   <news:publication_date>2026-07-06T09:20:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708701</loc>
  <lastmod>2026-07-06T08:29:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>残差畳み込みニューラルネットワークの再検討（Residual Convolutional Neural Network Revisited with Active Weighted Mapping）</news:title>
   <news:publication_date>2026-07-06T08:29:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708699</loc>
  <lastmod>2026-07-06T08:28:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>IoTカメラ向けコスト意識細粒度認識（Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations）</news:title>
   <news:publication_date>2026-07-06T08:28:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708697</loc>
  <lastmod>2026-07-06T08:28:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像補完による異常検知の実務的解説（Anomaly Detection using Deep Learning based Image Completion）</news:title>
   <news:publication_date>2026-07-06T08:28:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708695</loc>
  <lastmod>2026-07-06T08:27:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>U-net内で時間・周波数軸に再帰性を組み込む音声強調手法（USING RECURRENCES IN TIME AND FREQUENCY WITHIN U-NET ARCHITECTURE FOR SPEECH ENHANCEMENT）</news:title>
   <news:publication_date>2026-07-06T08:27:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708693</loc>
  <lastmod>2026-07-06T08:27:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サリエンシー監視による痛み強度回帰の直感的かつ有効な手法（Saliency Supervision: An intuitive and effective approach for pain intensity regression）</news:title>
   <news:publication_date>2026-07-06T08:27:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708691</loc>
  <lastmod>2026-07-06T08:27:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PaccMannによる抗がん剤感受性予測（PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks）</news:title>
   <news:publication_date>2026-07-06T08:27:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708689</loc>
  <lastmod>2026-07-06T08:27:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>運転制御における不確実性定量の評価（Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control）</news:title>
   <news:publication_date>2026-07-06T08:27:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708687</loc>
  <lastmod>2026-07-06T07:36:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DropFilterによるCNNの正則化手法の提案（DropFilter: A Novel Regularization Method for Learning Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-07-06T07:36:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/708685</loc>
  <lastmod>2026-07-06T07:36:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AoI最適化のための強化学習ベーススケジューリング（Reinforcement Learning Based Scheduling Algorithm for Optimizing Age of Information in URLLC）</news:title>
   <news:publication_date>2026-07-06T07:36:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708683</loc>
  <lastmod>2026-07-06T07:35:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>変換領域更新と指数的適応閾値を用いた疎な逆共分散推定（A Novel Approach to Sparse Inverse Covariance Estimation Using Transform Domain Updates and Exponentially Adaptive Thresholding）</news:title>
   <news:publication_date>2026-07-06T07:35:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708681</loc>
  <lastmod>2026-07-06T07:34:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>キーワード検出のための確率的適応ニューラルアーキテクチャ探索（Stochastic Adaptive Neural Architecture Search for Keyword Spotting）</news:title>
   <news:publication_date>2026-07-06T07:34:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708679</loc>
  <lastmod>2026-07-06T07:34:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>概ね最適な契約を学習する（Learning Approximately Optimal Contracts）</news:title>
   <news:publication_date>2026-07-06T07:34:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708677</loc>
  <lastmod>2026-07-06T07:34:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械的判断と人間への影響（MACHINE DECISIONS AND HUMAN CONSEQUENCES）</news:title>
   <news:publication_date>2026-07-06T07:34:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708675</loc>
  <lastmod>2026-07-06T07:33:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エントロピー正則化最適輸送を用いた生成モデル（Entropy-regularized Optimal Transport Generative Models）</news:title>
   <news:publication_date>2026-07-06T07:33:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708673</loc>
  <lastmod>2026-07-06T06:42:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>領域内位置検証とネットワーク配置の機械学習アプローチ（Location-Verification and Network Planning via Machine Learning Approaches）</news:title>
   <news:publication_date>2026-07-06T06:42:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708671</loc>
  <lastmod>2026-07-06T06:41:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチチャネル音声強調におけるVAEとNMFの半教師ありアプローチ（SEMI-SUPERVISED MULTICHANNEL SPEECH ENHANCEMENT WITH VARIATIONAL AUTOENCODERS AND NON-NEGATIVE MATRIX FACTORIZATION）</news:title>
   <news:publication_date>2026-07-06T06:41:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708669</loc>
  <lastmod>2026-07-06T06:41:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>模倣学習のアルゴリズム的展望（An Algorithmic Perspective on Imitation Learning）</news:title>
   <news:publication_date>2026-07-06T06:41:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708667</loc>
  <lastmod>2026-07-06T06:41:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サブタスクゲーティングによる非侵襲型消費電力分解（Subtask Gated Networks for Non-Intrusive Load Monitoring）</news:title>
   <news:publication_date>2026-07-06T06:41:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708665</loc>
  <lastmod>2026-07-06T06:40:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>粗から細へのタスク転移によるアスペクトレベル感情分類の改善（Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification）</news:title>
   <news:publication_date>2026-07-06T06:40:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708663</loc>
  <lastmod>2026-07-06T06:40:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層生成によるモデル-Xノックオフの実装と有効性（Deep Knockoffs）</news:title>
   <news:publication_date>2026-07-06T06:40:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708661</loc>
  <lastmod>2026-07-06T06:39:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マゼラン雲における共生星探索の手法と初期発見（A deep survey for symbiotic stars in the Magellanic Clouds - 1. Methodology and first discoveries in the SMC）</news:title>
   <news:publication_date>2026-07-06T06:39:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708659</loc>
  <lastmod>2026-07-06T05:48:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>発音方式検出を用いたビームサーチ復号化（BEAM SEARCH DECODING USING MANNER OF ARTICULATION DETECTION）</news:title>
   <news:publication_date>2026-07-06T05:48:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708657</loc>
  <lastmod>2026-07-06T05:48:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>IoTストリーミングデータにおける異常パターン検出と転倒検知（Detecting Irregular Patterns in IoT Streaming Data for Fall Detection）</news:title>
   <news:publication_date>2026-07-06T05:48:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708655</loc>
  <lastmod>2026-07-06T05:48:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習型インデックス構造による索引圧縮の可能性 (The Potential of Learned Index Structures for Index Compression)</news:title>
   <news:publication_date>2026-07-06T05:48:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708653</loc>
  <lastmod>2026-07-06T05:47:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>同質性に基づく伝播モデルによる真偽ニュースの解析（Homogeneity-Based Transmissive Process To Model True and False News in Social Networks）</news:title>
   <news:publication_date>2026-07-06T05:47:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708651</loc>
  <lastmod>2026-07-06T05:47:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ACLNETによる効率的なエンドツーエンド音声分類（ACLNET: EFFICIENT END-TO-END AUDIO CLASSIFICATION CNN）</news:title>
   <news:publication_date>2026-07-06T05:47:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708649</loc>
  <lastmod>2026-07-06T05:47:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>土の上のAI――圃場内綿花収量予測の空間時系列マルチタスク学習（Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction）</news:title>
   <news:publication_date>2026-07-06T05:47:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708647</loc>
  <lastmod>2026-07-06T05:47:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Composite Binary Decomposition Networks（Composite Binary Decomposition Networks）</news:title>
   <news:publication_date>2026-07-06T05:47:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708645</loc>
  <lastmod>2026-07-06T04:56:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数の非古典的相関の同時学習の実験（Experimental Simultaneous Learning of Multiple Non-Classical Correlations）</news:title>
   <news:publication_date>2026-07-06T04:56:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708643</loc>
  <lastmod>2026-07-06T04:55:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コンテンツ認識型の個別化レート適応（Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis）</news:title>
   <news:publication_date>2026-07-06T04:55:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708641</loc>
  <lastmod>2026-07-06T04:55:19Z</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を使った量子状態推定の効率化（Neural network state estimation for full quantum state tomography）</news:title>
   <news:publication_date>2026-07-06T04:55:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708639</loc>
  <lastmod>2026-07-06T04:55:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>誤特定ガウス過程モデルの平均二乗予測誤差（Mean Square Prediction Error of Misspecified Gaussian Process Models）</news:title>
   <news:publication_date>2026-07-06T04:55:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708637</loc>
  <lastmod>2026-07-06T04:54:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声で操作するECウェブアプリケーション（A Voice Controlled E-Commerce Web Application）</news:title>
   <news:publication_date>2026-07-06T04:54:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708635</loc>
  <lastmod>2026-07-06T04:54:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>車載向けモジュール型軽量ネットワークによる道路上物体検出（Detecting The Objects on The Road Using Modular Lightweight Network）</news:title>
   <news:publication_date>2026-07-06T04:54:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708633</loc>
  <lastmod>2026-07-06T04:54:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラル生成が切り拓く現代音楽の可能性（Generating Black Metal and Math Rock: Beyond Bach, Beethoven, and Beatles）</news:title>
   <news:publication_date>2026-07-06T04:54:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708631</loc>
  <lastmod>2026-07-06T04:03:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SampleRNNによるアルバム自動生成（Generating Albums with SampleRNN to Imitate Metal, Rock, and Punk Bands）</news:title>
   <news:publication_date>2026-07-06T04:03:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708629</loc>
  <lastmod>2026-07-06T04:03:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Lagrangian系の追従制御におけるGaussian Processによるモデル適応と利得調整（Stable Gaussian Process based Tracking Control of Lagrangian Systems）</news:title>
   <news:publication_date>2026-07-06T04:03:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708627</loc>
  <lastmod>2026-07-06T04:03:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>より安全なスマートコントラクトへ：セキュリティ脅威検出のための系列学習アプローチ (Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Security Threats)</news:title>
   <news:publication_date>2026-07-06T04:03:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708625</loc>
  <lastmod>2026-07-06T04:02:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>概念指向ディープラーニング：生成的概念表現（Concept-Oriented Deep Learning: Generative Concept Representations）</news:title>
   <news:publication_date>2026-07-06T04:02:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708623</loc>
  <lastmod>2026-07-06T04:02:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>制御におけるスパース表現の有用性（The Utility of Sparse Representations for Control in Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-06T04:02:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708621</loc>
  <lastmod>2026-07-06T04:02:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ブラックボックス攻撃におけるハイパーパラメータの扱い（A NOTE ON HYPERPARAMETERS IN BLACK-BOX ADVERSARIAL EXAMPLES）</news:title>
   <news:publication_date>2026-07-06T04:02:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708619</loc>
  <lastmod>2026-07-06T04:01:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈依存の上側信頼境界による指向的探索（Context-Dependent Upper-Confidence Bounds for Directed Exploration）</news:title>
   <news:publication_date>2026-07-06T04:01:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708617</loc>
  <lastmod>2026-07-06T03:10:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>感情を表現するオープンドメイン対話応答生成（Generating Responses Expressing Emotion in an Open–domain Dialogue System）</news:title>
   <news:publication_date>2026-07-06T03:10:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708615</loc>
  <lastmod>2026-07-06T03:10:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多忠度ガウス過程で光ナノ構造を効率最適化する（Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes）</news:title>
   <news:publication_date>2026-07-06T03:10:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708613</loc>
  <lastmod>2026-07-06T03:09:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スペクトル的視点で見る敵対的に堅牢な特徴（A Spectral View of Adversarially Robust Features）</news:title>
   <news:publication_date>2026-07-06T03:09:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708611</loc>
  <lastmod>2026-07-06T03:09:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無制約サブモジュラ最大化と低適応複雑度（Unconstrained Submodular Maximization with Constant Adaptive Complexity）</news:title>
   <news:publication_date>2026-07-06T03:09:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708609</loc>
  <lastmod>2026-07-06T03:09:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無限時域ガウス過程（Infinite-Horizon Gaussian Processes）</news:title>
   <news:publication_date>2026-07-06T03:09:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708607</loc>
  <lastmod>2026-07-06T03:09:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分野横断的な重複質問検出の一般性と知識転移可能性（On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering）</news:title>
   <news:publication_date>2026-07-06T03:09:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708605</loc>
  <lastmod>2026-07-06T03:09:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複合外観ネットワークによる人物追跡と追跡誤差の評価（CAN: Composite Appearance Network for Person Tracking and How to Model Errors in a Tracking System）</news:title>
   <news:publication_date>2026-07-06T03:09:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708603</loc>
  <lastmod>2026-07-06T02:17:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速学習を可能にする安定テンソルニューラルネットワーク（Stable Tensor Neural Networks for Rapid Deep Learning）</news:title>
   <news:publication_date>2026-07-06T02:17:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708601</loc>
  <lastmod>2026-07-06T02:17:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>部分空間クラスタリングをサブクラスタで拡張する（Subspace Clustering through Sub-Clusters）</news:title>
   <news:publication_date>2026-07-06T02:17:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708599</loc>
  <lastmod>2026-07-06T02:17:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Seq2Seqな模倣ゲームとシグナリングの視点（Seq2Seq Mimic Games: A Signaling Perspective）</news:title>
   <news:publication_date>2026-07-06T02:17:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708597</loc>
  <lastmod>2026-07-06T02:16:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MUSE‑Wideサーベイの概要と第一次データリリース（The MUSE‑Wide Survey: Survey Description and First Data Release）</news:title>
   <news:publication_date>2026-07-06T02:16:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708595</loc>
  <lastmod>2026-07-06T02:16:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LSST Deep-Drilling Fieldsにおける活動銀河核（AGN）観測要件（Active Galaxy Science in the LSST Deep-Drilling Fields: Footprints, Cadence Requirements, and Total-Depth Requirements）</news:title>
   <news:publication_date>2026-07-06T02:16:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708593</loc>
  <lastmod>2026-07-06T02:15:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ダークウェブ掲示板のネットワーク分析による企業サイバー攻撃予測（Predicting enterprise cyber incidents using social network analysis on the darkweb hacker forums）</news:title>
   <news:publication_date>2026-07-06T02:15:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708591</loc>
  <lastmod>2026-07-06T02:15:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二つのブラックホール探索ツール（The binary black hole explorer: on-the-fly visualizations of precessing binary black holes）</news:title>
   <news:publication_date>2026-07-06T02:15:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708589</loc>
  <lastmod>2026-07-06T01:24:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>宇宙構造形成を予測する学習モデル（Learning to Predict the Cosmological Structure Formation）</news:title>
   <news:publication_date>2026-07-06T01:24:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708587</loc>
  <lastmod>2026-07-06T01:23:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>転移学習におけるMACモデルの改良と応用（On transfer learning using a MAC model variant）</news:title>
   <news:publication_date>2026-07-06T01:23:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708585</loc>
  <lastmod>2026-07-06T01:23:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ノイズの多いデータで「学べるクラス」を見極める手法（Exploiting Class Learnability in Noisy Data）</news:title>
   <news:publication_date>2026-07-06T01:23:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708583</loc>
  <lastmod>2026-07-06T01:23:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>QCDの臨界点探索における新しい発想と動的記述の前進（The QCD critical point hunt: emergent new ideas and new dynamics）</news:title>
   <news:publication_date>2026-07-06T01:23:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708581</loc>
  <lastmod>2026-07-06T01:22:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テンソルネットワークによる近似最適化とスピンガラスのドロップレット発見（Approximate optimization, sampling and spin-glass droplets discovery with tensor networks）</news:title>
   <news:publication_date>2026-07-06T01:22:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708579</loc>
  <lastmod>2026-07-06T01:22:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人の好みとデモから学ぶ報酬学習（Reward learning from human preferences and demonstrations in Atari）</news:title>
   <news:publication_date>2026-07-06T01:22:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708577</loc>
  <lastmod>2026-07-06T01:22:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>治療効果の分布を滑らかに推定する手法（Kernel Smoothing of the Treatment Effect CDF）</news:title>
   <news:publication_date>2026-07-06T01:22:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708575</loc>
  <lastmod>2026-07-06T00:31:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロバスト強化学習におけるベイズ的あいまい集合の最適化（Tight Bayesian Ambiguity Sets for Robust MDPs）</news:title>
   <news:publication_date>2026-07-06T00:31:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708573</loc>
  <lastmod>2026-07-06T00:30:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像の潜在表現における交絡因子補正（Adjusting for Confounding in Unsupervised Latent Representations of Images）</news:title>
   <news:publication_date>2026-07-06T00:30:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708571</loc>
  <lastmod>2026-07-06T00:30:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>前立腺がんのGleason評価を改善する深層学習の実装と検証（Development and Validation of a Deep Learning Algorithm for Improving Gleason Scoring of Prostate Cancer）</news:title>
   <news:publication_date>2026-07-06T00:30:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708569</loc>
  <lastmod>2026-07-06T00:30:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Calabi-Yau三重項の数と三角分割の推定（Estimating Calabi-Yau Hypersurface and Triangulation Counts with Equation Learners）</news:title>
   <news:publication_date>2026-07-06T00:30:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708567</loc>
  <lastmod>2026-07-06T00:29:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的攻撃の数学的解析 (Mathematical Analysis of Adversarial Attacks)</news:title>
   <news:publication_date>2026-07-06T00:29:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708565</loc>
  <lastmod>2026-07-06T00:29:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>細胞分類ニューラルネットワークの深層特徴空間の探究 (Exploring the Deep Feature Space of a Cell Classification Neural Network)</news:title>
   <news:publication_date>2026-07-06T00:29:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708563</loc>
  <lastmod>2026-07-06T00:29:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>近接場放射による熱伝達デバイス（A near-field radiative heat transfer device）</news:title>
   <news:publication_date>2026-07-06T00:29:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708561</loc>
  <lastmod>2026-07-05T23:38:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グローバルクラスターに潜むブラックホールを機械学習で探す手法（Finding Black Holes with Black Boxes – Using Machine Learning to Identify Globular Clusters with Black Hole Subsystems）</news:title>
   <news:publication_date>2026-07-05T23:38:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708559</loc>
  <lastmod>2026-07-05T23:38:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多セルLSTMに基づくニューラル言語モデル（Multi-cell LSTM Based Neural Language Model）</news:title>
   <news:publication_date>2026-07-05T23:38:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708557</loc>
  <lastmod>2026-07-05T23:38:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クレジット審査に向けた説明可能な深層学習の試み（Towards Explainable Deep Learning for Credit Lending）</news:title>
   <news:publication_date>2026-07-05T23:38:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708555</loc>
  <lastmod>2026-07-05T23:37:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ESO 428-G014の深チャンドラ観測：核領域の硬連続光とFe Kα線の形態（Deep Chandra Observations of ESO 428-G014: IV. The Morphology of the Nuclear Region in the Hard Continuum and Fe Kα Line）</news:title>
   <news:publication_date>2026-07-05T23:37:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708553</loc>
  <lastmod>2026-07-05T23:37:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>センサーの情報鮮度（Age of Information）を減らす方法（Minimizing the Age of Information from Sensors with Common Observations）</news:title>
   <news:publication_date>2026-07-05T23:37:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708551</loc>
  <lastmod>2026-07-05T23:36:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈を考慮した医療ケアプロトコル（Contextual Care Protocol using Neural Networks and Decision Trees）</news:title>
   <news:publication_date>2026-07-05T23:36:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708549</loc>
  <lastmod>2026-07-05T23:36:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アドバーサリアル・レジリエンス学習—大規模複雑システムの脆弱性分析に向けて（Adversarial Resilience Learning — Towards Systemic Vulnerability Analysis for Large and Complex Systems）</news:title>
   <news:publication_date>2026-07-05T23:36:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708547</loc>
  <lastmod>2026-07-05T22:45:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多クラス・ベイズ誤差率の上界学習（Learning to Bound the Multi-class Bayes Error）</news:title>
   <news:publication_date>2026-07-05T22:45:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708545</loc>
  <lastmod>2026-07-05T22:45:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラル予測的信念表現（NEURAL PREDICTIVE BELIEF REPRESENTATIONS）</news:title>
   <news:publication_date>2026-07-05T22:45:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708543</loc>
  <lastmod>2026-07-05T22:44:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>暗号学的擬似乱数から生じる敵対的事例（Adversarial Examples from Cryptographic Pseudo-Random Generators）</news:title>
   <news:publication_date>2026-07-05T22:44:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708541</loc>
  <lastmod>2026-07-05T22:44:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物理信号の深層分類による車両識別の実用可能性（Physical Signal Classification Via Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-05T22:44:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708539</loc>
  <lastmod>2026-07-05T22:44:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テンプレートマッチングによる手書き中国語文字認識（Deep Template Matching for Offline Handwritten Chinese Character Recognition）</news:title>
   <news:publication_date>2026-07-05T22:44:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708537</loc>
  <lastmod>2026-07-05T22:44:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カーネル帯域幅選択のトレース基準（The Trace Criterion for Kernel Bandwidth Selection for Support Vector Data Description）</news:title>
   <news:publication_date>2026-07-05T22:44:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708535</loc>
  <lastmod>2026-07-05T22:43:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非同期確率的合成最適化における分散削減（Asynchronous Stochastic Composition Optimization with Variance Reduction）</news:title>
   <news:publication_date>2026-07-05T22:43:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708533</loc>
  <lastmod>2026-07-05T21:52:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声から巣箱の状態を識別する研究（AUDIO-BASED IDENTIFICATION OF BEEHIVE STATES）</news:title>
   <news:publication_date>2026-07-05T21:52:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708531</loc>
  <lastmod>2026-07-05T21:52:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>地点ごとの履歴を統合して予測精度を高める手法の要点（Spatio-temporal Stacked LSTM for Temperature Prediction）</news:title>
   <news:publication_date>2026-07-05T21:52:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708529</loc>
  <lastmod>2026-07-05T21:51:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>空間時系列ホーキンス過程によるネットワーク再構築（MULTIVARIATE SPATIOTEMPORAL HAWKES PROCESSES AND NETWORK RECONSTRUCTION）</news:title>
   <news:publication_date>2026-07-05T21:51:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708527</loc>
  <lastmod>2026-07-05T21:51:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個人化時系列セグメンテーションによる携帯電話行動分析（Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior）</news:title>
   <news:publication_date>2026-07-05T21:51:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708525</loc>
  <lastmod>2026-07-05T21:51:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CycleGANの一対一写像を最適輸送で導く（Guiding the One-to-one Mapping in CycleGAN via Optimal Transport）</news:title>
   <news:publication_date>2026-07-05T21:51:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708523</loc>
  <lastmod>2026-07-05T21:51:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキスト上で構造化クエリに直接応答する方法（Answering Structured Queries Directly over Text）</news:title>
   <news:publication_date>2026-07-05T21:51:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708521</loc>
  <lastmod>2026-07-05T21:51:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>選択的特徴結合機構（Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector）</news:title>
   <news:publication_date>2026-07-05T21:51:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708519</loc>
  <lastmod>2026-07-05T20:59:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反実仮想で学ぶ方策探索（WOULDA, COULDA, SHOULDA: COUNTERFACTUALLY-GUIDED POLICY SEARCH）</news:title>
   <news:publication_date>2026-07-05T20:59:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708517</loc>
  <lastmod>2026-07-05T20:59:13Z</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3次元電子密度の効率的予測（Efficient prediction of 3D electron densities using machine learning）</news:title>
   <news:publication_date>2026-07-05T20:59:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708515</loc>
  <lastmod>2026-07-05T20:59:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像の「切り取り（クリッピング）」を復元する深層ネットワーク（IMAGE DECLIPPING WITH DEEP NETWORKS）</news:title>
   <news:publication_date>2026-07-05T20:59:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708513</loc>
  <lastmod>2026-07-05T20:58:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ポリマーナノコンポジットの界面表現を再考する（Rethinking Interphase Representations for Modeling Viscoelastic Properties for Polymer Nanocomposites）</news:title>
   <news:publication_date>2026-07-05T20:58:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708511</loc>
  <lastmod>2026-07-05T20:58:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音と映像を同時に使う「会話強化」の学び方（ON TRAINING TARGETS AND OBJECTIVE FUNCTIONS FOR DEEP-LEARNING-BASED AUDIO-VISUAL SPEECH ENHANCEMENT）</news:title>
   <news:publication_date>2026-07-05T20:58:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708509</loc>
  <lastmod>2026-07-05T20:58:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己教師ありスペクトルグラフ表現の実用性（SGR: Self-Supervised Spectral Graph Representation Learning）</news:title>
   <news:publication_date>2026-07-05T20:58:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708507</loc>
  <lastmod>2026-07-05T20:57:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>雑音下における話し方の反射がAV音声強調に与える影響（EFFECTS OF LOMBARD REFLEX ON THE PERFORMANCE OF DEEP-LEARNING-BASED AUDIO-VISUAL SPEECH ENHANCEMENT SYSTEMS）</news:title>
   <news:publication_date>2026-07-05T20:57:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708505</loc>
  <lastmod>2026-07-05T20:06:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高分子の物性予測にGCNNを使う意義（Graph Convolutional Neural Networks for Polymers Property Prediction）</news:title>
   <news:publication_date>2026-07-05T20:06:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708503</loc>
  <lastmod>2026-07-05T20:06:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>逐次意思決定における報酬推定分散の消去（Reward-estimation variance elimination in sequential decision processes）</news:title>
   <news:publication_date>2026-07-05T20:06:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708501</loc>
  <lastmod>2026-07-05T20:05:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モデルに基づく近似クエリ処理（Model-based Approximate Query Processing）</news:title>
   <news:publication_date>2026-07-05T20:05:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708499</loc>
  <lastmod>2026-07-05T20:04:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>眼科手術画像における顔照合と偽造検出（Face Verification and Forgery Detection for Ophthalmic Surgery Images）</news:title>
   <news:publication_date>2026-07-05T20:04:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708497</loc>
  <lastmod>2026-07-05T20:04:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>短期風速予測におけるカーネルスペクトル隠れマルコフモデル（Short-Term Wind-Speed Forecasting Using Kernel Spectral Hidden Markov Models）</news:title>
   <news:publication_date>2026-07-05T20:04:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708495</loc>
  <lastmod>2026-07-05T20:04:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深いドメイン適応の理論的理解（On Deep Domain Adaptation: Some Theoretical Understandings）</news:title>
   <news:publication_date>2026-07-05T20:04:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708493</loc>
  <lastmod>2026-07-05T20:04:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>結晶グラフと材料記述子から熱電特性を予測する（Predicting thermoelectric properties from crystal graphs and material descriptors – first application for functional materials）</news:title>
   <news:publication_date>2026-07-05T20:04:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708491</loc>
  <lastmod>2026-07-05T19:12:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>歩容を「集合」とみなす新視点が開く人物識別の実用性向上（GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition）</news:title>
   <news:publication_date>2026-07-05T19:12:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708489</loc>
  <lastmod>2026-07-05T19:12:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>介入支援強化学習による安全で実用的なナビゲーション方策最適化（Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation）</news:title>
   <news:publication_date>2026-07-05T19:12:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708487</loc>
  <lastmod>2026-07-05T19:11:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>EHR駆動フェノタイプ抽出アルゴリズムの設計パターン特性解析 (Characterizing Design Patterns of EHR-Driven Phenotype Extraction Algorithms)</news:title>
   <news:publication_date>2026-07-05T19:11:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708485</loc>
  <lastmod>2026-07-05T19:11:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Tiyuntsong：自己対戦型強化学習とGANでABRを再設計する（TIYUNTSONG: A SELF-PLAY REINFORCEMENT LEARNING APPROACH FOR ABR VIDEO STREAMING）</news:title>
   <news:publication_date>2026-07-05T19:11:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708483</loc>
  <lastmod>2026-07-05T19:11:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>センサー不要の深度予測（Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos）</news:title>
   <news:publication_date>2026-07-05T19:11:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708481</loc>
  <lastmod>2026-07-05T19:11:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>金融ニュースを活用した株価動向予測（Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network）</news:title>
   <news:publication_date>2026-07-05T19:11:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708479</loc>
  <lastmod>2026-07-05T19:10:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医療質問応答のための文埋め込み活用（Exploiting Sentence Embedding for Medical Question Answering）</news:title>
   <news:publication_date>2026-07-05T19:10:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708477</loc>
  <lastmod>2026-07-05T18:19:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>直交ポリシー勾配と自動運転への応用（Orthogonal Policy Gradient and Autonomous Driving Application）</news:title>
   <news:publication_date>2026-07-05T18:19:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708475</loc>
  <lastmod>2026-07-05T18:19:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エフェクトハンドラによる可換なプログラム変換の実装（Effect Handling for Composable Program Transformations in Edward2）</news:title>
   <news:publication_date>2026-07-05T18:19:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708473</loc>
  <lastmod>2026-07-05T18:19:06Z</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よる電力系統のリアルタイム状態推定と予測（Real-time Power System State Estimation and Forecasting via Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-05T18:19:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708471</loc>
  <lastmod>2026-07-05T18:18:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BESIII実験での機械学習の応用（Application of machine learning techniques at BESIII experiment）</news:title>
   <news:publication_date>2026-07-05T18:18:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708469</loc>
  <lastmod>2026-07-05T18:17:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヘテロジニアスソース上での大規模探索的検索の展望（Towards Large-Scale Exploratory Search over Heterogeneous Sources）</news:title>
   <news:publication_date>2026-07-05T18:17:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708467</loc>
  <lastmod>2026-07-05T18:17:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>メモリ拡張型ニューラルネットワークによる概念学習の強化学習アプローチ（Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks）</news:title>
   <news:publication_date>2026-07-05T18:17:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708465</loc>
  <lastmod>2026-07-05T18:17:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>組合せ最適化に機械学習を組み合わせる方法論的概観（Machine Learning for Combinatorial Optimization: a Methodological Tour d’Horizon）</news:title>
   <news:publication_date>2026-07-05T18:17:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708463</loc>
  <lastmod>2026-07-05T17:25:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>繰り返し公共財ゲームにおける協力の強制と共謀耐性（Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games）</news:title>
   <news:publication_date>2026-07-05T17:25:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708461</loc>
  <lastmod>2026-07-05T17:24:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ウェーブレット領域における深層学習（Deep Learning in the Wavelet Domain）</news:title>
   <news:publication_date>2026-07-05T17:24:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708459</loc>
  <lastmod>2026-07-05T17:24:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>過去の入札から学ぶ戦略的参加方法（Learning from Past Bids to Participate Strategically in Day-Ahead Electricity Markets）</news:title>
   <news:publication_date>2026-07-05T17:24:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708457</loc>
  <lastmod>2026-07-05T17:22:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>遅延情報を伴う予測モデリング（Predictive Modeling with Delayed Information: a Case Study in E-commerce Transaction Fraud Control）</news:title>
   <news:publication_date>2026-07-05T17:22:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708455</loc>
  <lastmod>2026-07-05T17:22:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多変量時系列類似度評価と早期低血圧エピソード検出（Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing）</news:title>
   <news:publication_date>2026-07-05T17:22:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708453</loc>
  <lastmod>2026-07-05T17:22:14Z</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のためのニュートン法（Newton Methods for Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-07-05T17:22:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708451</loc>
  <lastmod>2026-07-05T17:22:01Z</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よる変調認識とISI・敵対的事例への示唆（Deep Neural Networks based Modrec: Some Results with Inter-Symbol Interference and Adversarial Examples）</news:title>
   <news:publication_date>2026-07-05T17:22:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708449</loc>
  <lastmod>2026-07-05T16:30:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>指紋ポア検出を小さなFCNで改善する（Improving Fingerprint Pore Detection with a Small FCN）</news:title>
   <news:publication_date>2026-07-05T16:30:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708447</loc>
  <lastmod>2026-07-05T16:30:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対照的潜在変数モデルによる教師なし学習の転換（Unsupervised Learning with Contrastive Latent Variable Models）</news:title>
   <news:publication_date>2026-07-05T16:30:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708445</loc>
  <lastmod>2026-07-05T16:30:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>制約付き逐次パターンマイニングと多値決定図 (Constraint-based Sequential Pattern Mining with Decision Diagrams)</news:title>
   <news:publication_date>2026-07-05T16:30:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708443</loc>
  <lastmod>2026-07-05T16:29:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>活動時系列の敵対的・教師なし表現学習（Adversarial Unsupervised Representation Learning for Activity Time-Series）</news:title>
   <news:publication_date>2026-07-05T16:29:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708441</loc>
  <lastmod>2026-07-05T16:29:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワーク解析の最小最大率：グラフォン推定・コミュニティ検出・仮説検定（Minimax Rates in Network Analysis: Graphon Estimation, Community Detection and Hypothesis Testing）</news:title>
   <news:publication_date>2026-07-05T16:29:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708439</loc>
  <lastmod>2026-07-05T16:29:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>有解釈な深層学習による太陽光素子の構造–物性探索（Interpretable deep learning for guided structure-property explorations in photovoltaics）</news:title>
   <news:publication_date>2026-07-05T16:29:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708437</loc>
  <lastmod>2026-07-05T16:29:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最適な個別治療ルールの学習（Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN）</news:title>
   <news:publication_date>2026-07-05T16:29:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708435</loc>
  <lastmod>2026-07-05T15:37:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人間らしい学習を目指す機械学習の限界と示唆（Human-like machine learning: limitations and suggestions）</news:title>
   <news:publication_date>2026-07-05T15:37:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708433</loc>
  <lastmod>2026-07-05T15:37:20Z</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ConvLSTMによる左心室心筋の自動セグメンテーション（A MULTI-LEVEL CONVOLUTIONAL LSTM MODEL FOR THE SEGMENTATION OF LEFT VENTRICLE MYOCARDIUM IN INFARCTED PORCINE CINE MR IMAGES）</news:title>
   <news:publication_date>2026-07-05T15:37:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708431</loc>
  <lastmod>2026-07-05T15:37:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数の分子表現を用いた化学物性予測の混合DNN（CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations）</news:title>
   <news:publication_date>2026-07-05T15:37:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708429</loc>
  <lastmod>2026-07-05T15:36:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>再帰型ニューラルネットワークの検証とルール抽出（Verification of Recurrent Neural Networks Through Rule Extraction）</news:title>
   <news:publication_date>2026-07-05T15:36:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708427</loc>
  <lastmod>2026-07-05T15:36:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層的マルチタスクによる意味埋め込み学習 (A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks)</news:title>
   <news:publication_date>2026-07-05T15:36:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708425</loc>
  <lastmod>2026-07-05T15:36:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医療画像セグメンテーションにおける自己アンサンブリングを用いた教師なしドメイン適応（Unsupervised domain adaptation for medical imaging segmentation with self-ensembling）</news:title>
   <news:publication_date>2026-07-05T15:36:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708423</loc>
  <lastmod>2026-07-05T15:35:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自然環境を取り入れた強化学習ベンチマーク（Natural Environment Benchmarks for Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-05T15:35:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708421</loc>
  <lastmod>2026-07-05T14:44:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>選択的データ開示による探索誘導（Incentivizing Exploration with Selective Data Disclosure）</news:title>
   <news:publication_date>2026-07-05T14:44:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708419</loc>
  <lastmod>2026-07-05T14:44:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深宇宙X線で確証されたCompton厚AGNの再評価 — NGC 1358のNuSTARとXMM-Newton共同観測 (COMPTON-THICK AGN IN THE NuSTAR ERA II: A DEEP NuSTAR AND XMM-Newton VIEW OF THE CANDIDATE COMPTON THICK AGN IN NGC 1358)</news:title>
   <news:publication_date>2026-07-05T14:44:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708417</loc>
  <lastmod>2026-07-05T14:44:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>合成フローの性能推定に関するLSTMと転移学習の応用（Performance Estimation of Synthesis Flows cross Technologies using LSTMs and Transfer Learning）</news:title>
   <news:publication_date>2026-07-05T14:44:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708415</loc>
  <lastmod>2026-07-05T14:43:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的ランダムフォレスト：ノイズの多いデータ向け機械学習アルゴリズム（Probabilistic Random Forest: A machine learning algorithm for noisy datasets）</news:title>
   <news:publication_date>2026-07-05T14:43:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708413</loc>
  <lastmod>2026-07-05T14:43:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トラック候補の捕捉と延長：1つのRNNによる同時判定と探索（Catch and Prolong: recurrent neural network for seeking track-candidates）</news:title>
   <news:publication_date>2026-07-05T14:43:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708411</loc>
  <lastmod>2026-07-05T14:43:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ミツバチ巣箱音認識における機械学習の可能性（To be or not to bee: investigating machine learning approaches for beehive sound recognition）</news:title>
   <news:publication_date>2026-07-05T14:43:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708409</loc>
  <lastmod>2026-07-05T14:42:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヘテロティック軌道空間における深層学習の応用（Deep learning in the heterotic orbifold landscape）</news:title>
   <news:publication_date>2026-07-05T14:42:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708407</loc>
  <lastmod>2026-07-05T13:51:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>星形成銀河の回転曲線の形状が示すもの（The Shapes of the Rotation Curves of Star-forming Galaxies Over the Last ≈10 Gyr）</news:title>
   <news:publication_date>2026-07-05T13:51:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708405</loc>
  <lastmod>2026-07-05T13:51:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的プログラム結合器によるモデリングと推論の合成（Composing Modeling and Inference Operations with Probabilistic Program Combinators）</news:title>
   <news:publication_date>2026-07-05T13:51:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708403</loc>
  <lastmod>2026-07-05T13:51:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>シンプルなヒューマン・オブジェクト相互作用検出（No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques）</news:title>
   <news:publication_date>2026-07-05T13:51:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708401</loc>
  <lastmod>2026-07-05T13:50:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模対話型レコメンデーションにおける木構造ポリシー勾配（Large-scale Interactive Recommendation with Tree-structured Policy Gradient）</news:title>
   <news:publication_date>2026-07-05T13:50:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708399</loc>
  <lastmod>2026-07-05T13:50:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文とトークンを同時に学習するラベリング（Jointly Learning to Label Sentences and Tokens）</news:title>
   <news:publication_date>2026-07-05T13:50:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708397</loc>
  <lastmod>2026-07-05T13:50:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非線形・非ガウスフィルタリングによる動的システムの状態推定（Deep Nonlinear Non-Gaussian Filtering for Dynamical Systems）</news:title>
   <news:publication_date>2026-07-05T13:50:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708395</loc>
  <lastmod>2026-07-05T13:50:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>シーン特化型車両検出と姿勢推定のためのドメインランダマイゼーション（Domain Randomization for Scene-Specific Car Detection and Pose Estimation）</news:title>
   <news:publication_date>2026-07-05T13:50:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708393</loc>
  <lastmod>2026-07-05T12:58:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Graph Neural Network評価の落とし穴（Pitfalls of Graph Neural Network Evaluation）</news:title>
   <news:publication_date>2026-07-05T12:58:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708391</loc>
  <lastmod>2026-07-05T12:58:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>制約付き文生成のためのメトロポリス・ヘイスティングス法（Constrained Sentence Generation by Metropolis-Hastings Sampling）</news:title>
   <news:publication_date>2026-07-05T12:58:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708389</loc>
  <lastmod>2026-07-05T12:58:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニュークリア・パートン分布をニューラルネットワークで推定（Nuclear Parton Distributions from Neural Networks）</news:title>
   <news:publication_date>2026-07-05T12:58:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708387</loc>
  <lastmod>2026-07-05T12:58:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Drop-Activation：非活性化を使った過学習抑制と調和的正則化（Drop-Activation: Implicit Parameter Reduction and Harmonious Regularization）</news:title>
   <news:publication_date>2026-07-05T12:58:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708385</loc>
  <lastmod>2026-07-05T12:57:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習ベースのラインスペクトル超解像フレームワーク（A LEARNING-BASED FRAMEWORK FOR LINE-SPECTRA SUPER-RESOLUTION）</news:title>
   <news:publication_date>2026-07-05T12:57:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708383</loc>
  <lastmod>2026-07-05T12:57:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>強凸制約下における投影不要最適化の再検討（Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets）</news:title>
   <news:publication_date>2026-07-05T12:57:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708381</loc>
  <lastmod>2026-07-05T12:57:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチフィジックス系の時間発展を予測するseq2seqモデル（Predicting the time-evolution of multi-physics systems with sequence-to-sequence models）</news:title>
   <news:publication_date>2026-07-05T12:57:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708379</loc>
  <lastmod>2026-07-05T12:06:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>歪みに強い画像分類（DISTORTION ROBUST IMAGE CLASSIFICATION USING DEEP CONVOLUTIONAL NEURAL NETWORK WITH DISCRETE COSINE TRANSFORM）</news:title>
   <news:publication_date>2026-07-05T12:06:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708377</loc>
  <lastmod>2026-07-05T12:06:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>前立腺GANによる拡散画像合成でデータバイアスを緩和（ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-07-05T12:06:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708375</loc>
  <lastmod>2026-07-05T12:06:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文法に基づく構造的CNNデコーダによるコード生成（A Grammar-Based Structural CNN Decoder for Code Generation）</news:title>
   <news:publication_date>2026-07-05T12:06:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708373</loc>
  <lastmod>2026-07-05T12:05:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動物の形状と動きを動画から復元する手法（Creatures great and SMAL: Recovering the shape and motion of animals from video）</news:title>
   <news:publication_date>2026-07-05T12:05:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708371</loc>
  <lastmod>2026-07-05T12:05:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学生のマインドセット介入効果の異質性をMLで明らかにする（Machine Learning Analysis of Heterogeneity in the Effect of Student Mindset Interventions）</news:title>
   <news:publication_date>2026-07-05T12:05:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708369</loc>
  <lastmod>2026-07-05T12:05:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LoANsによる弱教師あり物体検出の要点解説（LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks）</news:title>
   <news:publication_date>2026-07-05T12:05:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708367</loc>
  <lastmod>2026-07-05T12:05:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>細粒度ユーザープロファイリングによるモバイルクラウドセンシングのタスク個人化マッチング（Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing）</news:title>
   <news:publication_date>2026-07-05T12:05:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708365</loc>
  <lastmod>2026-07-05T11:13:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>太陽プラージュにおける磁束と輝度コントラストの関係（Intensity contrast of solar plage as a function of magnetic flux at high spatial resolution）</news:title>
   <news:publication_date>2026-07-05T11:13:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708363</loc>
  <lastmod>2026-07-05T11:12:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自由文から医療記録のクラスタを見つける（FROM FREE TEXT TO CLUSTERS OF CONTENT IN HEALTH RECORDS）</news:title>
   <news:publication_date>2026-07-05T11:12:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708361</loc>
  <lastmod>2026-07-05T11:12:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習で作る古典密度汎関数（A classical density functional from machine learning and a convolutional neural network）</news:title>
   <news:publication_date>2026-07-05T11:12:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708359</loc>
  <lastmod>2026-07-05T11:12:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>類似性が冗長性ベースのプログラム修復で果たす重要な役割（The Remarkable Role of Similarity in Redundancy-based Program Repair）</news:title>
   <news:publication_date>2026-07-05T11:12:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708357</loc>
  <lastmod>2026-07-05T11:11:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CT画像におけるラジオミクスで外傷性脳損傷を予測する（A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans）</news:title>
   <news:publication_date>2026-07-05T11:11:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708355</loc>
  <lastmod>2026-07-05T11:11:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ほぼゼロリソース環境でのASR不要キーワード検出を可能にする特徴探索（Feature exploration for almost zero-resource ASR-free keyword spotting）</news:title>
   <news:publication_date>2026-07-05T11:11:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708353</loc>
  <lastmod>2026-07-05T11:11:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>水素充填ホログラフィック光ファイバーによる深紫外・真空紫外のしきい値なしラマン周波数変換（Thresholdless deep and vacuum ultraviolet Raman frequency conversion in H2-filled photonic crystal fiber）</news:title>
   <news:publication_date>2026-07-05T11:11:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708351</loc>
  <lastmod>2026-07-05T10:20:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>短文会話における多様な応答生成（Generating Multiple Diverse Responses for Short-Text Conversation）</news:title>
   <news:publication_date>2026-07-05T10:20:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708349</loc>
  <lastmod>2026-07-05T10:19:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>旋律フレーズ分割と深層ニューラルネットワーク（Melodic Phrase Segmentation By Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-05T10:19:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708347</loc>
  <lastmod>2026-07-05T10:19:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大量タスクに対応する効率的でスケーラブルなマルチタスク回帰（Efficient and Scalable Multi-task Regression on Massive Number of Tasks）</news:title>
   <news:publication_date>2026-07-05T10:19:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708345</loc>
  <lastmod>2026-07-05T10:18:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知のポスト損傷分布を伴う構造物損傷検知と局所化（Structural Damage Detection and Localization with Unknown Post-Damage Feature Distribution Using Sequential Change-Point Detection Method）</news:title>
   <news:publication_date>2026-07-05T10:18:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708343</loc>
  <lastmod>2026-07-05T10:18:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>TetrisによるCNN演算の再設計（Tetris: Re-architecting Convolutional Neural Network Computation for Machine Learning Accelerators）</news:title>
   <news:publication_date>2026-07-05T10:18:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708341</loc>
  <lastmod>2026-07-05T10:18:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MT-CGCNNによる物質特性予測の多目的学習（MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction）</news:title>
   <news:publication_date>2026-07-05T10:18:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708339</loc>
  <lastmod>2026-07-05T10:18:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>談話文の一貫性をモデル化する機構（Modeling Coherence for Discourse Neural Machine Translation）</news:title>
   <news:publication_date>2026-07-05T10:18:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708337</loc>
  <lastmod>2026-07-05T09:27:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パーティション同定の標本複雑度と多腕バンディットの純粋探索（Sample complexity of partition identification using multi-armed bandits）</news:title>
   <news:publication_date>2026-07-05T09:27:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708335</loc>
  <lastmod>2026-07-05T09:26:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>床平面図から視覚障害者向けに説明を生成するSUGAMAN（SUGAMAN: Describing Floor Plans for Visually Impaired by Annotation Learning and Proximity based Grammar）</news:title>
   <news:publication_date>2026-07-05T09:26:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708333</loc>
  <lastmod>2026-07-05T09:26:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ストリーム上のサブモジュラ最適化と不均一な劣化（Submodular Optimization Over Streams with Inhomogeneous Decays）</news:title>
   <news:publication_date>2026-07-05T09:26:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708331</loc>
  <lastmod>2026-07-05T09:25:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>メモリ効率の高い量子回路シミュレーション（Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression）</news:title>
   <news:publication_date>2026-07-05T09:25:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708329</loc>
  <lastmod>2026-07-05T09:25:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>都市配電網におけるµPMUを用いた迅速な線路停電検出（Fast Distribution Grid Line Outage Identification with µPMU）</news:title>
   <news:publication_date>2026-07-05T09:25:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/708327</loc>
  <lastmod>2026-07-05T09:25:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>準局所演算子によるトポロジカル相の検出（Detection of topological phases by quasi-local operators）</news:title>
   <news:publication_date>2026-07-05T09:25:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708325</loc>
  <lastmod>2026-07-05T09:25:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対称非負行列因子分解を高速化する「非対称化」の発想（Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization）</news:title>
   <news:publication_date>2026-07-05T09:25:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708323</loc>
  <lastmod>2026-07-05T08:33:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Alibabaクラスタにおける共置ワークロードの異常解析（Anomaly Analysis for Co-located Datacenter Workloads in the Alibaba Cluster）</news:title>
   <news:publication_date>2026-07-05T08:33:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708321</loc>
  <lastmod>2026-07-05T08:33:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スタイルとコンテンツを分離するGANの設計（Style and Content Disentanglement in Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-07-05T08:33:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708319</loc>
  <lastmod>2026-07-05T08:33:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ノイズに強い遠隔教師あり関係抽出の改良（Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector）</news:title>
   <news:publication_date>2026-07-05T08:33:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708317</loc>
  <lastmod>2026-07-05T08:32:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>因子化された部分観測POMDPにおけるベイズ強化学習（Bayesian Reinforcement Learning in Factored POMDPs）</news:title>
   <news:publication_date>2026-07-05T08:32:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708315</loc>
  <lastmod>2026-07-05T08:31:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>言語自身が圧縮コードであるという発見（Extractive Summary as Discrete Latent Variables）</news:title>
   <news:publication_date>2026-07-05T08:31:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708313</loc>
  <lastmod>2026-07-05T08:31:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワーク埋め込みに分離性を導入する手法（SepNE: Bringing Separability to Network Embedding）</news:title>
   <news:publication_date>2026-07-05T08:31:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708311</loc>
  <lastmod>2026-07-05T08:31:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>TrolleyModによる自動運転の倫理判断データ収集プラットフォーム（TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles）</news:title>
   <news:publication_date>2026-07-05T08:31:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708309</loc>
  <lastmod>2026-07-05T07:40:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動化された顔の痛み検出のレビュー（Automated Pain Detection from Facial Expressions using FACS）</news:title>
   <news:publication_date>2026-07-05T07:40:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708307</loc>
  <lastmod>2026-07-05T07:29:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>進化的学習を用いたネットワークの可制御性・多重化・転移学習（Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning）</news:title>
   <news:publication_date>2026-07-05T07:29:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708305</loc>
  <lastmod>2026-07-05T07:29:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ソーシャルメディアデータによるオピオイド再発予測（Predicting Opioid Relapse Using Social Media Data）</news:title>
   <news:publication_date>2026-07-05T07:29:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708303</loc>
  <lastmod>2026-07-05T07:29:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>短文の多言語マッチングと深層学習（Cross-lingual Short-text Matching with Deep Learning）</news:title>
   <news:publication_date>2026-07-05T07:29:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708301</loc>
  <lastmod>2026-07-05T07:28:49Z</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・ウェーブテーブル：演奏可能なウェーブテーブル合成器（Neural Wavetable: a playable wavetable synthesizer using neural networks）</news:title>
   <news:publication_date>2026-07-05T07:28:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708299</loc>
  <lastmod>2026-07-05T07:28:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>脳波の地域参照スペクトルパワー動態（Region-Referenced Spectral Power Dynamics of EEG Signals）</news:title>
   <news:publication_date>2026-07-05T07:28:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708297</loc>
  <lastmod>2026-07-05T07:28:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SVDDに基づく多変量工程能力ベクトルの提案（PCSVDD: SVDD-based Process Capability Vector）</news:title>
   <news:publication_date>2026-07-05T07:28:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708295</loc>
  <lastmod>2026-07-05T06:37:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ駆動型の支配方程式近似に向けた深層ニューラルネットワークの構成（DATA DRIVEN GOVERNING EQUATIONS APPROXIMATION USING DEEP NEURAL NETWORKS）</news:title>
   <news:publication_date>2026-07-05T06:37:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708293</loc>
  <lastmod>2026-07-05T06:37:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>類似度に基づく対話型次元圧縮（Interactive dimensionality reduction using similarity projections）</news:title>
   <news:publication_date>2026-07-05T06:37:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708291</loc>
  <lastmod>2026-07-05T06:36:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>半双対エントロピック正則化付き最適輸送（Semi-Dual Regularized Optimal Transport）</news:title>
   <news:publication_date>2026-07-05T06:36:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708289</loc>
  <lastmod>2026-07-05T06:36:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>選択（セレクション）が入ったデータに対するベイジアンネットワークの制約の解明（TOWARDS CHARACTERISING BAYESIAN NETWORK MODELS UNDER SELECTION）</news:title>
   <news:publication_date>2026-07-05T06:36:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708287</loc>
  <lastmod>2026-07-05T06:35:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Q学習によるニューラルネット騙し（Deep Q learning for fooling neural networks）</news:title>
   <news:publication_date>2026-07-05T06:35:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708285</loc>
  <lastmod>2026-07-05T06:35:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LoTSSによる低光度ラジオAGNの全体像の提示（The LoTSS view of radio AGN in the local Universe）</news:title>
   <news:publication_date>2026-07-05T06:35:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708283</loc>
  <lastmod>2026-07-05T06:35:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GAN評価のドメイン非依存指標（A Domain Agnostic Measure for Monitoring and Evaluating GANs）</news:title>
   <news:publication_date>2026-07-05T06:35:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708281</loc>
  <lastmod>2026-07-05T05:43:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>QUBOによる組合せ最適化の再定義（Quadratic Unconstrained Binary Optimization）</news:title>
   <news:publication_date>2026-07-05T05:43:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708279</loc>
  <lastmod>2026-07-05T05:42:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人工ニューラルネットワークによる次元削減と重み係数空間での重力波推定（Reduced-order modeling with artificial neurons for gravitational-wave inference）</news:title>
   <news:publication_date>2026-07-05T05:42:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708277</loc>
  <lastmod>2026-07-05T05:42:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>共同正則化によるドメイン適応の新手法（Co-regularized Alignment for Unsupervised Domain Adaptation）</news:title>
   <news:publication_date>2026-07-05T05:42:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708275</loc>
  <lastmod>2026-07-05T05:42:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物体中心ポリシーによる自律運転（Deep Object-Centric Policies for Autonomous Driving）</news:title>
   <news:publication_date>2026-07-05T05:42:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708273</loc>
  <lastmod>2026-07-05T05:41:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対話理解と状態追跡を同時学習で効率化するアプローチ（Multi-task learning for Joint Language Understanding and Dialogue State Tracking）</news:title>
   <news:publication_date>2026-07-05T05:41:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708271</loc>
  <lastmod>2026-07-05T05:41:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速な人体姿勢推定の効率化戦略（Fast Human Pose Estimation）</news:title>
   <news:publication_date>2026-07-05T05:41:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708269</loc>
  <lastmod>2026-07-05T05:40:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ML-Netによる医療テキストのマルチラベル分類（ML-Net: multi-label classification of biomedical texts with deep neural networks）</news:title>
   <news:publication_date>2026-07-05T05:40:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708267</loc>
  <lastmod>2026-07-05T04:49:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電子カルテの埋め込みによる臨床情報検索の強化（Embedding Electronic Health Records for Clinical Information Retrieval）</news:title>
   <news:publication_date>2026-07-05T04:49:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708265</loc>
  <lastmod>2026-07-05T04:49:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リプシッツ関数近似の整理（Sorting Out Lipschitz Function Approximation）</news:title>
   <news:publication_date>2026-07-05T04:49:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708263</loc>
  <lastmod>2026-07-05T04:49:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>点群を彫刻へと変える発想：Amalgamated DeepDreamによる3D造形の生成（Hallucinating Point Cloud into 3D Sculptural Object）</news:title>
   <news:publication_date>2026-07-05T04:49:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708261</loc>
  <lastmod>2026-07-05T04:48:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>形態情報を活用した光学赤方偏移推定（Morpho-Photometric Redshifts）</news:title>
   <news:publication_date>2026-07-05T04:48:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708259</loc>
  <lastmod>2026-07-05T04:47:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>携帯通信データから所得を推定する手法の比較（Comparison of Feature Extraction Methods and Predictors for Income Inference）</news:title>
   <news:publication_date>2026-07-05T04:47:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708257</loc>
  <lastmod>2026-07-05T04:47:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声対話エージェントにおける教師なし転移学習（Unsupervised Transfer Learning for Spoken Language Understanding in Intelligent Agents）</news:title>
   <news:publication_date>2026-07-05T04:47:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708255</loc>
  <lastmod>2026-07-05T04:46:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異常検知型ネットワーク侵入検知のベンチマーク再考（Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternatives）</news:title>
   <news:publication_date>2026-07-05T04:46:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708253</loc>
  <lastmod>2026-07-05T03:54:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モデル評価・モデル選択・アルゴリズム選択に関する実務指南（Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning）</news:title>
   <news:publication_date>2026-07-05T03:54:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708251</loc>
  <lastmod>2026-07-05T03:54:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>360度動画からの深度とカメラ動作の自己教師あり学習（Self-Supervised Learning of Depth and Camera Motion from 360◦Videos）</news:title>
   <news:publication_date>2026-07-05T03:54:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708249</loc>
  <lastmod>2026-07-05T03:54:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワーク量子化のためのルックアップテーブル逐次学習（Iteratively Training Look-Up Tables for Network Quantization）</news:title>
   <news:publication_date>2026-07-05T03:54:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708247</loc>
  <lastmod>2026-07-05T03:53:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高性能計算システムにおけるオートエンコーダを用いた異常検知（Anomaly Detection using Autoencoders in High Performance Computing Systems）</news:title>
   <news:publication_date>2026-07-05T03:53:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708245</loc>
  <lastmod>2026-07-05T03:53:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SAFEによる関数埋め込みとバイナリ類似性（SAFE: Self-Attentive Function Embeddings for Binary Similarity）</news:title>
   <news:publication_date>2026-07-05T03:53:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708243</loc>
  <lastmod>2026-07-05T03:53:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少数注釈で医療テキストの固有表現抽出を強化する手法（Few-shot Learning for Named Entity Recognition in Medical Text）</news:title>
   <news:publication_date>2026-07-05T03:53:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708241</loc>
  <lastmod>2026-07-05T03:52:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>年次報告書のテキスト深層学習による破綻予測（Predicting Distresses using Deep Learning of Text Segments in Annual Reports）</news:title>
   <news:publication_date>2026-07-05T03:52:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708239</loc>
  <lastmod>2026-07-05T03:02:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Dirichlet分布に対する共役事前分布（A conjugate prior for the Dirichlet distribution）</news:title>
   <news:publication_date>2026-07-05T03:02:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708237</loc>
  <lastmod>2026-07-05T03:01:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サイドチャネルによる深層学習の逆解析の安全性（How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering?）</news:title>
   <news:publication_date>2026-07-05T03:01:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708235</loc>
  <lastmod>2026-07-05T03:01:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>背景差分における深層ニューラルネットワークの体系的レビュー（Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation）</news:title>
   <news:publication_date>2026-07-05T03:01:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708233</loc>
  <lastmod>2026-07-05T03:00:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層的注意機構と方策勾配最適化による画像キャプション生成（Image Captioning via a Hierarchical Attention Mechanism and Policy Gradient Optimization）</news:title>
   <news:publication_date>2026-07-05T03:00:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708231</loc>
  <lastmod>2026-07-05T03:00:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>海面における小型目標検出のFAR制御型SVM検出器（SVM-Based Sea-Surface Small Target Detection: A False-Alarm-Rate-Controllable Approach）</news:title>
   <news:publication_date>2026-07-05T03:00:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708229</loc>
  <lastmod>2026-07-05T03:00:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチモーダル注意機構による音声—映像統合の革新（MODALITY ATTENTION FOR END-TO-END AUDIO-VISUAL SPEECH RECOGNITION）</news:title>
   <news:publication_date>2026-07-05T03:00:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708227</loc>
  <lastmod>2026-07-05T03:00:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ツーストリーム畳み込みネットワークによる自己運転学習の短期時間情報活用（Two-Stream Convolutional Networks for End-to-end Learning of Self-driving Cars）</news:title>
   <news:publication_date>2026-07-05T03:00:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708225</loc>
  <lastmod>2026-07-05T02:09:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モジュール化ネットワーク：ニューラル計算の分解学習（Modular Networks: Learning to Decompose Neural Computation）</news:title>
   <news:publication_date>2026-07-05T02:09:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708223</loc>
  <lastmod>2026-07-05T02:08:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンライン注意機構を用いた音声認識の実時間化（AN ONLINE ATTENTION-BASED MODEL FOR SPEECH RECOGNITION）</news:title>
   <news:publication_date>2026-07-05T02:08:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708221</loc>
  <lastmod>2026-07-05T02:08:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロボット音声指示の意味解釈を多層LSTMで行う研究（A Multi-layer LSTM-based Approach for Robot Command Interaction Modeling）</news:title>
   <news:publication_date>2026-07-05T02:08:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708219</loc>
  <lastmod>2026-07-05T02:08:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>チームメイトの動的共同方策のモデリング（Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG）</news:title>
   <news:publication_date>2026-07-05T02:08:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708217</loc>
  <lastmod>2026-07-05T02:07:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的学習の理論解析（Theoretical Analysis of Adversarial Learning: A Minimax Approach）</news:title>
   <news:publication_date>2026-07-05T02:07:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708215</loc>
  <lastmod>2026-07-05T02:07:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一次元強相互作用量子気体における対称性と相関（Symmetries and Correlations in Strongly Interacting One-dimensional Quantum Gases）</news:title>
   <news:publication_date>2026-07-05T02:07:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708213</loc>
  <lastmod>2026-07-05T02:07:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模分散SGDによる超高速ImageNet学習（Massively Distributed SGD: ImageNet/ResNet-50 Training in a Flash）</news:title>
   <news:publication_date>2026-07-05T02:07:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708211</loc>
  <lastmod>2026-07-05T01:16:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単隠れ層ニューラルネットワークの誤差境界の鋭さ（On Sharpness of Error Bounds for Single Hidden Layer Feedforward Neural Networks）</news:title>
   <news:publication_date>2026-07-05T01:16:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708209</loc>
  <lastmod>2026-07-05T01:15:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習フレームワークとプラットフォームに関する実証的比較研究（An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms）</news:title>
   <news:publication_date>2026-07-05T01:15:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708207</loc>
  <lastmod>2026-07-05T01:14:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>空画像からの太陽光発電変動補償を学習する手法（Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy）</news:title>
   <news:publication_date>2026-07-05T01:14:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708205</loc>
  <lastmod>2026-07-05T01:14:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人の走行パターン認識に対する Faster R-CNN の応用（Application of Faster R-CNN Model on Human Running Pattern Recognitions）</news:title>
   <news:publication_date>2026-07-05T01:14:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708203</loc>
  <lastmod>2026-07-05T01:14:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>四方向畳み込み特徴による車両再識別（Vehicle Re-identification Using Quadruple Directional Deep Learning Features）</news:title>
   <news:publication_date>2026-07-05T01:14:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708201</loc>
  <lastmod>2026-07-05T01:14:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>旅行コスト予測のための再帰型マルチグラフニューラルネットワーク（Recurrent Multi-Graph Neural Networks for Travel Cost Prediction）</news:title>
   <news:publication_date>2026-07-05T01:14:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708199</loc>
  <lastmod>2026-07-05T01:13:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Garbage In, Reward Out：ブートストラップ探索によるバンディット問題の再構築（Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits）</news:title>
   <news:publication_date>2026-07-05T01:13:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708197</loc>
  <lastmod>2026-07-05T00:22:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチフレームを用いた顔の対偽造における時間的・深度情報の活用（Exploiting temporal and depth information for multi-frame face anti-spoofing）</news:title>
   <news:publication_date>2026-07-05T00:22:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708195</loc>
  <lastmod>2026-07-05T00:13:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>英語・ヒンディー語混合ツイートにおけるヘイトスピーチ検出（Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models）</news:title>
   <news:publication_date>2026-07-05T00:13:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708193</loc>
  <lastmod>2026-07-05T00:13:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コミュニティ探索問題の系統的研究（Community Exploration: From Offline Optimization to Online Learning）</news:title>
   <news:publication_date>2026-07-05T00:13:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708191</loc>
  <lastmod>2026-07-05T00:12:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>停留点集合写像の感度解析（Sensitivity Analysis of a Stationary Point Set Map under Total Perturbations. Part 1: Lipschitzian Stability）</news:title>
   <news:publication_date>2026-07-05T00:12:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708189</loc>
  <lastmod>2026-07-05T00:12:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復符号化された空間変調検出の低計算量解法（A Variational Inference based Detection Method for Repetition Coded Generalized Spatial Modulation）</news:title>
   <news:publication_date>2026-07-05T00:12:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708187</loc>
  <lastmod>2026-07-05T00:11:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所的依存をモデル化するMulti-Channel RNN（Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks）</news:title>
   <news:publication_date>2026-07-05T00:11:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708185</loc>
  <lastmod>2026-07-05T00:11:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アフリカ言語へのニューラル機械翻訳の取り組み（Towards Neural Machine Translation for African Languages）</news:title>
   <news:publication_date>2026-07-05T00:11:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708183</loc>
  <lastmod>2026-07-04T23:20:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モデルに「質問させる」ことで可視化する学習機構（Interpreting Models by Allowing to Ask）</news:title>
   <news:publication_date>2026-07-04T23:20:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708181</loc>
  <lastmod>2026-07-04T23:20:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RNN-Transducerを用いた中国語音声認識の探究（Exploring RNN-Transducer for Chinese Speech Recognition）</news:title>
   <news:publication_date>2026-07-04T23:20:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708179</loc>
  <lastmod>2026-07-04T23:20:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>脳画像モダリティ融合によるアルツハイマー分類（Neuroimaging Modality Fusion in Alzheimer’s Classification Using Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-07-04T23:20:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708177</loc>
  <lastmod>2026-07-04T23:19:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二値多次元データから学ぶ確率的テンソル分解の最適性（Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality）</news:title>
   <news:publication_date>2026-07-04T23:19:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708175</loc>
  <lastmod>2026-07-04T23:19:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>振分け可能な変分フィルタリングの一般的方法（A General Method for Amortizing Variational Filtering）</news:title>
   <news:publication_date>2026-07-04T23:19:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708173</loc>
  <lastmod>2026-07-04T23:19:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>プライベートなモデル圧縮と知識蒸留の実装戦略（Private Model Compression via Knowledge Distillation）</news:title>
   <news:publication_date>2026-07-04T23:19:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708171</loc>
  <lastmod>2026-07-04T23:19:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非凸オンライン学習における局所的後悔（A Local Regret in Nonconvex Online Learning）</news:title>
   <news:publication_date>2026-07-04T23:19:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708169</loc>
  <lastmod>2026-07-04T22:27:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>UAVネットワークにおける分散協調スペクトラム共有と多エージェント強化学習（Distributed Cooperative Spectrum Sharing in UAV Networks Using Multi-Agent Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-04T22:27:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708167</loc>
  <lastmod>2026-07-04T22:27:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特徴量重要度に基づく動的スケーリングによるK近傍法の精度向上（Dynamic Feature Scaling for K-Nearest Neighbor Algorithm）</news:title>
   <news:publication_date>2026-07-04T22:27:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708165</loc>
  <lastmod>2026-07-04T22:27:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>nスタック・スチュワートプラットフォームの逆運動学と感度最小化（Inverse Kinematics and Sensitivity Minimization of an n-Stack Stewart Platform）</news:title>
   <news:publication_date>2026-07-04T22:27:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708163</loc>
  <lastmod>2026-07-04T22:27:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最適解の近傍にあるすべてのベイジアンネットワーク構造を探索する方法（Finding All Bayesian Network Structures within a Factor of Optimal）</news:title>
   <news:publication_date>2026-07-04T22:27:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708161</loc>
  <lastmod>2026-07-04T22:26:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所特徴パターンの活用による教師なしドメイン適応（Exploiting Local Feature Patterns for Unsupervised Domain Adaptation）</news:title>
   <news:publication_date>2026-07-04T22:26:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708159</loc>
  <lastmod>2026-07-04T22:26:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LookinGood: リアルタイムニューラル再レンダリングによるパフォーマンスキャプチャの高画質化（LookinGood: Enhancing Performance Capture with Real-time Neural Re-Rendering）</news:title>
   <news:publication_date>2026-07-04T22:26:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708157</loc>
  <lastmod>2026-07-04T22:26:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>惑星状星雲Lin49とTc1の赤外線スペクトル同定（Astronomical Infrared Spectrum of Planetary Nebula Lin49 and Tc1 Identified by Ionized Polycyclic-Pure-Carbon C23 and C60）</news:title>
   <news:publication_date>2026-07-04T22:26:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708155</loc>
  <lastmod>2026-07-04T21:34:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顔表情合成によるデータ拡張法（Deep Neural Network Augmentation: Generating Faces for Affect Analysis）</news:title>
   <news:publication_date>2026-07-04T21:34:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708153</loc>
  <lastmod>2026-07-04T21:34:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T21:34:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708151</loc>
  <lastmod>2026-07-04T21:34:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時間的点過程を強化学習で学習する（Learning Temporal Point Processes via Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-04T21:34:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708149</loc>
  <lastmod>2026-07-04T21:33:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T21:33:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708147</loc>
  <lastmod>2026-07-04T21:33:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T21:33:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708145</loc>
  <lastmod>2026-07-04T21:33:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知語の分散表現の誘導（Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces）</news:title>
   <news:publication_date>2026-07-04T21:33:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708143</loc>
  <lastmod>2026-07-04T21:32:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T21:32:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708141</loc>
  <lastmod>2026-07-04T20:41:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T20:41:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708139</loc>
  <lastmod>2026-07-04T20:41:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T20:41:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708137</loc>
  <lastmod>2026-07-04T20:40:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T20:40:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708135</loc>
  <lastmod>2026-07-04T20:39:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T20:39:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708133</loc>
  <lastmod>2026-07-04T20:39:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T20:39:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708131</loc>
  <lastmod>2026-07-04T20:39:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T20:39:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708129</loc>
  <lastmod>2026-07-04T20:39:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708127</loc>
  <lastmod>2026-07-04T19:47:39Z</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>
   <news:publication_date>2026-07-04T19:47:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708125</loc>
  <lastmod>2026-07-04T19:47:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T19:47:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708123</loc>
  <lastmod>2026-07-04T19:47:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T19:47:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708121</loc>
  <lastmod>2026-07-04T19:46:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708119</loc>
  <lastmod>2026-07-04T19:46:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T19:46:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708117</loc>
  <lastmod>2026-07-04T19:45:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T19:45:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708115</loc>
  <lastmod>2026-07-04T19:45:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708113</loc>
  <lastmod>2026-07-04T18:54:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T18:54:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708111</loc>
  <lastmod>2026-07-04T18:54:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708109</loc>
  <lastmod>2026-07-04T18:54:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708107</loc>
  <lastmod>2026-07-04T18:53:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PositiveとUnlabeledデータから学ぶ方法（Learning From Positive and Unlabeled Data: A Survey）</news:title>
   <news:publication_date>2026-07-04T18:53:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708105</loc>
  <lastmod>2026-07-04T18:52:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T18:52:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708103</loc>
  <lastmod>2026-07-04T18:52:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
  </news:news>
 </url>
 <url>
  <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>
  </news:news>
 </url>
 <url>
  <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>
  </news:news>
 </url>
 <url>
  <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>
  </news:news>
 </url>
 <url>
  <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>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708093</loc>
  <lastmod>2026-07-04T18:00:23Z</lastmod>
  <news:news>
   <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>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708091</loc>
  <lastmod>2026-07-04T18:00:04Z</lastmod>
  <news:news>
   <news:publication>
    <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>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708089</loc>
  <lastmod>2026-07-04T17:59:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <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>
   <news:publication_date>2026-07-04T17:59:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708087</loc>
  <lastmod>2026-07-04T17:59:31Z</lastmod>
  <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>
  </news:news>
 </url>
 <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>
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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>2026-07-04T14:20:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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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>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708037</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>
  </news:news>
 </url>
 <url>
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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: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>
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  <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>
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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:publication_date>2026-07-04T14:19:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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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: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>
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  <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>
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  <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>
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  <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>
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  <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>
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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:publication_date>2026-07-04T13:26:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <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: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>
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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>
 <url>
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  <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>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <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>
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  <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>
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  <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>
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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>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/708003</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: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>
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  <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>
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  <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>
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  <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>
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  <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>
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  <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>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/707991</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:publication_date>2026-07-04T11:39:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <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: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>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <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>
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 </url>
 <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>
 <url>
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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>
 <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>
 <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>
 <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>
 <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>
 <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>
 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 </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>
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 <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>
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   <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>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
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