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   <news:title>マスク認識を取り入れた群衆カウントの新手法（Mask-aware networks for crowd counting）</news:title>
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   <news:title>単一画像からのHDR再構成のためのハイブリッド損失（Hybrid Loss for Learning Single-Image-based HDR Reconstruction）</news:title>
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   <news:title>BANDNET：RNNによるビートルズ風マルチ楽器MIDI作曲機（BANDNET: A NEURAL NETWORK-BASED, MULTI-INSTRUMENT BEATLES-STYLE MIDI MUSIC COMPOSITION MACHINE）</news:title>
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   <news:title>深層ニューラルネットワークの安全性と信頼性に関するサーベイ（A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability）</news:title>
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   <news:title>グループ行動認識のためのマルチレベル系列GAN（Multi-Level Sequence GAN for Group Activity Recognition）</news:title>
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   <news:title>網膜血管の自動抽出とその意義（Retinal Vessel Segmentation based on Fully Convolutional Neural Networks）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>注意重みを用いたプライベート言語モデルの連合学習（Learning Private Neural Language Modeling with Attentive Aggregation）</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>デモから制約を学ぶ (Learning Constraints from Demonstrations)</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>OCT画像の公開データベースが変える臨床研究とAI開発（OCTID: Optical Coherence Tomography Image Database）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>メタ強化学習によるニューラルアーキテクチャ探索の総覧 (A Review of Meta-Reinforcement Learning for Deep Neural Networks Architecture Search)</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>Atariモデルズーによる深層強化学習エージェントの可視化と比較（An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
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   <news:title>ファジーハッシュの学習化による堅牢なファイル類似度計測（Fuzzy Hashing as Perturbation-Consistent Adversarial Kernel Embedding）</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>属性確率木を用いた畳み込みニューラルネットワークによる表情認識（Probabilistic Attribute Tree in Convolutional Neural Networks for Facial Expression Recognition）</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>生物学に着想を得た神経ダイナミクスを組み込む深層学習（Deep learning incorporating biologically-inspired neural dynamics）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>確率制約非線形計画問題の効率的フロンティア近似の確率近似法 (A stochastic approximation method for approximating the efficient frontier of chance-constrained nonlinear programs)</news:title>
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   <news:title>広域迅速深度サーベイのための賢く色彩豊かな観測戦略（A Smart and Colorful Cadence for the Wide-Fast Deep Survey）</news:title>
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    <news:language>ja</news:language>
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   <news:title>回転表現の連続性がニューラルネットワークに与える影響（On the Continuity of Rotation Representations in Neural Networks）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>強化学習における報酬のファジィ制御による手書き数字認識（Fuzzy Reward Control for Reinforcement Learning in Handwritten Digit Recognition）</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>マルサス的強化学習（Malthusian Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-18T22:59:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-18T22:58:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>楽器非依存のダスタガ認識を実現するAzarNet（Instrument-Independent Dastgah Recognition of Iranian Classical Music Using AzarNet）</news:title>
   <news:publication_date>2026-07-18T22:58:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-18T22:08:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アンバランスなデータにおけるマルチインスタンス学習の有効性（Multi Instance Learning For Unbalanced Data）</news:title>
   <news:publication_date>2026-07-18T22:08:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-18T22:08:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>ペルシア語音素認識の実装と評価（Persian phonemes recognition using PPNet）</news:title>
   <news:publication_date>2026-07-18T22:08:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-18T22:07:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RGB-Dスキャンの3Dセマンティックインスタンスセグメンテーション（3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans）</news:title>
   <news:publication_date>2026-07-18T22:07:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-18T22:07:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフの位相を学習することで進化するドメイン適応（Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm）</news:title>
   <news:publication_date>2026-07-18T22:07:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/713344</loc>
  <lastmod>2026-07-18T22:06:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>h → c c̄ γ によるチャームクォーク・ユカワ結合の探索（Charm-quark Yukawa Coupling in h → c c̄ γ at LHC）</news:title>
   <news:publication_date>2026-07-18T22:06:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>ペルシア語母音認識におけるMFCCとANNの応用（Persian Vowel recognition with MFCC and ANN on PCVC speech dataset）</news:title>
   <news:publication_date>2026-07-18T22:06:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-07-18T22:06:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>宇宙初期における大質量休眠銀河の形成史（Massive Dead Galaxies at z ∼2 with HST Grism Spectroscopy）</news:title>
   <news:publication_date>2026-07-18T22:06:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/713338</loc>
  <lastmod>2026-07-18T21:15:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>肺IMRT患者に対する3次元線量予測とビーム構成の頑健学習（Three-Dimensional Dose Prediction for Lung IMRT Patients with Deep Neural Networks: Robust Learning from Heterogeneous Beam Configurations）</news:title>
   <news:publication_date>2026-07-18T21:15:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713336</loc>
  <lastmod>2026-07-18T21:15:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SparseVMによる臨床用スパース3D画像の高速登録（Fast Learning-based Registration of Sparse 3D Clinical Images）</news:title>
   <news:publication_date>2026-07-18T21:15:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713334</loc>
  <lastmod>2026-07-18T21:14:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エネルギー効率を最大化する無線ネットワークの大域最適電力制御（A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks）</news:title>
   <news:publication_date>2026-07-18T21:14:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713332</loc>
  <lastmod>2026-07-18T21:14:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>TOP-GANによる少数データでのラベルフリー癌細胞分類（TOP-GAN: Label-free cancer cell classification using deep learning with a small training set）</news:title>
   <news:publication_date>2026-07-18T21:14:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713330</loc>
  <lastmod>2026-07-18T21:14:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テンソルアンサンブル学習による多次元データ処理の革新（Tensor Ensemble Learning for Multidimensional Data）</news:title>
   <news:publication_date>2026-07-18T21:14:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713328</loc>
  <lastmod>2026-07-18T21:13:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ユーザ結合と負荷分散を深層学習で実現する（User Association and Load Balancing for Massive MIMO through Deep Learning）</news:title>
   <news:publication_date>2026-07-18T21:13:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713326</loc>
  <lastmod>2026-07-18T21:13:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>条件付ファシーズモデルの頑健なパラメータ化に向けて（Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother）</news:title>
   <news:publication_date>2026-07-18T21:13:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713324</loc>
  <lastmod>2026-07-18T20:22:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>改良型Deep Belief Networkによる道路安全解析（An Improved Deep Belief Network Model for Road Safety Analyses）</news:title>
   <news:publication_date>2026-07-18T20:22:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713322</loc>
  <lastmod>2026-07-18T20:14:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散D-MIMO Wi‑Fiネットワークにおけるスループット最適化を目指すDRL応用（Optimizing Throughput Performance in Distributed MIMO Wi-Fi Networks using Deep Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-18T20:14:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713320</loc>
  <lastmod>2026-07-18T20:14:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多目的学習による自然言語理解の改善（Multi-task learning to improve natural language understanding）</news:title>
   <news:publication_date>2026-07-18T20:14:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713318</loc>
  <lastmod>2026-07-18T20:13:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RGBと深度の共通表現を学ぶ（Learning Common Representation from RGB and Depth Images）</news:title>
   <news:publication_date>2026-07-18T20:13:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713316</loc>
  <lastmod>2026-07-18T20:12:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>平均化パラメータ化されたベイズ非負二値行列分解の要点（Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization）</news:title>
   <news:publication_date>2026-07-18T20:12:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713314</loc>
  <lastmod>2026-07-18T20:12:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>逆合成アルゴリズムの現代的再構成（Taking a Deeper Look at the Inverse Compositional Algorithm）</news:title>
   <news:publication_date>2026-07-18T20:12:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713312</loc>
  <lastmod>2026-07-18T20:12:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生の波形から文字を予測する完全畳み込み音声認識（Fully Convolutional Speech Recognition）</news:title>
   <news:publication_date>2026-07-18T20:12:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713310</loc>
  <lastmod>2026-07-18T19:21:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自然言語の深い潜在変数モデル入門（A Tutorial on Deep Latent Variable Models of Natural Language）</news:title>
   <news:publication_date>2026-07-18T19:21:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713308</loc>
  <lastmod>2026-07-18T19:12:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>事前学習済み深層畳み込みニューラルネットワークを用いた冬期路面状態認識（Winter Road Surface Condition Recognition Using a Pre-trained Deep Convolutional Neural Network）</news:title>
   <news:publication_date>2026-07-18T19:12:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713306</loc>
  <lastmod>2026-07-18T19:12:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>脳–コンピュータ間の転移学習と敵対的変分オートエンコーダ（Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders）</news:title>
   <news:publication_date>2026-07-18T19:12:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713304</loc>
  <lastmod>2026-07-18T19:11:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AlphaGoにおけるベイズ最適化の実務的意義（Bayesian Optimization in AlphaGo）</news:title>
   <news:publication_date>2026-07-18T19:11:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713302</loc>
  <lastmod>2026-07-18T19:11:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ボヤジアン星の光度低下時における高分解能分光観測（High-resolution spectroscopy of Boyajian’s star during optical dimming events）</news:title>
   <news:publication_date>2026-07-18T19:11:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713300</loc>
  <lastmod>2026-07-18T19:11:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RGB-Dパッチ表現による顔認識（Discriminant Patch Representation for RGB-D Face Recognition Using Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-07-18T19:11:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713298</loc>
  <lastmod>2026-07-18T19:10:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチスケール顔特徴から漢方処方を生成する畳み込み手法（Convolutional herbal prescription building method from multi-scale facial features）</news:title>
   <news:publication_date>2026-07-18T19:10:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713296</loc>
  <lastmod>2026-07-18T18:19:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多粒子干渉で測るヒルベルト空間の距離（Measuring distances in Hilbert space by many-particle interference）</news:title>
   <news:publication_date>2026-07-18T18:19:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713294</loc>
  <lastmod>2026-07-18T18:19:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非対話型ローカル差分プライバシー下における線形モデル学習の実現（Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations）</news:title>
   <news:publication_date>2026-07-18T18:19:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713292</loc>
  <lastmod>2026-07-18T18:19:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>四元数畳み込みニューラルネットワークによる3D音響イベントの検出と局在化（QUATERNION CONVOLUTIONAL NEURAL NETWORKS FOR DETECTION AND LOCALIZATION OF 3D SOUND EVENTS）</news:title>
   <news:publication_date>2026-07-18T18:19:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713290</loc>
  <lastmod>2026-07-18T18:19:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テラヘルツ領域におけるフーリエ単一画素イメージング（Fourier single-pixel imaging in the terahertz regime）</news:title>
   <news:publication_date>2026-07-18T18:19:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713288</loc>
  <lastmod>2026-07-18T18:19:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Variational Autoencodersが偶然PCA方向を追う理由（Variational Autoencoders Pursue PCA Directions (by Accident))</news:title>
   <news:publication_date>2026-07-18T18:19:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713286</loc>
  <lastmod>2026-07-18T18:18:49Z</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のトレーサビリティ（Traceability of Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-18T18:18:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713284</loc>
  <lastmod>2026-07-18T18:18:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>衛星画像から犯罪マップを作る試み（Crime Mapping from Satellite Imagery via Deep Learning）</news:title>
   <news:publication_date>2026-07-18T18:18:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713282</loc>
  <lastmod>2026-07-18T17:27:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>相転移を定量的に調べるための機械学習の普遍性（Machine Learning as a universal tool for quantitative investigations of phase transitions）</news:title>
   <news:publication_date>2026-07-18T17:27:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713280</loc>
  <lastmod>2026-07-18T17:27:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>効率的なスパース盲分離のヒューリスティクス（Heuristics for Efficient Sparse Blind Source Separation）</news:title>
   <news:publication_date>2026-07-18T17:27:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713278</loc>
  <lastmod>2026-07-18T17:26:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈に惑わされない画像認識の作り方（Not Using the Car to See the Sidewalk – Quantifying and Controlling the Effects of Context in Classification and Segmentation）</news:title>
   <news:publication_date>2026-07-18T17:26:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713276</loc>
  <lastmod>2026-07-18T17:26:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ICU患者における敗血症予測とバイタルサインの重要度ランキング（Sepsis Prediction and Vital Signs Ranking in Intensive Care Unit Patients）</news:title>
   <news:publication_date>2026-07-18T17:26:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713274</loc>
  <lastmod>2026-07-18T17:26:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンライン上の女性蔑視検出（Hateminers : Detecting Hate speech against Women）</news:title>
   <news:publication_date>2026-07-18T17:26:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713272</loc>
  <lastmod>2026-07-18T17:25:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Conditional BERTによる文脈的増強（Conditional BERT Contextual Augmentation）</news:title>
   <news:publication_date>2026-07-18T17:25:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713270</loc>
  <lastmod>2026-07-18T17:25:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルネットワークによる適応量子状態トモグラフィ（Adaptive Quantum State Tomography with Neural Networks）</news:title>
   <news:publication_date>2026-07-18T17:25:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713268</loc>
  <lastmod>2026-07-18T16:34:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無線音響センサネットワークの多層エネルギー消費モデル（A multi-layered energy consumption model for smart wireless acoustic sensor networks）</news:title>
   <news:publication_date>2026-07-18T16:34:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713266</loc>
  <lastmod>2026-07-18T16:23:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ノイズ下での頑健なグラフ学習（Robust Graph Learning from Noisy Data）</news:title>
   <news:publication_date>2026-07-18T16:23:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713264</loc>
  <lastmod>2026-07-18T16:23:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BachPropによる音楽生成学習（Learning to Generate Music with BachProp）</news:title>
   <news:publication_date>2026-07-18T16:23:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713262</loc>
  <lastmod>2026-07-18T16:22:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>解釈可能な行列補完：離散最適化によるアプローチ（Interpretable Matrix Completion: A Discrete Optimization Approach）</news:title>
   <news:publication_date>2026-07-18T16:22:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713260</loc>
  <lastmod>2026-07-18T16:22:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率分布のプライバシー保護型分散推定（Privacy-Preserving Distributed Parameter Estimation for Probability Distribution of Wind Power Forecast Error）</news:title>
   <news:publication_date>2026-07-18T16:22:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713258</loc>
  <lastmod>2026-07-18T16:22:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>安定なセーフ・スクリーニングと構造化辞書による高速ℓ1正則化（Stable safe screening and structured dictionaries for faster ℓ1 regularization）</news:title>
   <news:publication_date>2026-07-18T16:22:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713256</loc>
  <lastmod>2026-07-18T16:22:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>空間情報を組み入れたグラフ表現学習の開拓（Representation Learning for Spatial Graphs）</news:title>
   <news:publication_date>2026-07-18T16:22:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713254</loc>
  <lastmod>2026-07-18T15:30:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>堅牢な特徴工学による敵対的耐性分類器の設計（Designing Adversarially Resilient Classiﬁers using Resilient Feature Engineering）</news:title>
   <news:publication_date>2026-07-18T15:30:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713252</loc>
  <lastmod>2026-07-18T15:30:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>半教師あり学習によるmp-MRIデータ合成とStitchLayerの提案（Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization）</news:title>
   <news:publication_date>2026-07-18T15:30:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713250</loc>
  <lastmod>2026-07-18T15:29:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的ストレージ価格に基づく適応キャッシングの強化学習（Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing）</news:title>
   <news:publication_date>2026-07-18T15:29:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713248</loc>
  <lastmod>2026-07-18T15:29:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習学生ネットワークの特徴埋め込みによる効率化（Learning Student Networks via Feature Embedding）</news:title>
   <news:publication_date>2026-07-18T15:29:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713246</loc>
  <lastmod>2026-07-18T15:29:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最適な売買執行のためのダブルディープQラーニング（Double Deep Q-Learning for Optimal Execution）</news:title>
   <news:publication_date>2026-07-18T15:29:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713244</loc>
  <lastmod>2026-07-18T15:29:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異種データを統合するレコメンダーの深化（Deep Heterogeneous Autoencoders for Collaborative Filtering）</news:title>
   <news:publication_date>2026-07-18T15:29:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713242</loc>
  <lastmod>2026-07-18T15:28:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パーキンソン病患者の声紋認識による早期検出（Voiceprint recognition of Parkinson patients based on deep learning）</news:title>
   <news:publication_date>2026-07-18T15:28:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713240</loc>
  <lastmod>2026-07-18T14:37:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>製造業向け汎用エンドツーエンド診断フレームワーク（A General End-to-end Diagnosis Framework for Manufacturing Systems）</news:title>
   <news:publication_date>2026-07-18T14:37:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713238</loc>
  <lastmod>2026-07-18T14:37:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声-視覚コヒーレンスに基づく任意話者のトーキングフェイス生成（Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning）</news:title>
   <news:publication_date>2026-07-18T14:37:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713236</loc>
  <lastmod>2026-07-18T14:37:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低ランク・スパース部分空間クラスタリングにおける非凸正則化の展開（GMC and S0/ℓ0 Regularization for LRSSC）</news:title>
   <news:publication_date>2026-07-18T14:37:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713234</loc>
  <lastmod>2026-07-18T14:36:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>潜在ディリクレ配分を組み込んだGANによる多峰性画像生成（Latent Dirichlet Allocation in Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-07-18T14:36:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713232</loc>
  <lastmod>2026-07-18T14:36:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生物学的に妥当なスパイキングニューラルネットワークの教師あり学習法（A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule）</news:title>
   <news:publication_date>2026-07-18T14:36:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713230</loc>
  <lastmod>2026-07-18T14:35:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習による段階的トリプレットマージンで人物再識別を強化する（Learning Incremental Triplet Margin for Person Re-identification）</news:title>
   <news:publication_date>2026-07-18T14:35:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713228</loc>
  <lastmod>2026-07-18T14:35:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電子密度から学習して全エネルギーと力を補正する方法（Learning from the Density to Correct Total Energy and Forces in First Principle Simulations）</news:title>
   <news:publication_date>2026-07-18T14:35:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713226</loc>
  <lastmod>2026-07-18T13:45:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Defense-VAEによる高速で高精度な敵対的攻撃防御（Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks）</news:title>
   <news:publication_date>2026-07-18T13:45:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713224</loc>
  <lastmod>2026-07-18T13:44:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散型マルチユーザーモバイルエッジコンピューティングにおける深層強化学習によるオフロード戦略（Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach）</news:title>
   <news:publication_date>2026-07-18T13:44:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713222</loc>
  <lastmod>2026-07-18T13:44:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動てんかん発作検出に対する頑健な深層学習アプローチ（A Robust Deep Learning Approach for Automatic Classification of Seizures Against Non-seizures）</news:title>
   <news:publication_date>2026-07-18T13:44:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713220</loc>
  <lastmod>2026-07-18T13:43:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オートエンコーダ混合に基づく深層クラスタリング（Deep Clustering based on a Mixture of Autoencoders）</news:title>
   <news:publication_date>2026-07-18T13:43:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713218</loc>
  <lastmod>2026-07-18T13:43:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RGBビデオのみで高精度な行動認識を目指す方法（Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data）</news:title>
   <news:publication_date>2026-07-18T13:43:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713216</loc>
  <lastmod>2026-07-18T13:43:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>強烈なミュオンビームで迫る新物理の兆候（Charged Lepton Flavour Violation using Intense Muon Beams at Future Facilities）</news:title>
   <news:publication_date>2026-07-18T13:43:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713214</loc>
  <lastmod>2026-07-18T13:43:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>福祉実験評価で因果機械学習が付加する価値（What Is the Value Added by Using Causal Machine Learning Methods in a Welfare Experiment Evaluation?）</news:title>
   <news:publication_date>2026-07-18T13:43:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713212</loc>
  <lastmod>2026-07-18T12:51:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>NEOWISEデータの信頼性問題と応答（Response to Wright et al. 2018: Even More Serious Problems with NEOWISE）</news:title>
   <news:publication_date>2026-07-18T12:51:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713210</loc>
  <lastmod>2026-07-18T12:51:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高次モチーフを取り込むスペクトラルクラスタリングの理論（Higher-Order Spectral Clustering under Superimposed Stochastic Block Models）</news:title>
   <news:publication_date>2026-07-18T12:51:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713208</loc>
  <lastmod>2026-07-18T12:51:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非侵襲的皮膚温度推定法と皮膚感受性指数による深層学習アプローチ（Non-invasive measuring method of skin temperature based on skin sensitivity index and deep learning）</news:title>
   <news:publication_date>2026-07-18T12:51:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713206</loc>
  <lastmod>2026-07-18T12:50:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>加重誤分類損失下でのアンサンブル分類（Classification using Ensemble Learning under Weighted Misclassification Loss）</news:title>
   <news:publication_date>2026-07-18T12:50:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713204</loc>
  <lastmod>2026-07-18T12:50:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深く広いニューラルネットワークにおける局所最小の非引力領域（Non-attracting Regions of Local Minima in Deep and Wide Neural Networks）</news:title>
   <news:publication_date>2026-07-18T12:50:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713202</loc>
  <lastmod>2026-07-18T12:50:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>近接方策最適化に対する対数バリア法（A Logarithmic Barrier Method For Proximal Policy Optimization）</news:title>
   <news:publication_date>2026-07-18T12:50:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713200</loc>
  <lastmod>2026-07-18T12:50:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コード重複が機械学習に及ぼす悪影響（The Adverse Effects of Code Duplication in Machine Learning Models of Code）</news:title>
   <news:publication_date>2026-07-18T12:50:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713198</loc>
  <lastmod>2026-07-18T11:58:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ駆動の多忠実度融合とガウス過程の接続（Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion）</news:title>
   <news:publication_date>2026-07-18T11:58:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713196</loc>
  <lastmod>2026-07-18T11:58:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>デジタルニューロン：組込み向け畳み込みDNN推論アクセラレータ（Digital Neuron: A Hardware Inference Accelerator for Convolutional Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-18T11:58:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713194</loc>
  <lastmod>2026-07-18T11:57:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>炭素空孔の受容体準位と捕獲機構の解明（Acceptor levels of the carbon vacancy in 4H-SiC: combining Laplace deep level transient spectroscopy with density functional modeling）</news:title>
   <news:publication_date>2026-07-18T11:57:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713192</loc>
  <lastmod>2026-07-18T11:57:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラウドとエッジの協調推論のための自動チューニングニューラルネットワーク量子化フレームワーク (Auto-Tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge)</news:title>
   <news:publication_date>2026-07-18T11:57:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713190</loc>
  <lastmod>2026-07-18T11:57:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>関係の個数制約を埋め込む方法（Embedding Cardinality Constraints in Neural Link Predictors）</news:title>
   <news:publication_date>2026-07-18T11:57:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713188</loc>
  <lastmod>2026-07-18T11:57:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Use Case Pointに基づくソフトウェア生産性予測のアンサンブル手法（Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points）</news:title>
   <news:publication_date>2026-07-18T11:57:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713186</loc>
  <lastmod>2026-07-18T11:56:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>いつ・どこで？マイクロブログストリームによる行動優勢地点予測（When and Where?: Behavior Dominant Location Forecasting with Micro-blog Streams）</news:title>
   <news:publication_date>2026-07-18T11:56:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713184</loc>
  <lastmod>2026-07-18T11:05:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ゼロショット学習の分類器と典型例の合成（Classifier and Exemplar Synthesis for Zero-Shot Learning）</news:title>
   <news:publication_date>2026-07-18T11:05:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713182</loc>
  <lastmod>2026-07-18T11:05:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>外観と動きの深層統合によるモデルフリートラッキング（Model-free Tracking with Deep Appearance and Motion Features Integration）</news:title>
   <news:publication_date>2026-07-18T11:05:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713180</loc>
  <lastmod>2026-07-18T11:04:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚や対話を使わないビジュアル対話の示唆（Visual Dialogue without Vision or Dialogue）</news:title>
   <news:publication_date>2026-07-18T11:04:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713178</loc>
  <lastmod>2026-07-18T11:04:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドローン映像から人物の姿勢と軌跡を推定する手法（Human Pose and Path Estimation from Aerial Video using Dynamic Classifier Selection）</news:title>
   <news:publication_date>2026-07-18T11:04:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713176</loc>
  <lastmod>2026-07-18T11:04:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>NSCachingによる知識グラフ埋め込みの効率的負例サンプリング（NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding）</news:title>
   <news:publication_date>2026-07-18T11:04:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713174</loc>
  <lastmod>2026-07-18T11:04:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散特徴に基づく協調学習フレームワーク（FDML: A Collaborative Machine Learning Framework for Distributed Features）</news:title>
   <news:publication_date>2026-07-18T11:04:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713172</loc>
  <lastmod>2026-07-18T11:03:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不確実性を手がかりに問いを立てる（Uncertainty as a Guide to Asking Goal-oriented Questions）</news:title>
   <news:publication_date>2026-07-18T11:03:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713170</loc>
  <lastmod>2026-07-18T10:13:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>方策分布に基づく情報獲得の探索者（Gold Seeker: Information Gain from Policy Distributions for Goal-oriented Vision-and-Language Reasoning）</news:title>
   <news:publication_date>2026-07-18T10:13:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713168</loc>
  <lastmod>2026-07-18T10:12:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スペクトラルクラスタリングを最大マージンとレベルセットに結びつける研究（Connecting Spectral Clustering to Maximum Margins and Level Sets）</news:title>
   <news:publication_date>2026-07-18T10:12:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713166</loc>
  <lastmod>2026-07-18T10:12:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GPCRのバイオアクティブリガンドの自動発見（Automated discovery of GPCR bioactive ligands）</news:title>
   <news:publication_date>2026-07-18T10:12:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713164</loc>
  <lastmod>2026-07-18T10:11:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速MVAE: 混合音源の同時分離と分類（FAST MVAE: JOINT SEPARATION AND CLASSIFICATION OF MIXED SOURCES BASED ON MULTICHANNEL VARIATIONAL AUTOENCODER WITH AUXILIARY CLASSIFIER）</news:title>
   <news:publication_date>2026-07-18T10:11:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713162</loc>
  <lastmod>2026-07-18T10:11:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>事前学習済みCNN特徴を用いた表情認識の実務的示唆（Pre-Trained Convolutional Neural Network Features for Facial Expression Recognition）</news:title>
   <news:publication_date>2026-07-18T10:11:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713160</loc>
  <lastmod>2026-07-18T10:11:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アップリンクからダウンリンクへのチャネル知識転送（Deep UL2DL: Data-Driven Channel Knowledge Transfer from Uplink to Downlink）</news:title>
   <news:publication_date>2026-07-18T10:11:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713158</loc>
  <lastmod>2026-07-18T10:11:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>共変量シフト下でのPAC学習保証（PAC Learning Guarantees Under Covariate Shift）</news:title>
   <news:publication_date>2026-07-18T10:11:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713156</loc>
  <lastmod>2026-07-18T09:19:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>差分進化フレームワークにおけるPush and Pull探索の組み込み（Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems）</news:title>
   <news:publication_date>2026-07-18T09:19:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713154</loc>
  <lastmod>2026-07-18T09:19:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキスト効果転送のためのTET-GAN（TET-GAN: Text Effects Transfer via Stylization and Destylization）</news:title>
   <news:publication_date>2026-07-18T09:19:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713152</loc>
  <lastmod>2026-07-18T09:19:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二値化ニューラルネットワークによる効率的な超解像（Efficient Super Resolution Using Binarized Neural Network）</news:title>
   <news:publication_date>2026-07-18T09:19:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713150</loc>
  <lastmod>2026-07-18T09:19:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多段階ナレッジ活用共役勾配による到来方向推定（Direction Finding Based on Multi-Step Knowledge-Aided Iterative Conjugate Gradient Algorithms）</news:title>
   <news:publication_date>2026-07-18T09:19:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713148</loc>
  <lastmod>2026-07-18T09:18:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>信頼領域に基づく敵対的攻撃の効率化（Trust Region Based Adversarial Attack on Neural Networks）</news:title>
   <news:publication_date>2026-07-18T09:18:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713146</loc>
  <lastmod>2026-07-18T09:18:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>IoT向けリソース可変CNN自動合成（Resource-Scalable CNN Synthesis for IoT Applications）</news:title>
   <news:publication_date>2026-07-18T09:18:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713144</loc>
  <lastmod>2026-07-18T09:18:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Distill-NetによるIoT向けCNN蒸留（Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms）</news:title>
   <news:publication_date>2026-07-18T09:18:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713142</loc>
  <lastmod>2026-07-18T08:27:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数動作にまたがる行動品質評価（Action Quality Assessment Across Multiple Actions）</news:title>
   <news:publication_date>2026-07-18T08:27:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713140</loc>
  <lastmod>2026-07-18T08:27:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習の証明可能な限界（Provable Limitations of Deep Learning）</news:title>
   <news:publication_date>2026-07-18T08:27:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713138</loc>
  <lastmod>2026-07-18T08:26:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多様体上の幾何学的スキャッタリング（Geometric Scattering on Manifolds）</news:title>
   <news:publication_date>2026-07-18T08:26:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713136</loc>
  <lastmod>2026-07-18T08:26:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>摂動解析による敵対的事例生成の統一的枠組み（Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples）</news:title>
   <news:publication_date>2026-07-18T08:26:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713134</loc>
  <lastmod>2026-07-18T08:26:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>InverSynthによるシンセパラメータ推定の自動化（InverSynth: Deep Estimation of Synthesizer Parameter Configurations from Audio Signals）</news:title>
   <news:publication_date>2026-07-18T08:26:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713132</loc>
  <lastmod>2026-07-18T08:26:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意の最適な動的配分（Optimal Dynamic Allocation of Attention）</news:title>
   <news:publication_date>2026-07-18T08:26:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713130</loc>
  <lastmod>2026-07-18T08:25:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最大内積検索にバンディット戦略（A Bandit Approach to Maximum Inner Product Search）</news:title>
   <news:publication_date>2026-07-18T08:25:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713128</loc>
  <lastmod>2026-07-18T07:34:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ効率の高い自動チューニング（Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study）</news:title>
   <news:publication_date>2026-07-18T07:34:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713126</loc>
  <lastmod>2026-07-18T07:34:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分布的推定で協調学習を安定化する手法（Likelihood Quantile Networks for Coordinating Multi-Agent Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-18T07:34:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713124</loc>
  <lastmod>2026-07-18T07:34:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ピクセル単位の文脈注意による顕著領域検出（PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection）</news:title>
   <news:publication_date>2026-07-18T07:34:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713122</loc>
  <lastmod>2026-07-18T07:33:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>レーザープラズマ物理における理論検証と実験条件同定への機械学習の応用 (Employing machine learning for theory validation and identification of experimental conditions in laser-plasma physics)</news:title>
   <news:publication_date>2026-07-18T07:33:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713120</loc>
  <lastmod>2026-07-18T07:33:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高次元の代理モデリングと教師付き次元削減（Extending classical surrogate modelling to high dimensions through supervised dimensionality reduction: a data-driven approach）</news:title>
   <news:publication_date>2026-07-18T07:33:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713118</loc>
  <lastmod>2026-07-18T07:33:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リハビリ動作の生成と分類にGANを使う意義（Generative Adversarial Networks for Generation and Classification of Physical Rehabilitation Movement Episodes）</news:title>
   <news:publication_date>2026-07-18T07:33:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713116</loc>
  <lastmod>2026-07-18T07:32:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数課題を同時に最適化する遺伝的手法の発展（Multi-Tasking Genetic Algorithm for Fuzzy System Optimization）</news:title>
   <news:publication_date>2026-07-18T07:32:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713114</loc>
  <lastmod>2026-07-18T06:41:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>残差方策学習（Residual Policy Learning）</news:title>
   <news:publication_date>2026-07-18T06:41:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713112</loc>
  <lastmod>2026-07-18T06:41:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ʋ-SVR多項式カーネルによる新規ソフトウェアプロジェクトの欠陥密度予測（ʋ-SVR Polynomial Kernel for Predicting the Defect Density in New Software Projects）</news:title>
   <news:publication_date>2026-07-18T06:41:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713110</loc>
  <lastmod>2026-07-18T06:40:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習を用いたサイバーセキュリティ応用の短評 (A short review on Applications of Deep learning for Cyber security)</news:title>
   <news:publication_date>2026-07-18T06:40:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713108</loc>
  <lastmod>2026-07-18T06:40:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Wikipediaを使って単語と実体を数値化する実務ツールの要点解説（Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia）</news:title>
   <news:publication_date>2026-07-18T06:40:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713106</loc>
  <lastmod>2026-07-18T06:40:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダムフォレストの残差分散を安定的に推定する方法（Consistent Estimation of Residual Variance with Random Forest Out-Of-Bag Errors）</news:title>
   <news:publication_date>2026-07-18T06:40:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713104</loc>
  <lastmod>2026-07-18T06:40:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>限定角度下での高分解能位相トモグラフィの深層学習的再構成（High-Resolution Limited-Angle Phase Tomography of Dense Layered Objects Using Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-18T06:40:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713102</loc>
  <lastmod>2026-07-18T06:39:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>掌静脈認証用PVSNetの全体像と経営視点での評価（PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features）</news:title>
   <news:publication_date>2026-07-18T06:39:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713100</loc>
  <lastmod>2026-07-18T05:48:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>点群の変換不変表現を学ぶ3DTI-Net（3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN）</news:title>
   <news:publication_date>2026-07-18T05:48:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713098</loc>
  <lastmod>2026-07-18T05:38:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層的離散分布分解によるマッチ密度推定（Hierarchical Discrete Distribution Decomposition for Match Density Estimation）</news:title>
   <news:publication_date>2026-07-18T05:38:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713096</loc>
  <lastmod>2026-07-18T05:38:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Flatten-T Swishによる活性化関数の再考（Flatten-T Swish: a thresholded ReLU-Swish-like activation function for deep learning）</news:title>
   <news:publication_date>2026-07-18T05:38:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713094</loc>
  <lastmod>2026-07-18T05:38:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多変数常微分方程式アルゴリズムと対数凸密度のサンプリング理論（Algorithmic Theory of ODEs and Sampling from Well-conditioned Logconcave Densities）</news:title>
   <news:publication_date>2026-07-18T05:38:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713092</loc>
  <lastmod>2026-07-18T05:38:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドメイン間翻訳によるマルチドメイン推薦の新地平（Domain-to-Domain Translation Model for Recommender System）</news:title>
   <news:publication_date>2026-07-18T05:38:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713090</loc>
  <lastmod>2026-07-18T05:37:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Mapperグラフの比較におけるWasserstein系距離の拡張（Mapper Comparison with Wasserstein Metrics）</news:title>
   <news:publication_date>2026-07-18T05:37:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713088</loc>
  <lastmod>2026-07-18T05:37:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>均衡化した線形文脈バンディットの設計（Balanced Linear Contextual Bandits）</news:title>
   <news:publication_date>2026-07-18T05:37:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713086</loc>
  <lastmod>2026-07-18T04:46:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PCAを用いた構造化CNN設計の低労力手法（A Low Effort Approach to Structured CNN Design Using PCA）</news:title>
   <news:publication_date>2026-07-18T04:46:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713084</loc>
  <lastmod>2026-07-18T04:46:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチスペクトル畳み込みニューラルネットワークによる太陽電池表面欠陥検出（Multi-spectral Deep Convolutional Neural Network for Solar Cell Defect Detection）</news:title>
   <news:publication_date>2026-07-18T04:46:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713082</loc>
  <lastmod>2026-07-18T04:46:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ABCによる大規模CADモデルデータセット（ABC: A Big CAD Model Dataset For Geometric Deep Learning）</news:title>
   <news:publication_date>2026-07-18T04:46:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713080</loc>
  <lastmod>2026-07-18T04:46:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AKARI NEP領域におけるAGNのX線・赤外線関係と高遮蔽降着の探索（X-ray - Infrared relation of AGNs and search for highly obscured accretion in the AKARI NEP Field）</news:title>
   <news:publication_date>2026-07-18T04:46:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713078</loc>
  <lastmod>2026-07-18T04:45:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Markov等価下での因果同定（Causal Identification under Markov Equivalence）</news:title>
   <news:publication_date>2026-07-18T04:45:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713076</loc>
  <lastmod>2026-07-18T04:45:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復学習手順への差分プライバシー導入の一般的手法（A General Approach to Adding Differential Privacy to Iterative Training Procedures）</news:title>
   <news:publication_date>2026-07-18T04:45:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713074</loc>
  <lastmod>2026-07-18T04:45:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時系列集約ネットワークによる密ラベル行動認識の革新（TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition）</news:title>
   <news:publication_date>2026-07-18T04:45:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713072</loc>
  <lastmod>2026-07-18T03:54:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生物学的文脈と生化学イベントの文間関係抽出（Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts）</news:title>
   <news:publication_date>2026-07-18T03:54:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713070</loc>
  <lastmod>2026-07-18T03:54:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>屋内ニュートラルホスト向け共有スペクトラムアクセスの深層強化学習アーキテクチャ（Iris: Deep Reinforcement Learning Driven Shared Spectrum Access Architecture for Indoor Neutral-Host Small Cells）</news:title>
   <news:publication_date>2026-07-18T03:54:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713068</loc>
  <lastmod>2026-07-18T03:54:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>潜在部分空間を学習する変分オートエンコーダ（Learning Latent Subspaces in Variational Autoencoders）</news:title>
   <news:publication_date>2026-07-18T03:54:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713066</loc>
  <lastmod>2026-07-18T03:53:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模バッチ学習の経験的モデル (An Empirical Model of Large-Batch Training)</news:title>
   <news:publication_date>2026-07-18T03:53:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713064</loc>
  <lastmod>2026-07-18T03:53:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個人投資家のリスク予測における深層学習の有効性（Can Deep Learning Predict Risky Retail Investors?）</news:title>
   <news:publication_date>2026-07-18T03:53:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713062</loc>
  <lastmod>2026-07-18T03:53:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフ構造と協力ゲーム理論を用いた効率的な深層学習解釈（Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory）</news:title>
   <news:publication_date>2026-07-18T03:53:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713060</loc>
  <lastmod>2026-07-18T03:53:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>星団の消散と近傍のUV明るい過輝星が示すもの（The Dissolution of Clusters: What Can We Learn from Nearby, UV-bright, Overluminous Field Stars?）</news:title>
   <news:publication_date>2026-07-18T03:53:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713058</loc>
  <lastmod>2026-07-18T03:02:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>仕様誘導型安全検証法：フィードフォワードニューラルネットワーク向け（Specification-Guided Safety Verification for Feedforward Neural Networks）</news:title>
   <news:publication_date>2026-07-18T03:02:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713056</loc>
  <lastmod>2026-07-18T03:02:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少数ショットで固有表現を学ぶ手法の実用性（Few-shot classification in Named Entity Recognition Task）</news:title>
   <news:publication_date>2026-07-18T03:02:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713054</loc>
  <lastmod>2026-07-18T03:01:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バイアス緩和の後処理手法による個人公平性と集団公平性の両立（BIAS MITIGATION POST-PROCESSING FOR INDIVIDUAL AND GROUP FAIRNESS）</news:title>
   <news:publication_date>2026-07-18T03:01:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713052</loc>
  <lastmod>2026-07-18T03:01:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単眼画像からのパラメトリック・トップビュー表現（A Parametric Top-View Representation of Complex Road Scenes）</news:title>
   <news:publication_date>2026-07-18T03:01:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713050</loc>
  <lastmod>2026-07-18T03:01:21Z</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:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
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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>2026-07-18T03:01:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-07-18T02:10:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-07-18T02:10:00Z</news:publication_date>
   <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>
   </news:publication>
   <news:title>シミュレーションから縮尺モデル都市へ：自動車を用いたトラフィック制御のゼロショット方策転移（Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous Vehicles）</news:title>
   <news:publication_date>2026-07-18T02:09:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/713038</loc>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>Dopamine：深層強化学習のための研究フレームワーク（DOPAMINE: A RESEARCH FRAMEWORK FOR DEEP REINFORCEMENT LEARNING）</news:title>
   <news:publication_date>2026-07-18T02:09:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医療名詞認識と正規化を同時に学ぶ多タスク学習の枠組み（A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization）</news:title>
   <news:publication_date>2026-07-18T02:09:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-07-18T02:09:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>メタ学習と継続学習を和解させる—タスクのオンライン混合による適応（Reconciling meta-learning and continual learning with online mixtures of tasks）</news:title>
   <news:publication_date>2026-07-18T02:09:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713032</loc>
  <lastmod>2026-07-18T02:09:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>荷電流型深部非弾性散乱における単一ジェット生成のN3LO計算（Jet production in charged-current deep-inelastic scattering to third order in QCD）</news:title>
   <news:publication_date>2026-07-18T02:09:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/713030</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>注意モジュールによる映像音声同期判定の研究（On Attention Modules for Audio-Visual Synchronization）</news:title>
   <news:publication_date>2026-07-18T01:17:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713028</loc>
  <lastmod>2026-07-18T01:17:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非微分可能関数に対するBoosted DCアルゴリズム（The Boosted DC Algorithm for nonsmooth functions）</news:title>
   <news:publication_date>2026-07-18T01:17:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>非因子化変分推論が示した時系列モデルの新地平（Non-Factorised Variational Inference in Dynamical Systems）</news:title>
   <news:publication_date>2026-07-18T01:17:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/713024</loc>
  <lastmod>2026-07-18T01:16:48Z</lastmod>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-07-18T01:16:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713022</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>木を使った離散分布の最小最大推定（Discrete minimax estimation with trees）</news:title>
   <news:publication_date>2026-07-18T01:16:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713020</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>シミュレーションと実験をつなぐ転移学習の実践（Transfer learning to model inertial confinement fusion experiments）</news:title>
   <news:publication_date>2026-07-18T01:16:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713018</loc>
  <lastmod>2026-07-18T01:16:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>左心室機能と心筋量の自動定量化（Automatic quantification of the LV function and mass: a deep learning approach for cardiovascular MRI）</news:title>
   <news:publication_date>2026-07-18T01:16:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713015</loc>
  <lastmod>2026-07-18T00:25:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロスレスプーリングを用いた高性能超解像（Advanced Super-Resolution using Lossless Pooling Convolutional Networks）</news:title>
   <news:publication_date>2026-07-18T00:25:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713013</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>軌道データから学ぶ相互作用則の非パラメトリック推定（Nonparametric inference of interaction laws in systems of agents from trajectory data）</news:title>
   <news:publication_date>2026-07-18T00:24:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713011</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>大規模ランダム行列の積と深層ニューラルネットワークの勾配安定性（Products of Many Large Random Matrices and Gradients in Deep Neural Networks）</news:title>
   <news:publication_date>2026-07-18T00:24:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713009</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>確率的クラス固有判別解析（Probabilistic Class-Specific Discriminant Analysis）</news:title>
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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>
   <news:title>クラス平均ベクトルに着目したカーネル部分空間の設計（Class Mean Vector Component and Discriminant Analysis）</news:title>
   <news:publication_date>2026-07-18T00:24:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713005</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>2026-07-18T00:23:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713003</loc>
  <lastmod>2026-07-18T00:23:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ReLUユニットがしばしば死ぬ理由（Why ReLU Units Sometimes Die: Analysis of Single-Unit Error Backpropagation in Neural Networks）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/713001</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>Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach（Distributed Submodular Minimization over Networks: a Greedy Column Generation Approach）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712999</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>AllgathervのマルチGPU性能評価が示す実務的示唆（An Empirical Evaluation of Allgatherv on Multi-GPU Systems）</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>
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   <news:publication_date>2026-07-17T23:31:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/712995</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>
   <news:title>モデルフリーなエンドツーエンド通信システムの学習（Model-free Training of End-to-end Communication Systems）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712991</loc>
  <lastmod>2026-07-17T23:30:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈符号化変分オートエンコーダによる教師なし異常検知（Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712989</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>距離計量学習の入門と実践的意義（A TUTORIAL ON DISTANCE METRIC LEARNING: MATHEMATICAL FOUNDATIONS, ALGORITHMS, EXPERIMENTAL ANALYSIS, PROSPECTS AND CHALLENGES）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-07-17T22:38:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Plackett-Luceモデルの不確実性測定（Deep Plackett-Luce Model with Uncertainty Measurements）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712985</loc>
  <lastmod>2026-07-17T22:38:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>CEPCルミノメータにおける深層学習ベースのトラック再構築 (Deep learning based track reconstruction on CEPC luminometer)</news:title>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/712983</loc>
  <lastmod>2026-07-17T22:36:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>敵対的ペアを用いた単一チャネル盲信号分離への挑戦（TOWARDS UNSUPERVISED SINGLE-CHANNEL BLIND SOURCE SEPARATION USING ADVERSARIAL PAIR UNMIX-AND-REMIX）</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>
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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>
  <loc>https://aibr.jp/archives/712977</loc>
  <lastmod>2026-07-17T22:36:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>層ごとの特徴量配分を再考する（Rethinking Layer-wise Feature Amounts in Convolutional Neural Network Architectures）</news:title>
   <news:publication_date>2026-07-17T22:36:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712975</loc>
  <lastmod>2026-07-17T22:35:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>前方カメラを用いた車両縦制御のエンドツーエンド模倣学習（Imitation Learning for End to End Vehicle Longitudinal Control with Forward Camera）</news:title>
   <news:publication_date>2026-07-17T22:35:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712973</loc>
  <lastmod>2026-07-17T21:44:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電子鼻におけるドリフト補正の識別的部分空間射影法（Anti-drift in electronic nose via dimensionality reduction: a discriminative subspace projection approach）</news:title>
   <news:publication_date>2026-07-17T21:44:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712971</loc>
  <lastmod>2026-07-17T21:35:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>部分関数拡張が変える学習と性質検査の地平（Partial Function Extension with Applications to Learning and Property Testing）</news:title>
   <news:publication_date>2026-07-17T21:35:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712969</loc>
  <lastmod>2026-07-17T21:35:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドライバー注意監視における深層学習と顔の深度マップの統合（Combining Deep and Depth: Deep Learning and Face Depth Maps for Driver Attention Monitoring）</news:title>
   <news:publication_date>2026-07-17T21:35:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712967</loc>
  <lastmod>2026-07-17T21:35:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像中の文字認識を反復整形で解く新戦略（ESIR: End-to-end Scene Text Recognition via Iterative Image Rectification）</news:title>
   <news:publication_date>2026-07-17T21:35:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712965</loc>
  <lastmod>2026-07-17T21:34:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>化学進化モデルによる銀河の恒星集団合成（Stellar population synthesis of galaxies with chemical evolution model）</news:title>
   <news:publication_date>2026-07-17T21:34:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712963</loc>
  <lastmod>2026-07-17T21:34:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>半教師ありモノラル歌声分離（SEMI-SUPERVISED MONAURAL SINGING VOICE SEPARATION WITH A MASKING NETWORK TRAINED ON SYNTHETIC MIXTURES）</news:title>
   <news:publication_date>2026-07-17T21:34:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712961</loc>
  <lastmod>2026-07-17T21:34:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不確実性に対処する新しい損失関数による自動左心房セグメンテーション（Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation）</news:title>
   <news:publication_date>2026-07-17T21:34:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712959</loc>
  <lastmod>2026-07-17T20:42:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>左心房の高精度セグメンテーションのためのピラミッドネットワークとオンライン困難例抽出（Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation）</news:title>
   <news:publication_date>2026-07-17T20:42:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712957</loc>
  <lastmod>2026-07-17T20:42:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>満足化戦略による実務的な探索の保証（Guaranteed satisﬁcing and ﬁnite regret: Analysis of a cognitive satisﬁcing value function）</news:title>
   <news:publication_date>2026-07-17T20:42:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712955</loc>
  <lastmod>2026-07-17T20:42:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AdaFlow: ドメイン適応型密度推定器（ADAFlow: Domain-Adaptive Density Estimator with Application to Anomaly Detection and Unpaired Cross-Domain Translation）</news:title>
   <news:publication_date>2026-07-17T20:42:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712953</loc>
  <lastmod>2026-07-17T20:40:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モデル変異検査による敵対的サンプル検出（Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing）</news:title>
   <news:publication_date>2026-07-17T20:40:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712951</loc>
  <lastmod>2026-07-17T20:40:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PointPillarsによる高速点群エンコーダ（PointPillars: Fast Encoders for Object Detection from Point Clouds）</news:title>
   <news:publication_date>2026-07-17T20:40:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712949</loc>
  <lastmod>2026-07-17T20:40:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダムフォレストの確率推定を読み解く（Random Forest Probability Estimation: Making Sense of Random Forest Probabilities: a Kernel Perspective）</news:title>
   <news:publication_date>2026-07-17T20:40:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712947</loc>
  <lastmod>2026-07-17T20:40:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビデオベースの人物再識別における深層能動学習（Deep Active Learning for Video-based Person Re-identification）</news:title>
   <news:publication_date>2026-07-17T20:40:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712945</loc>
  <lastmod>2026-07-17T19:48:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分類するな、翻訳せよ：機械翻訳で解く多層Eコマース商品分類（Don’t Classify, Translate: Multi-Level E-Commerce Product Categorization Via Machine Translation）</news:title>
   <news:publication_date>2026-07-17T19:48:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712943</loc>
  <lastmod>2026-07-17T19:47:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習による弱レンズ質量マップのノイズ除去（Denoising Weak Lensing Mass Maps with Deep Learning）</news:title>
   <news:publication_date>2026-07-17T19:47:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712941</loc>
  <lastmod>2026-07-17T19:47:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>詳細アクセス軌跡を用いた学習行動解析（Using Detailed Access Trajectories for Learning Behavior Analysis）</news:title>
   <news:publication_date>2026-07-17T19:47:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712939</loc>
  <lastmod>2026-07-17T19:46:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コンテキスト対応機械学習に基づくIoTアナリティクス組込みエージェントモデル（An IoT Analytics Embodied Agent Model based on Context-Aware Machine Learning）</news:title>
   <news:publication_date>2026-07-17T19:46:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712937</loc>
  <lastmod>2026-07-17T19:46:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復型機械学習のための包括的最適化（HELIX: Holistic Optimization for Accelerating Iterative Machine Learning）</news:title>
   <news:publication_date>2026-07-17T19:46:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712935</loc>
  <lastmod>2026-07-17T19:45:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>科学文献からの情報抽出による手法推薦（Information Extraction from Scientific Literature for Method Recommendation）</news:title>
   <news:publication_date>2026-07-17T19:45:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712933</loc>
  <lastmod>2026-07-17T19:45:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スタックド・デノイジング・オートエンコーダを用いたベンガル数字認識の前処理（On Stacked Denoising Autoencoder based Pre-training of ANN for Isolated Handwritten Bengali Numerals Dataset Recognition）</news:title>
   <news:publication_date>2026-07-17T19:45:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712931</loc>
  <lastmod>2026-07-17T18:53:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>制約付きパラメータ推論の事後投影法（Posterior Projection for Inference in Constrained Spaces）</news:title>
   <news:publication_date>2026-07-17T18:53:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712929</loc>
  <lastmod>2026-07-17T18:53:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対の一様K安定性（On uniform K-stability of pairs）</news:title>
   <news:publication_date>2026-07-17T18:53:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712927</loc>
  <lastmod>2026-07-17T18:53:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層的ソフトマックスの有効性（Effectiveness of Hierarchical Softmax in Large Scale Classification Tasks）</news:title>
   <news:publication_date>2026-07-17T18:53:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712925</loc>
  <lastmod>2026-07-17T18:51:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トレーニングセットのカモフラージュ（Training Set Camouflage）</news:title>
   <news:publication_date>2026-07-17T18:51:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712923</loc>
  <lastmod>2026-07-17T18:51:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ReLUネットワークが訓練データから離れた地点で高信頼を出す理由とその緩和方法（Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem）</news:title>
   <news:publication_date>2026-07-17T18:51:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712921</loc>
  <lastmod>2026-07-17T18:51:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模グラフに効く確率的スペクトル埋め込み（Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint）</news:title>
   <news:publication_date>2026-07-17T18:51:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712919</loc>
  <lastmod>2026-07-17T18:51:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知の視覚関係の検出（Detecting Unseen Visual Relations Using Analogies）</news:title>
   <news:publication_date>2026-07-17T18:51:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712917</loc>
  <lastmod>2026-07-17T17:59:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習によるスパース化と収束解析（Convergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via ℓ1, ℓ0, and Transformed-ℓ1 Penalties）</news:title>
   <news:publication_date>2026-07-17T17:59:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712915</loc>
  <lastmod>2026-07-17T17:58:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二値ハイパーディメンショナル表現の埋め込み法が変えるMI-BCI（Exploring Embedding Methods in Binary Hyperdimensional Computing: A Case Study for Motor-Imagery based Brain–Computer Interfaces）</news:title>
   <news:publication_date>2026-07-17T17:58:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712913</loc>
  <lastmod>2026-07-17T17:58:30Z</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・インテント・スロットの結合表現学習（COUPLED REPRESENTATION LEARNING FOR DOMAINS, INTENTS AND SLOTS IN SPOKEN LANGUAGE UNDERSTANDING）</news:title>
   <news:publication_date>2026-07-17T17:58:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712911</loc>
  <lastmod>2026-07-17T17:57:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分割回帰モデリング (Split Regression Modeling)</news:title>
   <news:publication_date>2026-07-17T17:57:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712909</loc>
  <lastmod>2026-07-17T17:57:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高スループットがん薬スクリーニングにおける用量反応モデリング（Dose-response modeling in high-throughput cancer drug screenings: An end-to-end approach）</news:title>
   <news:publication_date>2026-07-17T17:57:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712907</loc>
  <lastmod>2026-07-17T17:57:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキストコーパスから社会的バイアスを測るための平滑化ファーストオーダー共起法（Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence）</news:title>
   <news:publication_date>2026-07-17T17:57:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712905</loc>
  <lastmod>2026-07-17T17:57:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GANとVAEの違いを読み解く検証的プローブ（A Probe Towards Understanding GAN and VAE Models）</news:title>
   <news:publication_date>2026-07-17T17:57:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712903</loc>
  <lastmod>2026-07-17T17:06:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所銀河群の矮小銀河における星形成履歴の洞察（The star formation histories of dwarf galaxies in Local Group cosmological simulations）</news:title>
   <news:publication_date>2026-07-17T17:06:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712901</loc>
  <lastmod>2026-07-17T17:05:27Z</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RNNによる系列予測（Sequence Prediction Using Spectral RNNs）</news:title>
   <news:publication_date>2026-07-17T17:05:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712899</loc>
  <lastmod>2026-07-17T17:05:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SIGNet: セマンティックインスタンスを利用した教師なし3D幾何認識（SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception）</news:title>
   <news:publication_date>2026-07-17T17:05:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712897</loc>
  <lastmod>2026-07-17T17:04:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>長編動画を正確に言い当てるための推論改良（Adversarial Inference for Multi-Sentence Video Description）</news:title>
   <news:publication_date>2026-07-17T17:04:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712895</loc>
  <lastmod>2026-07-17T17:04:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Boosted Dark Matterイベント生成モジュールの実装と意義（A Module For Boosted Dark Matter Event Generation in GENIE）</news:title>
   <news:publication_date>2026-07-17T17:04:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712893</loc>
  <lastmod>2026-07-17T17:04:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>結晶対称性のニューラルネットワーク分類（Neural Network-based Classification of Crystal Symmetries from X-Ray Diffraction Patterns）</news:title>
   <news:publication_date>2026-07-17T17:04:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712891</loc>
  <lastmod>2026-07-17T17:03:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子多フェルミオン輸送を機械学習で探る（Probing transport in quantum many-fermion simulations via quantum loop topography）</news:title>
   <news:publication_date>2026-07-17T17:03:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712889</loc>
  <lastmod>2026-07-17T16:12:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>若いコア崩壊型超新星残骸E0102の詳細解析（A DETAILED ARCHIVAL CHANDRA STUDY OF THE YOUNG CORE-COLLAPSE SUPERNOVA REMNANT 1E 0102.2-7219 IN THE SMALL MAGELLANIC CLOUD）</news:title>
   <news:publication_date>2026-07-17T16:12:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712887</loc>
  <lastmod>2026-07-17T16:12:35Z</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用いた軟組織の高速生体力学モデリング（Towards Fast Biomechanical Modeling of Soft Tissue Using Neural Networks）</news:title>
   <news:publication_date>2026-07-17T16:12:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712885</loc>
  <lastmod>2026-07-17T16:12:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超新星理論とニュートリノ物理の共進化史（A Brief History of the Co-evolution of Supernova Theory with Neutrino Physics）</news:title>
   <news:publication_date>2026-07-17T16:12:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712883</loc>
  <lastmod>2026-07-17T16:11:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>微分方程式の制約を解析的に埋め込む手法（Analytically Embedding Differential Equation Constraints into Least Squares Support Vector Machines using the Theory of Functional Connections）</news:title>
   <news:publication_date>2026-07-17T16:11:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712881</loc>
  <lastmod>2026-07-17T16:11:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RGBDスキャンからのシーン再構成：Learning-based ICPによる3D CAD配置（Scene Recomposition by Learning-based ICP）</news:title>
   <news:publication_date>2026-07-17T16:11:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712879</loc>
  <lastmod>2026-07-17T16:11:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非対称バタフライ速度の実現（Asymmetric butterfly velocities in Hamiltonian and circuit models）</news:title>
   <news:publication_date>2026-07-17T16:11:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712877</loc>
  <lastmod>2026-07-17T16:10:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>強い物質—光子相互作用に対する縮約密度行列アプローチ（Reduced Density-Matrix Approach to Strong Matter-Photon Interaction）</news:title>
   <news:publication_date>2026-07-17T16:10:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712875</loc>
  <lastmod>2026-07-17T15:19:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>探索意識的強化学習の再検討（Exploration Conscious Reinforcement Learning Revisited）</news:title>
   <news:publication_date>2026-07-17T15:19:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712873</loc>
  <lastmod>2026-07-17T15:19:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>長い動画における技能評価の順位認識時間的注意（The Pros and Cons: Rank-aware Temporal Attention for Skill Determination in Long Videos）</news:title>
   <news:publication_date>2026-07-17T15:19:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712871</loc>
  <lastmod>2026-07-17T15:18:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テトラッドとq理論（Tetrads and q-theory）</news:title>
   <news:publication_date>2026-07-17T15:18:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712869</loc>
  <lastmod>2026-07-17T15:17:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフ信号の低次元表現を変えるワッサースタイン重心（GRAPH SIGNAL REPRESENTATION WITH WASSERSTEIN BARYCENTERS）</news:title>
   <news:publication_date>2026-07-17T15:17:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712867</loc>
  <lastmod>2026-07-17T15:17:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習ベース制御のための予測的安全フィルタ（A predictive safety filter for learning-based control of constrained nonlinear dynamical systems）</news:title>
   <news:publication_date>2026-07-17T15:17:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712865</loc>
  <lastmod>2026-07-17T15:17:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時系列予測におけるデータ正規化の影響（Impact of Data Normalization on Deep Neural Network for Time Series Forecasting）</news:title>
   <news:publication_date>2026-07-17T15:17:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712863</loc>
  <lastmod>2026-07-17T15:16:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生波形からの音声・話者認識を簡素化するSincNet（SPEECH AND SPEAKER RECOGNITION FROM RAW WAVEFORM WITH SINCNET）</news:title>
   <news:publication_date>2026-07-17T15:16:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712861</loc>
  <lastmod>2026-07-17T14:26:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タッピング音で環境中の素材を地図化する（Material Mapping in Unknown Environments using Tapping Sound）</news:title>
   <news:publication_date>2026-07-17T14:26:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712859</loc>
  <lastmod>2026-07-17T14:25:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層顔画像検索の比較研究（Deep Face Image Retrieval: a Comparative Study with Dictionary Learning）</news:title>
   <news:publication_date>2026-07-17T14:25:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712857</loc>
  <lastmod>2026-07-17T14:25:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ベクトル層による教師なし画像分解（Unsupervised Image Decomposition in Vector Layers）</news:title>
   <news:publication_date>2026-07-17T14:25:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712855</loc>
  <lastmod>2026-07-17T14:25:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワーク構造の特徴学習（Learning Features of Network Structures Using Graphlets）</news:title>
   <news:publication_date>2026-07-17T14:25:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712853</loc>
  <lastmod>2026-07-17T14:24:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヒトの動作予測を長期化する空間時間インペインティング（Human Motion Prediction via Spatio-Temporal Inpainting）</news:title>
   <news:publication_date>2026-07-17T14:24:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712851</loc>
  <lastmod>2026-07-17T14:24:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ガウス過程深層信念ネットワーク（Gaussian Process Deep Belief Networks: A Smooth Generative Model of Shape with Uncertainty Propagation）</news:title>
   <news:publication_date>2026-07-17T14:24:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712849</loc>
  <lastmod>2026-07-17T14:24:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習ダイナミクスにおけるキメラ状態と反協調状態（Chimera and anticoordination states in learning dynamics）</news:title>
   <news:publication_date>2026-07-17T14:24:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712847</loc>
  <lastmod>2026-07-17T13:33:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>L2BoostingとLassoの差異（On the Differences between L2Boosting and the Lasso）</news:title>
   <news:publication_date>2026-07-17T13:33:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712845</loc>
  <lastmod>2026-07-17T13:23:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚運動と内部教師あり学習による物体認識の再考（Use of Visual Motion and Internal Supervision in Object Recognition）</news:title>
   <news:publication_date>2026-07-17T13:23:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712843</loc>
  <lastmod>2026-07-17T13:23:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ駆動型インタラクションレビュー：子ども向けEd-Techの推薦システム評価（Data-Driven Interaction Review of an Ed-Tech Application）</news:title>
   <news:publication_date>2026-07-17T13:23:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712841</loc>
  <lastmod>2026-07-17T13:22:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ピクセル単位分類のための難例生成（Generating Hard Examples for Pixel-wise Classification）</news:title>
   <news:publication_date>2026-07-17T13:22:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712839</loc>
  <lastmod>2026-07-17T13:22:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>同じだけど違う：Entity Linkingの困難度を遠隔監督で予測・理解する（Same but Different: Distant Supervision for Predicting and Understanding Entity Linking Difficulty）</news:title>
   <news:publication_date>2026-07-17T13:22:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712837</loc>
  <lastmod>2026-07-17T13:22:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動車領域における機械学習の検証と妥当性確認――安全に深層学習へ踏み出すために（Safely Entering the Deep: A Review of Verification and Validation for Machine Learning and a Challenge Elicitation in the Automotive Industry）</news:title>
   <news:publication_date>2026-07-17T13:22:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712835</loc>
  <lastmod>2026-07-17T13:21:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>読者コメントを取り入れた要約生成（Abstractive Text Summarization by Incorporating Reader Comments）</news:title>
   <news:publication_date>2026-07-17T13:21:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712833</loc>
  <lastmod>2026-07-17T12:30:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネプチューン大気における硫化水素の検出可能性（Probable detection of hydrogen sulphide (H2S) in Neptune’s atmosphere）</news:title>
   <news:publication_date>2026-07-17T12:30:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712831</loc>
  <lastmod>2026-07-17T12:30:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エッジにおける分散深層学習と協調キャッシュの提案（Distributed Deep Learning at the Edge: A Novel Proactive and Cooperative Caching Framework for Mobile Edge Networks）</news:title>
   <news:publication_date>2026-07-17T12:30:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712829</loc>
  <lastmod>2026-07-17T12:29:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>価値駆動エージェントにおける表現・正当化・説明（Representation, Justification and Explanation in a Value Driven Agent）</news:title>
   <news:publication_date>2026-07-17T12:29:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712827</loc>
  <lastmod>2026-07-17T12:29:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RNN-PUFによる機械学習攻撃耐性の強化（A 0.16PJ/BIT RECURRENT NEURAL NETWORK BASED PUF FOR ENHANCED MACHINE LEARNING ATTACK RESISTANCE）</news:title>
   <news:publication_date>2026-07-17T12:29:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712825</loc>
  <lastmod>2026-07-17T12:29:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>有限時間確率制御問題に対する深層ニューラルネットワーク法（Deep neural networks algorithms for stochastic control problems on finite horizon: numerical applications）</news:title>
   <news:publication_date>2026-07-17T12:29:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712823</loc>
  <lastmod>2026-07-17T12:29:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>公的統計における機械学習の実務的適用と課題（Machine Learning in Official Statistics）</news:title>
   <news:publication_date>2026-07-17T12:29:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712821</loc>
  <lastmod>2026-07-17T12:28:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepCruiserに学ぶ状態を持つ深層学習のテスト自動化（DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems）</news:title>
   <news:publication_date>2026-07-17T12:28:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712819</loc>
  <lastmod>2026-07-17T11:37:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>全方向特徴学習による人物再識別（Omni-directional Feature Learning for Person Re-identification）</news:title>
   <news:publication_date>2026-07-17T11:37:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712817</loc>
  <lastmod>2026-07-17T11:27:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>事前学習モデルと半教師あり学習が出会うとき（When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets）</news:title>
   <news:publication_date>2026-07-17T11:27:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712815</loc>
  <lastmod>2026-07-17T11:27:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像から人間関係を読み解く技術（Visual Social Relationship Recognition）</news:title>
   <news:publication_date>2026-07-17T11:27:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712813</loc>
  <lastmod>2026-07-17T11:26:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低データ領域の固有表現認識を変える動的転移学習（Dynamic Transfer Learning for Named Entity Recognition）</news:title>
   <news:publication_date>2026-07-17T11:26:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712811</loc>
  <lastmod>2026-07-17T11:26:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>IRLAS：逆強化学習を用いたニューラルアーキテクチャ探索（IRLAS: Inverse Reinforcement Learning for Architecture Search）</news:title>
   <news:publication_date>2026-07-17T11:26:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712809</loc>
  <lastmod>2026-07-17T11:26:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>指背（フィンガードーサル）バイオメトリクスの取消可能テンプレート生成（FDFNet : A Secure Cancelable Deep Finger Dorsal Template Generation Network Secured via. Bio-Hashing）</news:title>
   <news:publication_date>2026-07-17T11:26:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712807</loc>
  <lastmod>2026-07-17T11:25:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動運転接続車のサイバーフィジカル安全性――最適制御とマルチアームドバンディット学習の融合（Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning）</news:title>
   <news:publication_date>2026-07-17T11:25:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712805</loc>
  <lastmod>2026-07-17T10:34:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチエージェントのための通信学習フレームワーク（Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems）</news:title>
   <news:publication_date>2026-07-17T10:34:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712803</loc>
  <lastmod>2026-07-17T10:25:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>臨床文書における概念抽出とアサーション検出の統合（Joint Entity Extraction and Assertion Detection for Clinical Text）</news:title>
   <news:publication_date>2026-07-17T10:25:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712801</loc>
  <lastmod>2026-07-17T10:25:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>TEXTBUGGERによるテキストの敵対的攻撃（TEXTBUGGER: Generating Adversarial Text Against Real-world Applications）</news:title>
   <news:publication_date>2026-07-17T10:25:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712799</loc>
  <lastmod>2026-07-17T10:25:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ELASTIC: CNNを改良する動的スケーリング方針（ELASTIC: Improving CNNs with Dynamic Scaling Policies）</news:title>
   <news:publication_date>2026-07-17T10:25:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712797</loc>
  <lastmod>2026-07-17T10:24:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712795</loc>
  <lastmod>2026-07-17T10:24:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Soft Actor-Criticの概要と実務的意義（Soft Actor-Critic Algorithms and Applications）</news:title>
   <news:publication_date>2026-07-17T10:24:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712793</loc>
  <lastmod>2026-07-17T10:23:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的フュージョンによる視覚質問応答の高精度化（Dynamic Fusion with Intra- and Inter-modality Attention Flow for Visual Question Answering）</news:title>
   <news:publication_date>2026-07-17T10:23:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712791</loc>
  <lastmod>2026-07-17T09:32:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習システムにおける公正性の現場ニーズ（Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?）</news:title>
   <news:publication_date>2026-07-17T09:32:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712789</loc>
  <lastmod>2026-07-17T09:32:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コード障害の予測とパターン抽出（Code Failure Prediction and Pattern Extraction using LSTM Networks）</news:title>
   <news:publication_date>2026-07-17T09:32:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712787</loc>
  <lastmod>2026-07-17T09:32:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MetaStyle――速度・柔軟性・品質の三者トレードオフを狙うニューラルスタイル転送（MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer）</news:title>
   <news:publication_date>2026-07-17T09:32:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712785</loc>
  <lastmod>2026-07-17T09:31:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インド古典舞踊のポーズ非依存シーケンス分類（Nrityantar: Pose oblivious Indian classical dance sequence classification system）</news:title>
   <news:publication_date>2026-07-17T09:31:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712783</loc>
  <lastmod>2026-07-17T09:31:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LIGOデータのノイズ過渡事象の起源を機械学習で特定する（Finding the origin of noise transients in LIGO data with machine learning）</news:title>
   <news:publication_date>2026-07-17T09:31:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712781</loc>
  <lastmod>2026-07-17T09:30:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>光を使う無線通信に深層学習を組み合わせる意義（Deep Learning Framework for Wireless Systems: Applications to Optical Wireless Communications）</news:title>
   <news:publication_date>2026-07-17T09:30:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712779</loc>
  <lastmod>2026-07-17T09:30:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深いNuSTARとXMM-Newton観測によるコモプトン厚AGNの確証（COMPTON-THICK AGN IN THE NuSTAR ERA IV: A DEEP NuSTAR AND XMM-NEWTON VIEW OF THE CANDIDATE COMPTON THICK AGN IN ESO 116-G018）</news:title>
   <news:publication_date>2026-07-17T09:30:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712777</loc>
  <lastmod>2026-07-17T08:39:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非滑らかな確率的勾配降下法の厳密解析（Tight analyses for non-smooth stochastic gradient descent）</news:title>
   <news:publication_date>2026-07-17T08:39:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712775</loc>
  <lastmod>2026-07-17T08:38:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>走行動画のエンドツーエンドセグメンテーションによる車線検出（End to End Video Segmentation for Driving: Lane Detection For Autonomous Car）</news:title>
   <news:publication_date>2026-07-17T08:38:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712773</loc>
  <lastmod>2026-07-17T08:38:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所確率モデルによるベイズ分類の一般化（Local Probabilistic Model for Bayesian Classification）</news:title>
   <news:publication_date>2026-07-17T08:38:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712771</loc>
  <lastmod>2026-07-17T08:37:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フリーハンドでできるガス同定（Free-hand gas identification based on transfer function ratios without gas flow control）</news:title>
   <news:publication_date>2026-07-17T08:37:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712769</loc>
  <lastmod>2026-07-17T08:36:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ノイズのあるラベルから学ぶ学習のメタトレーニング（Learning to Learn from Noisy Labeled Data）</news:title>
   <news:publication_date>2026-07-17T08:36:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712767</loc>
  <lastmod>2026-07-17T08:36:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>条件付きグラフニューラルプロセス（Conditional Graph Neural Processes）</news:title>
   <news:publication_date>2026-07-17T08:36:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/712765</loc>
  <lastmod>2026-07-17T08:35:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>事前学習言語モデル埋め込みを用いたRNNによるスロットフィリングの改善（Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling Task）</news:title>
   <news:publication_date>2026-07-17T08:35:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712763</loc>
  <lastmod>2026-07-17T07:44:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712761</loc>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-07-17T07:44:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712759</loc>
  <lastmod>2026-07-17T07:44:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模に拡張可能なSinkhorn距離の計算（Massively scalable Sinkhorn distances via the Nyström method）</news:title>
   <news:publication_date>2026-07-17T07:44:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712757</loc>
  <lastmod>2026-07-17T07:43:15Z</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>2026-07-17T07:43:15Z</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>2026-07-17T07:43:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712753</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>フィードバックアライメントを深層畳み込みネットワークに適用する手法（Feedback alignment in deep convolutional networks）</news:title>
   <news:publication_date>2026-07-17T07:42:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712751</loc>
  <lastmod>2026-07-17T07:42:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>COSMO K-コロノグラフ向けカメラの特性評価（Characterization of Cameras for the COSMO K-Coronagraph）</news:title>
   <news:publication_date>2026-07-17T07:42:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712749</loc>
  <lastmod>2026-07-17T06:50:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>突然変化する環境下における分散マルチプレーヤー多腕バンディット問題（On Distributed Multi-player Multiarmed Bandit Problems in Abruptly Changing Environment）</news:title>
   <news:publication_date>2026-07-17T06:50:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712747</loc>
  <lastmod>2026-07-17T06:41:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハイブリッド情報検索によるLessons Learned検索の改善（Searching for Relevant Lessons Learned Using Hybrid Information Retrieval Classifiers）</news:title>
   <news:publication_date>2026-07-17T06:41:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712745</loc>
  <lastmod>2026-07-17T06:40:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>同時多面イメージングと反響マルチフォトン顕微鏡（Simultaneous multiplane imaging with reverberation multiphoton microscopy）</news:title>
   <news:publication_date>2026-07-17T06:40:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712743</loc>
  <lastmod>2026-07-17T06:40:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepTractによる確率的白質線維トラクトグラフィ（DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography）</news:title>
   <news:publication_date>2026-07-17T06:40:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712741</loc>
  <lastmod>2026-07-17T06:39:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>回転するコンパクト連星合体のテンプレートバンク（Template bank for spinning compact binary mergers in the second observation run of Advanced LIGO and the first observation run of Advanced Virgo）</news:title>
   <news:publication_date>2026-07-17T06:39:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-07-17T06:39:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習過程における例の忘却の実証的研究（AN EMPIRICAL STUDY OF EXAMPLE FORGETTING DURING DEEP NEURAL NETWORK LEARNING）</news:title>
   <news:publication_date>2026-07-17T06:39:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712737</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>位置バイアスの推定法（Estimating Position Bias without Intrusive Interventions）</news:title>
   <news:publication_date>2026-07-17T06:39:00Z</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>
   <news:title>折り紙的3Dランドマーク表現による特徴抽出（Features Extraction Based on an Origami Representation of 3D Landmarks）</news:title>
   <news:publication_date>2026-07-17T05:48:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712733</loc>
  <lastmod>2026-07-17T05:47:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキストから画像合成における意味的関連性の敵対的学習（Adversarial Learning of Semantic Relevance in Text to Image Synthesis）</news:title>
   <news:publication_date>2026-07-17T05:47:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712731</loc>
  <lastmod>2026-07-17T05:47:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習による高効率フリーフォーム照明設計ツールの実装（Using machine learning to create high-efficiency freeform illumination design tools）</news:title>
   <news:publication_date>2026-07-17T05:47:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712729</loc>
  <lastmod>2026-07-17T05:46:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>急性心筋梗塞患者の1年死亡率を予測する計算モデルの構築（Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome）</news:title>
   <news:publication_date>2026-07-17T05:46:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712727</loc>
  <lastmod>2026-07-17T05:46:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オートエンコーダに基づく表現学習の最近の進展 (Recent Advances in Autoencoder-Based Representation Learning)</news:title>
   <news:publication_date>2026-07-17T05:46:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712725</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>非同期オンライン複数仮説検定の考え方（Asynchronous Online Testing of Multiple Hypotheses）</news:title>
   <news:publication_date>2026-07-17T05:46:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712723</loc>
  <lastmod>2026-07-17T05:46:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>真空と原子を結ぶ力の実像（Dispersion Interactions between Neutral Atoms and the Quantum Electrodynamical Vacuum）</news:title>
   <news:publication_date>2026-07-17T05:46:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712721</loc>
  <lastmod>2026-07-17T04:54:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分子と結晶のための汎用機械学習フレームワークとしてのグラフネットワーク (Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals)</news:title>
   <news:publication_date>2026-07-17T04:54:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712719</loc>
  <lastmod>2026-07-17T04:54:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MOOCsにおける無教師学習による特徴学習の実践的効果（Effective Feature Learning with Unsupervised Learning for Improving the Predictive Models in Massive Open Online Courses）</news:title>
   <news:publication_date>2026-07-17T04:54:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712717</loc>
  <lastmod>2026-07-17T04:54:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模公開オンライン講座における表現学習を用いた転移学習（Transfer Learning using Representation Learning in Massive Open Online Courses）</news:title>
   <news:publication_date>2026-07-17T04:54:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712715</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>モード同期とエラーフィールドの同時反復学習制御（Simultaneous iterative learning control of mode entrainment and error field）</news:title>
   <news:publication_date>2026-07-17T04:53:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712713</loc>
  <lastmod>2026-07-17T04:53:44Z</lastmod>
  <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>2026-07-17T04:53:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712711</loc>
  <lastmod>2026-07-17T04:53:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>レビュー向け構造化ニューラルトピックモデル（Structured Neural Topic Models for Reviews）</news:title>
   <news:publication_date>2026-07-17T04:53:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712709</loc>
  <lastmod>2026-07-17T04:53:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>合成データから学ぶセマンティックセグメンテーション（Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach）</news:title>
   <news:publication_date>2026-07-17T04:53:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712707</loc>
  <lastmod>2026-07-17T04:02:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バイアス・バリアンスのトレードオフとモデル選択（Bias-Variance Trade-off and Model Selection for Proton Radius Extractions）</news:title>
   <news:publication_date>2026-07-17T04:02:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712705</loc>
  <lastmod>2026-07-17T04:01:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トレーニングホイールで学習を加速する手法（Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning）</news:title>
   <news:publication_date>2026-07-17T04:01:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712703</loc>
  <lastmod>2026-07-17T04:01:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>L0頑健なスパースフーリエ変換が示した防御の枠組み（Thwarting Adversarial Examples: An L0-Robust Sparse Fourier Transform）</news:title>
   <news:publication_date>2026-07-17T04:01:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712701</loc>
  <lastmod>2026-07-17T04:00:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルプロセスによる混合効果ノルマティブモデリング（Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data）</news:title>
   <news:publication_date>2026-07-17T04:00:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712699</loc>
  <lastmod>2026-07-17T04:00:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アルツハイマー病重症度を低コスト脳波で推定するベイズ深層学習（Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer’s disease severity）</news:title>
   <news:publication_date>2026-07-17T04:00:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712697</loc>
  <lastmod>2026-07-17T04:00:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散近傍分類の実装と意義（Distributed Nearest Neighbor Classification）</news:title>
   <news:publication_date>2026-07-17T04:00:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <lastmod>2026-07-17T04:00:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-07-17T03:09:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>sGDMLによる分子力場の高精度・高効率化（sGDML: Constructing Accurate and Data Eﬃcient Molecular Force Fields Using 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>低次モーメントから差分プライバシーな経験分布を構築する手法（Construction of Differentially Private Empirical Distributions from a low-order Marginals Set through Solving Linear Equations with l2 Regularization）</news:title>
   <news:publication_date>2026-07-17T03:08:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712689</loc>
  <lastmod>2026-07-17T03:08:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低ランク二重確率行列分解に基づく単語埋め込み（Word Embedding based on Low-Rank Doubly Stochastic Matrix Decomposition）</news:title>
   <news:publication_date>2026-07-17T03:08:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712687</loc>
  <lastmod>2026-07-17T03:08:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ゲーティッド再帰ニューラルネットワークのベイズ的スパース化（Bayesian Sparsification of Gated Recurrent Neural Networks）</news:title>
   <news:publication_date>2026-07-17T03:08:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712685</loc>
  <lastmod>2026-07-17T03:08:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚ベースの注意度推定における主観的アノテーション（Subjective Annotations for Vision-Based Attention Level Estimation）</news:title>
   <news:publication_date>2026-07-17T03:08:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712683</loc>
  <lastmod>2026-07-17T03:07:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リアルタイム皮質シミュレーションのエネルギーとインターコネクトのスケーリング（Real-time cortical simulations: energy and interconnect scaling on distributed systems）</news:title>
   <news:publication_date>2026-07-17T03:07:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712681</loc>
  <lastmod>2026-07-17T03:07:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スタイルに基づく生成器アーキテクチャ（A Style-Based Generator Architecture for Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-07-17T03:07:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712679</loc>
  <lastmod>2026-07-17T02:16:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カルマンに基づくスペクトロ時的心電図解析と深層畳み込みネットワークによる心房細動検出（Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection）</news:title>
   <news:publication_date>2026-07-17T02:16:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712677</loc>
  <lastmod>2026-07-17T02:16:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>木構造クロンネッカー畳み込みネットワークによるセマンティックセグメンテーションの要点（Tree-structured Kronecker Convolutional Network for Semantic Segmentation）</news:title>
   <news:publication_date>2026-07-17T02:16:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712675</loc>
  <lastmod>2026-07-17T02:16:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>金属クラスターと吸着種のサイズ依存相互作用をDFTと機械学習で解く（Combining DFT with ML to study size specific interactions between metal clusters and adsorbates）</news:title>
   <news:publication_date>2026-07-17T02:16:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712673</loc>
  <lastmod>2026-07-17T02:15:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>野外の顔写真に対応する半教師あり顔スケッチ合成（Semi-Supervised Learning for Face Sketch Synthesis in the Wild）</news:title>
   <news:publication_date>2026-07-17T02:15:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712671</loc>
  <lastmod>2026-07-17T02:15:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>D2D通信における多人数多腕バンディットによる資源配分（Multi-Player Multi-Armed Bandit Based Resource Allocation for D2D Communications）</news:title>
   <news:publication_date>2026-07-17T02:15:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712669</loc>
  <lastmod>2026-07-17T02:15:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リストレベルのフィードバックで学ぶオンライン学習ランキング（Online Learning to Rank with List-level Feedback for Image Filtering）</news:title>
   <news:publication_date>2026-07-17T02:15:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712667</loc>
  <lastmod>2026-07-17T02:15:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>表面筋電図を用いた頸椎症識別の深層学習（EasiCSDeep: A deep learning model for Cervical Spondylosis Identification using surface electromyography signal）</news:title>
   <news:publication_date>2026-07-17T02:15:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712665</loc>
  <lastmod>2026-07-17T01:23:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>混合不確実性集合による頑健組合せ最適化（Mixed Uncertainty Sets for Robust Combinatorial Optimization）</news:title>
   <news:publication_date>2026-07-17T01:23:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712663</loc>
  <lastmod>2026-07-17T01:16:00Z</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における開かれた創発性の可能性（On the potential for open-endedness in neural networks）</news:title>
   <news:publication_date>2026-07-17T01:16:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712661</loc>
  <lastmod>2026-07-17T01:15:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>監視映像における個体ブタの自動検出と追跡（Automatic individual pig detection and tracking in surveillance videos）</news:title>
   <news:publication_date>2026-07-17T01:15:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712659</loc>
  <lastmod>2026-07-17T01:15:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LSSTによる銀河外潮汐ストリーム観測の要点整理（LSST Cadence Optimization White Paper in Support of Observations of Unresolved Tidal Stellar Streams in Galaxies beyond the Local Group）</news:title>
   <news:publication_date>2026-07-17T01:15:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712657</loc>
  <lastmod>2026-07-17T01:14:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>A3: コード例を用いたAndroid API移行支援（A3: Assisting Android API Migrations Using Code Examples）</news:title>
   <news:publication_date>2026-07-17T01:14:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712655</loc>
  <lastmod>2026-07-17T01:14:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子統計的推論の基礎と応用（Quantum Statistical Inference）</news:title>
   <news:publication_date>2026-07-17T01:14:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712653</loc>
  <lastmod>2026-07-17T01:13:58Z</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上の弱い・強い反イスラムヘイトの検出（Detecting weak and strong Islamophobic hate speech on social media）</news:title>
   <news:publication_date>2026-07-17T01:13:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712651</loc>
  <lastmod>2026-07-17T00:22:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Webブラウザ向けファズテストのための再帰型ニューラルネットワーク（Recurrent Neural Networks for Fuzz Testing Web Browsers）</news:title>
   <news:publication_date>2026-07-17T00:22:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712649</loc>
  <lastmod>2026-07-17T00:13:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>衛星画像で道路の安全性を判定する注意機構ネットワーク（Attentional Road Safety Networks）</news:title>
   <news:publication_date>2026-07-17T00:13:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712647</loc>
  <lastmod>2026-07-17T00:13:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無線センサネットワークにおける自己符号化器を用いた異常検知（Distributed Anomaly Detection using Autoencoder Neural Networks in WSN for IoT）</news:title>
   <news:publication_date>2026-07-17T00:13:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712645</loc>
  <lastmod>2026-07-17T00:12:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>継続的な心電図モニタリングを可能にする軽量LSTM分類（LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices）</news:title>
   <news:publication_date>2026-07-17T00:12:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712643</loc>
  <lastmod>2026-07-17T00:12:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Iris-GANによる虹彩画像生成（Iris-GAN: Learning to Generate Realistic Iris Images Using Convolutional GAN）</news:title>
   <news:publication_date>2026-07-17T00:12:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712641</loc>
  <lastmod>2026-07-17T00:11:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>弱いボソン生成における縦方向スピン非対称性の測定（Measurement of the longitudinal spin asymmetries for weak boson production in proton–proton collisions at √s = 510 GeV）</news:title>
   <news:publication_date>2026-07-17T00:11:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712639</loc>
  <lastmod>2026-07-17T00:11:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>構造と緊張を制約する自動作曲フレームワーク（MorpheuS: Generating Structured Music with Constrained Patterns and Tension）</news:title>
   <news:publication_date>2026-07-17T00:11:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712637</loc>
  <lastmod>2026-07-16T23:20:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非自己回帰・完全並列型エンドツーエンド音声合成（FPETS : Fully Parallel End-to-End Text-to-Speech System）</news:title>
   <news:publication_date>2026-07-16T23:20:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712635</loc>
  <lastmod>2026-07-16T23:20:11Z</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・トゥリーレット（Kernel Treelets）による階層クラスタリングの再定義</news:title>
   <news:publication_date>2026-07-16T23:20:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712633</loc>
  <lastmod>2026-07-16T23:19:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>景観・盆地進化モデルのベイズ反転を加速する代替モデル支援法（Surrogate-assisted Bayesian inversion for landscape and basin evolution models）</news:title>
   <news:publication_date>2026-07-16T23:19:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712631</loc>
  <lastmod>2026-07-16T23:19:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モデルに依存しない階層的説明手法 Mahé（CAN I TRUST YOU MORE? MODEL-AGNOSTIC HIERARCHICAL EXPLANATIONS）</news:title>
   <news:publication_date>2026-07-16T23:19:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712629</loc>
  <lastmod>2026-07-16T23:19:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>出席が退学抑止の鍵である（Key Factor Not to Drop Out is to Attend the Lecture）</news:title>
   <news:publication_date>2026-07-16T23:19:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712627</loc>
  <lastmod>2026-07-16T23:19:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文単位の滑らかな正則化によるSeq2Seq学習（Sentence-wise Smooth Regularization for Sequence to Sequence Learning）</news:title>
   <news:publication_date>2026-07-16T23:19:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712625</loc>
  <lastmod>2026-07-16T23:18:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>隣人を見張る視点：言語誘導型グラフ注意ネットワークによる参照表現理解（Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks）</news:title>
   <news:publication_date>2026-07-16T23:18:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712623</loc>
  <lastmod>2026-07-16T22:28:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハイブリッド深層学習による大気質予測（Deep Air Quality Forecasting Using Hybrid Deep Learning Framework）</news:title>
   <news:publication_date>2026-07-16T22:28:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712621</loc>
  <lastmod>2026-07-16T22:27:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-07-16T22:27:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一般化格差を埋める：コンファウンダーを持つ生物学的データで頑健なモデルを学習する（Bridging the Generalization Gap: Training Robust Models on Confounded Biological Data）</news:title>
   <news:publication_date>2026-07-16T22:27:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712617</loc>
  <lastmod>2026-07-16T22:26:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HSTによる(486958) 2014 MU69の光度曲線（HST Lightcurve of (486958) 2014 MU69）</news:title>
   <news:publication_date>2026-07-16T22:26:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712615</loc>
  <lastmod>2026-07-16T22:26:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>勾配降下は小さな部分空間で起きる（GRADIENT DESCENT HAPPENS IN A TINY SUBSPACE）</news:title>
   <news:publication_date>2026-07-16T22:26:42Z</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>
   </news:publication>
   <news:title>週次オンラインテストの傾向に基づく最終試験合否予測（Prediction of Success or Failure for Final Examination using Nearest Neighbor Method to the Trend of Weekly Online Testing）</news:title>
   <news:publication_date>2026-07-16T22:26:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-07-16T22:26:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>極端な視点合成（Extreme View Synthesis）</news:title>
   <news:publication_date>2026-07-16T22:26:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712609</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>音声信号認識のための効率的な教師あり辞書学習法（An efficient supervised dictionary learning method for audio signal recognition）</news:title>
   <news:publication_date>2026-07-16T21:34:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712607</loc>
  <lastmod>2026-07-16T21:34:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人種を転移学習の問題として考える（Considering Race a Problem of Transfer Learning）</news:title>
   <news:publication_date>2026-07-16T21:34:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712605</loc>
  <lastmod>2026-07-16T21:34:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>欠損スペクトル情報を回復するための敵対的生成ネットワーク（Generative Adversarial Networks for Recovering Missing Spectral Information）</news:title>
   <news:publication_date>2026-07-16T21:34:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712603</loc>
  <lastmod>2026-07-16T21:33:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>隠れ木構造イジングモデルにおける予測学習（Predictive Learning on Hidden Tree-Structured Ising Models）</news:title>
   <news:publication_date>2026-07-16T21:33:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712601</loc>
  <lastmod>2026-07-16T21:33:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人の意図を導く探索でロボットは賢くなる（Guided Exploration of Human Intentions for Human-Robot Interaction）</news:title>
   <news:publication_date>2026-07-16T21:33:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712599</loc>
  <lastmod>2026-07-16T21:33:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SMART: ラベリング効率化の実務プラットフォーム（SMART: An Open Source Data Labeling Platform for Supervised Learning）</news:title>
   <news:publication_date>2026-07-16T21:33:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712597</loc>
  <lastmod>2026-07-16T21:32:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>回転不変記述子による銀河形態分類の実用性（Rotation Invariant Descriptors for Galaxy Morphological Classification）</news:title>
   <news:publication_date>2026-07-16T21:32:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712595</loc>
  <lastmod>2026-07-16T20:41:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>2次元CNN特徴の転移学習による心電図不整脈分類（ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features）</news:title>
   <news:publication_date>2026-07-16T20:41:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712593</loc>
  <lastmod>2026-07-16T20:41:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分子・材料の表現を学習するアトミスティックニューラルネットワーク（Learning representations of molecules and materials with atomistic neural networks）</news:title>
   <news:publication_date>2026-07-16T20:41:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712591</loc>
  <lastmod>2026-07-16T20:41:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ホストベース侵入検知における異常生成と検出の新展開（Anomaly Generation Using Generative Adversarial Networks in Host-Based Intrusion Detection）</news:title>
   <news:publication_date>2026-07-16T20:41:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712589</loc>
  <lastmod>2026-07-16T20:40:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MR画像合成における強度正規化の影響評価 (Evaluating the Impact of Intensity Normalization on MR Image Synthesis)</news:title>
   <news:publication_date>2026-07-16T20:40:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712587</loc>
  <lastmod>2026-07-16T20:40:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>情報カスケードのためのコントラスト学習（Contrastive Training for Models of Information Cascades）</news:title>
   <news:publication_date>2026-07-16T20:40:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712585</loc>
  <lastmod>2026-07-16T20:40:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Apple製機械学習は大腸がんの検出に成功するがKRAS変異の予測には失敗する（Apple Machine Learning Algorithms Successfully Detect Colon Cancer but Fail to Predict KRAS Mutation Status）</news:title>
   <news:publication_date>2026-07-16T20:40:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712583</loc>
  <lastmod>2026-07-16T20:40:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712581</loc>
  <lastmod>2026-07-16T19:48:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意機構を学習するネットワークの再現報告（Reproduction Report on &amp;quot;Learn To Pay Attention&amp;quot;）</news:title>
   <news:publication_date>2026-07-16T19:48:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712579</loc>
  <lastmod>2026-07-16T19:48:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>X線バイナリトランジェントMAXI J1807+132の複雑な進化（The complex evolution of the X-ray binary transient MAXI J1807+132 along the decay of its discovery outburst）</news:title>
   <news:publication_date>2026-07-16T19:48:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712577</loc>
  <lastmod>2026-07-16T19:48:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SHELAデータカタログとDECam・IRACの広域マルチウェーブバンド調査（THE SPITZER-HETDEX EXPLORATORY LARGE AREA SURVEY II: DARK ENERGY CAMERA AND SPITZER/IRAC MULTIWAVELENGTH CATALOG）</news:title>
   <news:publication_date>2026-07-16T19:48:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712575</loc>
  <lastmod>2026-07-16T19:47:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Outlier Exposureによる深層異常検知の実用化（DEEP ANOMALY DETECTION WITH OUTLIER EXPOSURE）</news:title>
   <news:publication_date>2026-07-16T19:47:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712573</loc>
  <lastmod>2026-07-16T19:47:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>映像から奥行きを推定するDeepV2D（DEEPV2D: VIDEO TO DEPTH WITH DIFFERENTIABLE STRUCTURE FROM MOTION）</news:title>
   <news:publication_date>2026-07-16T19:47:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712571</loc>
  <lastmod>2026-07-16T19:46:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>曲がった幾何で見る加速最適化（On the Curved Geometry of Accelerated Optimization）</news:title>
   <news:publication_date>2026-07-16T19:46:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712569</loc>
  <lastmod>2026-07-16T19:46:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>診断的可視化のためのLangevin動力学（Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712567</loc>
  <lastmod>2026-07-16T18:55:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データセットシフトに起因する失敗の防止（Preventing Failures Due to Dataset Shift）</news:title>
   <news:publication_date>2026-07-16T18:55:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712565</loc>
  <lastmod>2026-07-16T18:54:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像・映像分類に対する枠だけの敵対的攻撃（Adversarial Framing for Image and Video Classification）</news:title>
   <news:publication_date>2026-07-16T18:54:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712563</loc>
  <lastmod>2026-07-16T18:54:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>参照点集合によるカーネルMMD誤差の上界（Bounding the Error From Reference Set Kernel Maximum Mean Discrepancy）</news:title>
   <news:publication_date>2026-07-16T18:54:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712561</loc>
  <lastmod>2026-07-16T18:54:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>映像から学ぶ物体操作の重要点（Grounded Human-Object Interaction Hotspots from Video）</news:title>
   <news:publication_date>2026-07-16T18:54:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712559</loc>
  <lastmod>2026-07-16T18:54:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動車クラウドにおける締切意識のタスク複製（Task Replication for Vehicular Cloud: Contextual Combinatorial Bandit with Delayed Feedback）</news:title>
   <news:publication_date>2026-07-16T18:54:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712557</loc>
  <lastmod>2026-07-16T18:53:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データの位相を使う前処理：PrecoG（PrecoG: an efficient unitary split preconditioner for the transform-domain LMS filter via graph Laplacian regularization）</news:title>
   <news:publication_date>2026-07-16T18:53:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712555</loc>
  <lastmod>2026-07-16T18:53:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>流路内の障害物をニューラルネットで見つける（Recognition of an obstacle in a flow using artificial neural networks）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712553</loc>
  <lastmod>2026-07-16T18:02:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 </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>
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   <news:publication_date>2026-07-16T18:01:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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 <url>
  <loc>https://aibr.jp/archives/712547</loc>
  <lastmod>2026-07-16T18:00:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>悪性胸膜中皮腫の早期発見を支える予測モデル（Identification of Cancer: Mesothelioma’s Disease Using Logistic Regression and Association Rule）</news:title>
   <news:publication_date>2026-07-16T18:00:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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 <url>
  <loc>https://aibr.jp/archives/712545</loc>
  <lastmod>2026-07-16T18:00:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散削減最適化法は深層学習で効かないのか（On the Ineffectiveness of Variance Reduced Optimization for Deep Learning）</news:title>
   <news:publication_date>2026-07-16T18:00:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712543</loc>
  <lastmod>2026-07-16T18:00:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>イベント駆動プログラムのメソッド要約生成（Generating Summaries for Methods of Event-Driven Programs: an Android Case Study）</news:title>
   <news:publication_date>2026-07-16T18:00:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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 <url>
  <loc>https://aibr.jp/archives/712541</loc>
  <lastmod>2026-07-16T18:00:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>選好（Choice）分析にDNNを使う 意味ある経済情報を引き出す方法（Deep Neural Networks for Choice Analysis: Extracting Complete Economic Information for Interpretation）</news:title>
   <news:publication_date>2026-07-16T18:00:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712539</loc>
  <lastmod>2026-07-16T17:08:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Socratrees──一般ユーザー向け議論支援技術の設計（Socratrees: Exploring the Design of Argument Technology for Layman Users）</news:title>
   <news:publication_date>2026-07-16T17:08:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712537</loc>
  <lastmod>2026-07-16T16:58:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>患者の再入院リスク予測の実用的アプローチ（Evaluating Patient Readmission Risk: A Predictive Analytics Approach）</news:title>
   <news:publication_date>2026-07-16T16:58:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712535</loc>
  <lastmod>2026-07-16T16:58:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>食事動作認識における学習データ量の影響（The Impact of Quantity of Training Data on Recognition of Eating Gestures）</news:title>
   <news:publication_date>2026-07-16T16:58:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712533</loc>
  <lastmod>2026-07-16T16:58:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>半教師付き二重グラフ正則化辞書学習（Semi-supervised dual graph regularized dictionary learning）</news:title>
   <news:publication_date>2026-07-16T16:58:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712531</loc>
  <lastmod>2026-07-16T16:58:02Z</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とSMILES多様性の相乗効果（Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES）</news:title>
   <news:publication_date>2026-07-16T16:58:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712529</loc>
  <lastmod>2026-07-16T16:57:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>船隊全体の予知保全のためのデータ戦略 (Data Strategies for Fleetwide Predictive Maintenance)</news:title>
   <news:publication_date>2026-07-16T16:57:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712527</loc>
  <lastmod>2026-07-16T16:57:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中国字フォント特徴学習のためのCocoAAN（Coconditional Autoencoding Adversarial Networks for Chinese Font Feature Learning）</news:title>
   <news:publication_date>2026-07-16T16:57:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712525</loc>
  <lastmod>2026-07-16T16:06:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ベルヌーイ試験からの滑らかな確率関数の効率的学習（Efficient learning of smooth probability functions from Bernoulli tests with guarantees）</news:title>
   <news:publication_date>2026-07-16T16:06:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712523</loc>
  <lastmod>2026-07-16T16:06:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顔中心クロスストリームネットワークによる映像の欺瞞検出（Face-Focused Cross-Stream Network for Deception Detection in Videos）</news:title>
   <news:publication_date>2026-07-16T16:06:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712521</loc>
  <lastmod>2026-07-16T16:05:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スパース属性伝播によるゼロショット学習の現実解（Zero-Shot Learning with Sparse Attribute Propagation）</news:title>
   <news:publication_date>2026-07-16T16:05:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712519</loc>
  <lastmod>2026-07-16T16:05:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>条件付き変分オートエンコーダによるニューラル機械翻訳（Conditional Variational Autoencoder for Neural Machine Translation）</news:title>
   <news:publication_date>2026-07-16T16:05:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712517</loc>
  <lastmod>2026-07-16T16:05:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MergeDTSによる大規模オンラインランカー評価の合理化（MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation）</news:title>
   <news:publication_date>2026-07-16T16:05:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712515</loc>
  <lastmod>2026-07-16T16:04:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ユーザーの操作意図を埋め込む推薦モデル（Learning Item-Interaction Embeddings for User Recommendations）</news:title>
   <news:publication_date>2026-07-16T16:04:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712513</loc>
  <lastmod>2026-07-16T16:04:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モバイル協働シリアスゲームのモデル（Mobile Collaborative Serious Games）</news:title>
   <news:publication_date>2026-07-16T16:04:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712511</loc>
  <lastmod>2026-07-16T15:13:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>適応カーネル密度推定から疎な混合モデルへの橋渡し（From Adaptive Kernel Density Estimation to Sparse Mixture Models）</news:title>
   <news:publication_date>2026-07-16T15:13:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712509</loc>
  <lastmod>2026-07-16T15:13:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>尤度の構造に事前知識を組み込む手法（Encoding prior knowledge in the structure of the likelihood）</news:title>
   <news:publication_date>2026-07-16T15:13:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712507</loc>
  <lastmod>2026-07-16T15:12:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフェンと六角形ボロンナイトライド(hBN)ハイブリッドナノフレークのギャップ予測（Gap prediction in hybrid graphene - hexagonal boron nitride nanoflakes）</news:title>
   <news:publication_date>2026-07-16T15:12:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712505</loc>
  <lastmod>2026-07-16T15:12:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Readerによる文書画像からの情報抽出（Deep Reader: Information extraction from Document images via relation extraction and Natural Language）</news:title>
   <news:publication_date>2026-07-16T15:12:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712503</loc>
  <lastmod>2026-07-16T15:12:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ポアソン観測からのスパース成分分離（Sparse component separation from Poisson measurements）</news:title>
   <news:publication_date>2026-07-16T15:12:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712501</loc>
  <lastmod>2026-07-16T15:11:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>点検シートの視覚的関係推定による読み取り（Reading Industrial Inspection Sheets by Inferring Visual Relations）</news:title>
   <news:publication_date>2026-07-16T15:11:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/712499</loc>
  <lastmod>2026-07-16T15:11:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物体中心の自己符号化器とダミー異常による映像異常検知（Object-centric Auto-encoders and Dummy Anomalies for Abnormal Event Detection in Video）</news:title>
   <news:publication_date>2026-07-16T15:11:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
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