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   <news:title>視覚とオドメトリのみで到達する学習型屋内自律航行（Deep Reinforcement Learning for Mapless Indoor Navigation）</news:title>
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   <news:title>テキスト予測におけるトピックモデルの統計的枠組み（A framework for streamlined statistical prediction using topic models）</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>GraphTSNE（GRAPHTSNE: A VISUALIZATION TECHNIQUE FOR GRAPH-STRUCTURED DATA）</news:title>
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   <news:title>変形可能カーネルを学習して画像・動画のノイズ除去を改善する手法（Learning Deformable Kernels for Image and Video Denoising）</news:title>
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   <news:title>暗黙的ペアによる非対応画像変換の強化（Implicit Pairs for Boosting Unpaired Image-to-Image Translation）</news:title>
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   <news:title>深層メタ学習とMPPIによる誘導法の学習（Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control）</news:title>
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   <news:title>イベントログ属性を活用したRNNベースの予測（Exploiting Event Log Event Attributes in RNN Based Prediction）</news:title>
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   <news:title>DuBox: アンカーボックス不要の物体検出（DuBox: No-Prior Box Objection Detection via Residual Dual Scale Detectors）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>オプションを分離するヘリンガー距離正則化（Disentangling Options with Hellinger Distance Regularizer）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>対話型強化学習における「良い教師」とは何か（Improving interactive reinforcement learning: What makes a good teacher?）</news:title>
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   <news:title>畳み込みニューラルネットワークによる歌声合成（Singing voice synthesis based on convolutional neural networks）</news:title>
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   <news:title>平面領域における共形不変量の境界挙動（BOUNDARY BEHAVIOUR OF SOME CONFORMAL INVARIANTS ON PLANAR DOMAINS）</news:title>
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   <news:title>自己批判的n-step学習による画像キャプショニングの改善（Self-critical n-step Training for Image Captioning）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>人間の意思決定を予測する ― 行動理論と機械学習の融合（Predicting human decisions with behavioral theories and machine learning）</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>熱画像におけるサリエンシーマップを用いた歩行者検出（Pedestrian Detection in Thermal Images using Saliency Maps）</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>多層六方晶窒化ホウ素における量子放出体の原子スケール位置特定（Atomic Localization of Quantum Emitters in Multilayer Hexagonal Boron Nitride）</news:title>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>グローバル共分散プーリングが変える表現学習（Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization）</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>自然のサーフゾーンにおける破砕波の割合（The Fraction of Broken Waves in Natural Surf Zones）</news:title>
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   <news:title>再帰系列モデルにおける大域正規化と局所正規化の実証的比較：連続緩和によるビームサーチ適用 (An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search)</news:title>
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    <news:name>AI Benchmark Research</news:name>
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   <news:title>日常シーンの跳ね返りを学ぶ（Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>ライドソーシングサービスの時空間特徴学習（Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network）</news:title>
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   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/729249</loc>
  <lastmod>2026-08-31T09:46:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>公理に基づくニューラルランキングモデルの正則化（An Axiomatic Approach to Regularizing Neural Ranking Models）</news:title>
   <news:publication_date>2026-08-31T09:46:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729247</loc>
  <lastmod>2026-08-31T09:36:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチチャンネル注意選択GANによる視点間画像変換の進展（Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation）</news:title>
   <news:publication_date>2026-08-31T09:36:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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 <url>
  <loc>https://aibr.jp/archives/729245</loc>
  <lastmod>2026-08-31T09:36:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個人化リランキングによる推薦精度の向上（Personalized Re-ranking for Recommendation）</news:title>
   <news:publication_date>2026-08-31T09:36:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729243</loc>
  <lastmod>2026-08-31T09:35:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Tracking Machine LearningチャレンジのAccuracyフェーズ（The Tracking Machine Learning challenge: Accuracy phase）</news:title>
   <news:publication_date>2026-08-31T09:35:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729241</loc>
  <lastmod>2026-08-31T09:35:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最小窓に基づくコンパクトなエピソードの発見（Discovering Episodes with Compact Minimal Windows）</news:title>
   <news:publication_date>2026-08-31T09:35:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729239</loc>
  <lastmod>2026-08-31T09:34:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多枝分岐テンソルネットワークによる判別分析の効率化（Multi-Branch Tensor Network Structure for Tensor-Train Discriminant Analysis）</news:title>
   <news:publication_date>2026-08-31T09:34:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729237</loc>
  <lastmod>2026-08-31T09:34:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>好奇心駆動iLQR：モデル不確実性を解消するMBRL（Curious iLQR: Resolving Uncertainty in Model-based RL）</news:title>
   <news:publication_date>2026-08-31T09:34:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729235</loc>
  <lastmod>2026-08-31T08:42:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対話型システムとの関わりを学習する：公開博物館における深層強化学習のフィールドスタディ (Learning to Engage with Interactive Systems: A Field Study on Deep Reinforcement Learning in a Public Museum)</news:title>
   <news:publication_date>2026-08-31T08:42:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729233</loc>
  <lastmod>2026-08-31T08:42:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CMIP5に基づく全球平均地上気温予測の信頼性向上（Improved reliability and accuracy of CMIP5 global mean surface temperature projections）</news:title>
   <news:publication_date>2026-08-31T08:42:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729231</loc>
  <lastmod>2026-08-31T08:41:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>関節空間とデカルト空間におけるポリシー探索の比較（A Comparison of Policy Search in Joint Space and Cartesian Space for Refinement of Skills）</news:title>
   <news:publication_date>2026-08-31T08:41:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729229</loc>
  <lastmod>2026-08-31T08:40:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ミリ波大規模MIMOシステムの深層CNNによるチャネル推定（Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems）</news:title>
   <news:publication_date>2026-08-31T08:40:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729227</loc>
  <lastmod>2026-08-31T08:40:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的カーネルSVMによる不確かさを考慮した分類（Probabilistic Kernel Support Vector Machines）</news:title>
   <news:publication_date>2026-08-31T08:40:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729225</loc>
  <lastmod>2026-08-31T08:40:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>光り輝く星雲の化学組成が示す謎（Latest advances in the abundance discrepancy problem in photoionized nebulae）</news:title>
   <news:publication_date>2026-08-31T08:40:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729223</loc>
  <lastmod>2026-08-31T08:40:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超巨大質量ミリ秒パルサーの相対論的シャピロ遅延測定（Relativistic Shapiro delay measurements of an extremely massive millisecond pulsar）</news:title>
   <news:publication_date>2026-08-31T08:40:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729221</loc>
  <lastmod>2026-08-31T07:48:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>実務に結びつけるプログラミング言語教育の再設計（From Theory to Systems: A Grounded Approach to Programming Language Education）</news:title>
   <news:publication_date>2026-08-31T07:48:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729219</loc>
  <lastmod>2026-08-31T07:48:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>潜在k単体（latent k‑simplex）の発見：Subset Smoothingによる準入力疎性アルゴリズム (Finding a latent k−simplex in O∗(k · nnz(data)) time via Subset Smoothing)</news:title>
   <news:publication_date>2026-08-31T07:48:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729217</loc>
  <lastmod>2026-08-31T07:48:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>メモリ駆動型強化学習の概観（A Short Survey on Memory Based Reinforcement Learning）</news:title>
   <news:publication_date>2026-08-31T07:48:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729215</loc>
  <lastmod>2026-08-31T07:47:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>希少語がもたらす問題と修正法（Rare Words: A Major Problem for Contextualized Embeddings and How to Fix it by Attentive Mimicking）</news:title>
   <news:publication_date>2026-08-31T07:47:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729213</loc>
  <lastmod>2026-08-31T07:47:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SpeechYOLOによる音声オブジェクトの検出と局所化 (SpeechYOLO: Detection and Localization of Speech Objects)</news:title>
   <news:publication_date>2026-08-31T07:47:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729211</loc>
  <lastmod>2026-08-31T07:46:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビームプロファイラー・ネットワーク（Beam Profiler Network (BPNet) - A Deep Learning Approach to Mode Demultiplexing of Laguerre-Gaussian Optical Beams）</news:title>
   <news:publication_date>2026-08-31T07:46:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729209</loc>
  <lastmod>2026-08-31T07:46:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動画からの対象物除去を時空間的に整合させるVORNet（VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal）</news:title>
   <news:publication_date>2026-08-31T07:46:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729207</loc>
  <lastmod>2026-08-31T06:54:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈を考慮したアイテム表現の事前学習で買い物カゴ予測を変える（Pre-training of Context-aware Item Representation for Next Basket Recommendation）</news:title>
   <news:publication_date>2026-08-31T06:54:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729205</loc>
  <lastmod>2026-08-31T06:53:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一視点からの不確かさを扱う3D形状生成と多視点合成（Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction）</news:title>
   <news:publication_date>2026-08-31T06:53:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729203</loc>
  <lastmod>2026-08-31T06:53:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Dot-to-Dot: 説明可能な階層型強化学習によるロボット操作（Dot-to-Dot: Explainable Hierarchical Reinforcement Learning for Robotic Manipulation）</news:title>
   <news:publication_date>2026-08-31T06:53:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729201</loc>
  <lastmod>2026-08-31T06:52:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>代表性と情報価値を探る能動学習（Exploring Representativeness and Informativeness for Active Learning）</news:title>
   <news:publication_date>2026-08-31T06:52:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729199</loc>
  <lastmod>2026-08-31T06:52:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>月面画像の欠損復元を実現するU-Netによる深層ニューラルネットワーク（LUNAR SURFACE IMAGE RESTORATION USING U-NET BASED DEEP NEURAL NETWORKS）</news:title>
   <news:publication_date>2026-08-31T06:52:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729197</loc>
  <lastmod>2026-08-31T06:52:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチラベル能動学習における最大コレントロピー基準を用いたロバストラベリング（Robust and Discriminative Labeling for Multi-label Active Learning Based on Maximum Correntropy Criterion）</news:title>
   <news:publication_date>2026-08-31T06:52:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729195</loc>
  <lastmod>2026-08-31T06:52:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>BERT4Rec: シーケンシャル推薦における双方向トランスフォーマ表現（BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer）</news:title>
   <news:publication_date>2026-08-31T06:52:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729193</loc>
  <lastmod>2026-08-31T05:59:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スパース高分解能ハイパースペクトル画像における自動ターゲット検出（Automatic Target Detection for Sparse Hyperspectral Images）</news:title>
   <news:publication_date>2026-08-31T05:59:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729191</loc>
  <lastmod>2026-08-31T05:59:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重要特徴を選り分ける顔表情認識ネットワーク（EXPERTNet: Exigent Features Preservative Network for Facial Expression Recognition）</news:title>
   <news:publication_date>2026-08-31T05:59:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729189</loc>
  <lastmod>2026-08-31T05:58:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニュースから医療へ：分野横断的談話分割の課題と展望（From News to Medical: Cross-domain Discourse Segmentation）</news:title>
   <news:publication_date>2026-08-31T05:58:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729187</loc>
  <lastmod>2026-08-31T05:58:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>波形変換とモチーフベースのグラフ畳み込みリカレントニューラルネットを統合したハイブリッド交通速度予測手法 (A Hybrid Traffic Speed Forecasting Approach Integrating Wavelet Transform and Motif-based Graph Convolutional Recurrent Neural Network)</news:title>
   <news:publication_date>2026-08-31T05:58:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729185</loc>
  <lastmod>2026-08-31T05:57:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スマートラップトップバッグによる行動認識と緊急通知（SMART LAPTOP BAG WITH MACHINE LEARNING FOR ACTIVITY RECOGNITION）</news:title>
   <news:publication_date>2026-08-31T05:57:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729183</loc>
  <lastmod>2026-08-31T05:57:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>映像における異常の無監督合成（Unsupervised Synthesis of Anomalies in Videos: Transforming the Normal）</news:title>
   <news:publication_date>2026-08-31T05:57:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729181</loc>
  <lastmod>2026-08-31T05:06:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>正則化コックスモデルにおける過学習の解析（Analysis of overfitting in the regularized Cox model）</news:title>
   <news:publication_date>2026-08-31T05:06:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729179</loc>
  <lastmod>2026-08-31T05:06:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチ類似度損失と一般的ペア重み付け（Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning）</news:title>
   <news:publication_date>2026-08-31T05:06:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729177</loc>
  <lastmod>2026-08-31T05:06:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高解像度画像翻訳のための段階的GAN学習（Biphasic Learning of GANs for High-Resolution Image-to-Image Translation）</news:title>
   <news:publication_date>2026-08-31T05:06:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729175</loc>
  <lastmod>2026-08-31T05:04:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>D2D通信における分散スペクトラム割当てのためのマルチエージェント深層強化学習フレームワーク（A Multi-Agent Deep Reinforcement Learning based Spectrum Allocation Framework for D2D Communications）</news:title>
   <news:publication_date>2026-08-31T05:04:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729173</loc>
  <lastmod>2026-08-31T05:04:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>閉じた厳密エピソードの発見手法（Mining Closed Strict Episodes）</news:title>
   <news:publication_date>2026-08-31T05:04:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729171</loc>
  <lastmod>2026-08-31T05:04:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>UR-FUNNY：マルチモーダル言語データセットによるユーモア理解（UR-FUNNY: A Multimodal Language Dataset for Understanding Humor）</news:title>
   <news:publication_date>2026-08-31T05:04:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729169</loc>
  <lastmod>2026-08-31T05:04:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Shakeoutによるニューラルネットワークの正則化と圧縮（Shakeout: A New Approach to Regularized Deep Neural Network Training）</news:title>
   <news:publication_date>2026-08-31T05:04:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729167</loc>
  <lastmod>2026-08-31T04:12:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声駆動インターフェースのリプレイ攻撃と対策（Towards Vulnerability Analysis of Voice-Driven Interfaces and Countermeasures for Replay Attacks）</news:title>
   <news:publication_date>2026-08-31T04:12:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729165</loc>
  <lastmod>2026-08-31T04:12:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なし歌声変換の可能性（Unsupervised Singing Voice Conversion）</news:title>
   <news:publication_date>2026-08-31T04:12:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729163</loc>
  <lastmod>2026-08-31T04:11:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械文字起こしから人手文字起こしへの変換を学習するGAN（M2H-GAN: A GAN-based Mapping from Machine to Human Transcripts for Speech Understanding）</news:title>
   <news:publication_date>2026-08-31T04:11:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729161</loc>
  <lastmod>2026-08-31T04:11:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>レンジ画像からのスーパークアドリック復元をCNNで高速化する試み（Recovery of Superquadrics from Range Images using Deep Learning: A Preliminary Study）</news:title>
   <news:publication_date>2026-08-31T04:11:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729159</loc>
  <lastmod>2026-08-31T04:10:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>シミュレータ拡張型インタラクションネットワーク（Combining Physical Simulators and Object-Based Networks for Control）</news:title>
   <news:publication_date>2026-08-31T04:10:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729157</loc>
  <lastmod>2026-08-31T04:10:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GA-Net: Guided Aggregation Net が切り開くステレオ再構成の効率化（GA-Net: Guided Aggregation Net for End-to-end Stereo Matching）</news:title>
   <news:publication_date>2026-08-31T04:10:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729155</loc>
  <lastmod>2026-08-31T04:10:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未ラベルデータと物理則の組み込みによるPDE解法の深化（Deep-learning PDEs with unlabeled data and hardwiring physics laws）</news:title>
   <news:publication_date>2026-08-31T04:10:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729153</loc>
  <lastmod>2026-08-31T03:19:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HAKE: 人間行動知識エンジン（HAKE: Human Activity Knowledge Engine）</news:title>
   <news:publication_date>2026-08-31T03:19:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729151</loc>
  <lastmod>2026-08-31T03:19:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>外れ値に強い自己学習型確率的主成分分析（Self-Paced Probabilistic Principal Component Analysis for Data with Outliers）</news:title>
   <news:publication_date>2026-08-31T03:19:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729149</loc>
  <lastmod>2026-08-31T03:18:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Pólygammaデータ拡張によるMMNLの非共役問題解消（Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models）</news:title>
   <news:publication_date>2026-08-31T03:18:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729147</loc>
  <lastmod>2026-08-31T03:18:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意コストと退職（Costly Attention and Retirement）</news:title>
   <news:publication_date>2026-08-31T03:18:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729145</loc>
  <lastmod>2026-08-31T03:18:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>短文トピックモデリングの技術・応用・性能調査（Short Text Topic Modeling Techniques, Applications, and Performance: A Survey）</news:title>
   <news:publication_date>2026-08-31T03:18:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729143</loc>
  <lastmod>2026-08-31T03:17:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タンパク質-リガンド結合部位検出を改善する3Dセグメンテーション（Improving detection of protein-ligand binding sites with 3D segmentation）</news:title>
   <news:publication_date>2026-08-31T03:17:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729141</loc>
  <lastmod>2026-08-31T03:17:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スパース大規模データ向け統合オートエンコーダフィルター（An Integrated Autoencoder-Based Filter for Sparse Big Data）</news:title>
   <news:publication_date>2026-08-31T03:17:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729139</loc>
  <lastmod>2026-08-31T02:25:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>dipIQによるブラインド画像品質評価（dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs）</news:title>
   <news:publication_date>2026-08-31T02:25:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729137</loc>
  <lastmod>2026-08-31T02:25:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低リソース言語のためのエンドツーエンド音声合成（End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learning）</news:title>
   <news:publication_date>2026-08-31T02:25:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729135</loc>
  <lastmod>2026-08-31T02:23:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特権情報を用いたカーネル法ベースの一クラス分類（OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information）</news:title>
   <news:publication_date>2026-08-31T02:23:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729133</loc>
  <lastmod>2026-08-31T02:23:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己相似性の一貫性と特徴識別性によるドメイン適応の改善（Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation）</news:title>
   <news:publication_date>2026-08-31T02:23:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729131</loc>
  <lastmod>2026-08-31T02:23:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中心を可変にした最大コレントロピー基準（Maximum Correntropy Criterion with Variable Center）</news:title>
   <news:publication_date>2026-08-31T02:23:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729129</loc>
  <lastmod>2026-08-31T02:22:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフ埋め込み多層カーネルリッジ回帰によるワンクラス分類（Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification）</news:title>
   <news:publication_date>2026-08-31T02:22:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729127</loc>
  <lastmod>2026-08-31T02:22:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トピックグルーパ：凝集型クラスタリングによるトピックモデル（Topic Grouper: An Agglomerative Clustering Approach to Topic Modeling）</news:title>
   <news:publication_date>2026-08-31T02:22:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729125</loc>
  <lastmod>2026-08-31T01:30:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>法分野分類の比較研究（Legal Area Classification: A Comparative Study of Text Classifiers on Singapore Supreme Court Judgments）</news:title>
   <news:publication_date>2026-08-31T01:30:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729123</loc>
  <lastmod>2026-08-31T01:30:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Transformable Bottleneck Networks（Transformable Bottleneck Networks）</news:title>
   <news:publication_date>2026-08-31T01:30:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729121</loc>
  <lastmod>2026-08-31T01:29:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>小型深層学習RF分類器のためのオートエンコーダ訓練（AutoEncoders for Training Compact Deep Learning RF Classiﬁers for Wireless Protocols）</news:title>
   <news:publication_date>2026-08-31T01:29:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729119</loc>
  <lastmod>2026-08-31T01:28:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エッジストリームからの動的ノード埋め込み（Dynamic Node Embeddings from Edge Streams）</news:title>
   <news:publication_date>2026-08-31T01:28:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729117</loc>
  <lastmod>2026-08-31T01:28:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>残存使用可能寿命推定における関数データ解析の応用（Remaining Useful Life Estimation Using Functional Data Analysis）</news:title>
   <news:publication_date>2026-08-31T01:28:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729115</loc>
  <lastmod>2026-08-31T01:28:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>構造化暗黙関数による形状テンプレート学習（Learning Shape Templates with Structured Implicit Functions）</news:title>
   <news:publication_date>2026-08-31T01:28:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729113</loc>
  <lastmod>2026-08-31T01:27:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>遠隔軌道にある巨大惑星の質量関数と起源（ON THE MASS FUNCTION, MULTIPLICITY, AND ORIGINS OF WIDE-ORBIT GIANT PLANETS）</news:title>
   <news:publication_date>2026-08-31T01:27:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729111</loc>
  <lastmod>2026-08-31T00:36:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>線形不確実性システムのサンプルベース学習モデル予測制御（Sample-Based Learning Model Predictive Control for Linear Uncertain Systems）</news:title>
   <news:publication_date>2026-08-31T00:36:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729109</loc>
  <lastmod>2026-08-31T00:26:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>水中ロボットのためのリアルタイム物理モデルベース色補正（Real-time Model-based Image Color Correction for Underwater Robots）</news:title>
   <news:publication_date>2026-08-31T00:26:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729107</loc>
  <lastmod>2026-08-31T00:25:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>網膜眼底画像から貧血を検出する（Detecting Anemia from Retinal Fundus Images）</news:title>
   <news:publication_date>2026-08-31T00:25:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729105</loc>
  <lastmod>2026-08-31T00:24:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マクロカノニカルモデルによるテクスチャ合成（Macrocanonical Models for Texture Synthesis）</news:title>
   <news:publication_date>2026-08-31T00:24:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729103</loc>
  <lastmod>2026-08-31T00:24:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多層動的最適化による改良LEACHとコスト効率の高いDeep Belief Network（Multi-level Dynamic Optimization of Intelligent LEACH with Cost Effective Deep Belief Network）</news:title>
   <news:publication_date>2026-08-31T00:24:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729101</loc>
  <lastmod>2026-08-31T00:24:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>情報理論に基づく潜在変数モデルの下限（INFORMATION THEORETIC LOWER BOUNDS ON NEGATIVE LOG LIKELIHOOD）</news:title>
   <news:publication_date>2026-08-31T00:24:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729099</loc>
  <lastmod>2026-08-31T00:24:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エッジコンピューティングを用いたインテリジェント映像監視システムの分散深層学習モデル（Distributed Deep Learning Model for Intelligent Video Surveillance Systems with Edge Computing）</news:title>
   <news:publication_date>2026-08-31T00:24:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729097</loc>
  <lastmod>2026-08-30T23:33:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>観測から学ぶ逆強化学習で不十分なデモを超える（Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations）</news:title>
   <news:publication_date>2026-08-30T23:33:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729095</loc>
  <lastmod>2026-08-30T23:33:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>冗長マニピュレータの運動学と動力学を解くためのリカレントニューラルネットワーク体モデルの構築（Setup of a Recurrent Neural Network as a Body Model for Solving Inverse and Forward Kinematics as well as Dynamics for a Redundant Manipulator）</news:title>
   <news:publication_date>2026-08-30T23:33:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729093</loc>
  <lastmod>2026-08-30T23:32:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>bfloat16を活用した高精度計算の合理化（Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations）</news:title>
   <news:publication_date>2026-08-30T23:32:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729091</loc>
  <lastmod>2026-08-30T23:32:08Z</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信頼できる予測誤差（Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout）</news:title>
   <news:publication_date>2026-08-30T23:32:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729089</loc>
  <lastmod>2026-08-30T23:32:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚の意味情報を操る「制約なし」敵対的例（UNRESTRICTED ADVERSARIAL EXAMPLES VIA SEMANTIC MANIPULATION）</news:title>
   <news:publication_date>2026-08-30T23:32:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729087</loc>
  <lastmod>2026-08-30T23:31:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワーク潜在テンソル因子分解による漸進的マルチドメイン学習（Incremental Multi-domain Learning with Network Latent Tensor Factorization）</news:title>
   <news:publication_date>2026-08-30T23:31:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729085</loc>
  <lastmod>2026-08-30T23:31:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AP損失によるワンステージ物体検出の精度向上（Towards Accurate One-Stage Object Detection with AP-Loss）</news:title>
   <news:publication_date>2026-08-30T23:31:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729083</loc>
  <lastmod>2026-08-30T22:40:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>広帯域スペクトルにおける狭帯域信号の賢い識別法（Intelligent Wide-band Spectrum Classifier）</news:title>
   <news:publication_date>2026-08-30T22:40:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729081</loc>
  <lastmod>2026-08-30T22:39:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>境界を保つ深層ノイズ除去法が変える多光子イメージング（Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images）</news:title>
   <news:publication_date>2026-08-30T22:39:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729079</loc>
  <lastmod>2026-08-30T22:39:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少数ショットの模倣学習を実現する論理プログラム方策（Few-Shot Bayesian Imitation Learning with Logical Program Policies）</news:title>
   <news:publication_date>2026-08-30T22:39:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729077</loc>
  <lastmod>2026-08-30T22:38:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模データから最適な決定木を学習する方法（Learning Optimal Decision Trees from Large Datasets）</news:title>
   <news:publication_date>2026-08-30T22:38:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729075</loc>
  <lastmod>2026-08-30T22:38:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時空間グラフの深層表現学習が拓く予測力（Spatio-Temporal Deep Graph Infomax）</news:title>
   <news:publication_date>2026-08-30T22:38:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729073</loc>
  <lastmod>2026-08-30T22:38:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>再び遊ぼう：Atari環境における深層強化学習エージェントの変動性（Let’s Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments）</news:title>
   <news:publication_date>2026-08-30T22:38:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729071</loc>
  <lastmod>2026-08-30T22:38:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散バンディット学習：通信効率とほぼ最適な後悔（Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication）</news:title>
   <news:publication_date>2026-08-30T22:38:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729069</loc>
  <lastmod>2026-08-30T21:46:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>環境変化へ継続的に適応するセマンティックセグメンテーション（ACE: Adapting to Changing Environments for Semantic Segmentation）</news:title>
   <news:publication_date>2026-08-30T21:46:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729067</loc>
  <lastmod>2026-08-30T21:38:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Lmserの再訪と畳み込み層への展開（Revisit Lmser and its further development based on convolutional layers）</news:title>
   <news:publication_date>2026-08-30T21:38:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729065</loc>
  <lastmod>2026-08-30T21:38:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>統計的分類における敵対学習――攻撃に対する防御の包括的レビュー（Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks）</news:title>
   <news:publication_date>2026-08-30T21:38:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729063</loc>
  <lastmod>2026-08-30T21:38:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>QFactory：古典指示で遠隔に秘密の量子ビットを作る仕組み（QFactory: classically-instructed remote secret qubits preparation）</news:title>
   <news:publication_date>2026-08-30T21:38:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729061</loc>
  <lastmod>2026-08-30T21:37:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>外れ値に強いスパース線形モデル推定（Outlier-robust estimation of a sparse linear model using ℓ1-penalized Huber’s M-estimator）</news:title>
   <news:publication_date>2026-08-30T21:37:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729059</loc>
  <lastmod>2026-08-30T21:37:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>変分推論を用いた計算イメージング逆問題（Variational Inference for Computational Imaging Inverse Problems）</news:title>
   <news:publication_date>2026-08-30T21:37:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729057</loc>
  <lastmod>2026-08-30T21:36:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所結合型スパイキングニューラルネットワークによる教師なし特徴学習（Locally Connected Spiking Neural Networks for Unsupervised Feature Learning）</news:title>
   <news:publication_date>2026-08-30T21:36:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729055</loc>
  <lastmod>2026-08-30T20:45:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Policy Gradientと教師あり学習の類似性（Similarities between policy gradient methods (PGM) in reinforcement learning (RL) and supervised learning (SL)）</news:title>
   <news:publication_date>2026-08-30T20:45:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729053</loc>
  <lastmod>2026-08-30T20:45:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的環境下でのエッジ計算における予算限定マルチアームド・バンディット（Multi-Armed Bandit for Energy-Eﬃcient and Delay-Sensitive Edge Computing in Dynamic Networks with Uncertainty）</news:title>
   <news:publication_date>2026-08-30T20:45:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729051</loc>
  <lastmod>2026-08-30T20:44:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動化された電力負荷予測モデル構築の実務的勝利（Automatic Model Building in GEFCom 2017）</news:title>
   <news:publication_date>2026-08-30T20:44:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729049</loc>
  <lastmod>2026-08-30T20:43:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MAANetによる画像超解像の実務的意義（MAANet: Multi-view Aware Attention Networks for Image Super-Resolution）</news:title>
   <news:publication_date>2026-08-30T20:43:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729047</loc>
  <lastmod>2026-08-30T20:43:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AMS-SFEによる意味特徴拡張を用いたマニフォールド整合（AMS-SFE: TOWARDS AN ALIGNMENT OF MANIFOLD STRUCTURES VIA SEMANTIC FEATURE EXPANSION FOR ZERO-SHOT LEARNING）</news:title>
   <news:publication_date>2026-08-30T20:43:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729045</loc>
  <lastmod>2026-08-30T20:43:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ディープニューラルネットワークにおけるリプシッツ正則化の結合効果（The coupling effect of Lipschitz regularization in deep neural networks）</news:title>
   <news:publication_date>2026-08-30T20:43:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729043</loc>
  <lastmod>2026-08-30T20:43:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成ハイブリッド表現による行動予測とノーリグレット学習（Generative Hybrid Representations for Activity Forecasting with No-Regret Learning）</news:title>
   <news:publication_date>2026-08-30T20:43:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729041</loc>
  <lastmod>2026-08-30T19:52:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>平面弾性膜を貫通する能動粒子の貫通理論（Theory of active particle penetration through a planar elastic membrane）</news:title>
   <news:publication_date>2026-08-30T19:52:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729039</loc>
  <lastmod>2026-08-30T19:51:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低ランク畳み込み深層ニューラルネットワークによるマルチタスク学習（Low-Rank Deep Convolutional Neural Network for Multi-Task Learning）</news:title>
   <news:publication_date>2026-08-30T19:51:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729037</loc>
  <lastmod>2026-08-30T19:50:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>楽器音の生成における敵対的自己符号化器と音楽的条件付け（Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoders）</news:title>
   <news:publication_date>2026-08-30T19:50:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729035</loc>
  <lastmod>2026-08-30T19:50:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習で重力レンズの質量モデルを高速推定する手法（The use of convolutional neural networks for modelling large optically-selected strong galaxy-lens samples）</news:title>
   <news:publication_date>2026-08-30T19:50:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729033</loc>
  <lastmod>2026-08-30T19:50:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>OpenKIによるWeb規模知識抽出の革新（OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference）</news:title>
   <news:publication_date>2026-08-30T19:50:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729031</loc>
  <lastmod>2026-08-30T19:50:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>膝の変形性関節症進行予測を変えるマルチモーダル学習（Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data）</news:title>
   <news:publication_date>2026-08-30T19:50:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729029</loc>
  <lastmod>2026-08-30T19:49:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>等化ダイナミクスと等量子数の影響（Equilibration dynamics and isospin effects in nuclear reactions）</news:title>
   <news:publication_date>2026-08-30T19:49:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729027</loc>
  <lastmod>2026-08-30T18:57:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>保険料率設計における木構造機械学習の実務的価値（Boosting insights in insurance tariffplans with tree-based machine learning methods）</news:title>
   <news:publication_date>2026-08-30T18:57:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729025</loc>
  <lastmod>2026-08-30T18:57:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>位置認識畳み込みネットワークによる交通予測（Position-Aware Convolutional Networks for Traffic Prediction）</news:title>
   <news:publication_date>2026-08-30T18:57:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729023</loc>
  <lastmod>2026-08-30T18:57:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>信用スコアリングにおける拒否推論のための深層生成モデル（Deep Generative Models for Reject Inference in Credit Scoring）</news:title>
   <news:publication_date>2026-08-30T18:57:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729021</loc>
  <lastmod>2026-08-30T18:56:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ナノワイヤ電界効果センサーのベイズ逆問題（Bayesian inversion for nanowire field-effect sensors）</news:title>
   <news:publication_date>2026-08-30T18:56:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729019</loc>
  <lastmod>2026-08-30T18:56:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DAEベースの歌声分離における写像関数の解明（EXAMINING THE MAPPING FUNCTIONS OF DENOISING AUTOENCODERS IN SINGING VOICE SEPARATION）</news:title>
   <news:publication_date>2026-08-30T18:56:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729017</loc>
  <lastmod>2026-08-30T18:56:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>NEOCamによる外宇宙時間領域天文学の機会（Opportunities in Time-Domain Extragalactic Astrophysics with the NASA Near-Earth Object Camera (NEOCam))</news:title>
   <news:publication_date>2026-08-30T18:56:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729015</loc>
  <lastmod>2026-08-30T18:55:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SDC特徴の訓練法に関する実証的評価（An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching）</news:title>
   <news:publication_date>2026-08-30T18:55:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729013</loc>
  <lastmod>2026-08-30T18:04:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ピクセル領域における幅ベース計画の深層方策（Deep Policies for Width-Based Planning in Pixel Domains）</news:title>
   <news:publication_date>2026-08-30T18:04:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729011</loc>
  <lastmod>2026-08-30T18:04:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>直接撮像による系外惑星発見の限界を押し上げる深層学習（Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning）</news:title>
   <news:publication_date>2026-08-30T18:04:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729009</loc>
  <lastmod>2026-08-30T18:03:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>幾何学考慮型最大尤度法による内在次元推定（Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension）</news:title>
   <news:publication_date>2026-08-30T18:03:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729007</loc>
  <lastmod>2026-08-30T18:03:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>計測インフラからのストリーミング特徴ベース圧縮法（A streaming feature-based compression method for data from instrumented infrastructure）</news:title>
   <news:publication_date>2026-08-30T18:03:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729005</loc>
  <lastmod>2026-08-30T18:02:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>写真のような画像操作に向けた生成型オートエンコーダのバランス成長（Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders）</news:title>
   <news:publication_date>2026-08-30T18:02:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729003</loc>
  <lastmod>2026-08-30T18:02:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>指先で触らず操作するインターフェース（AirPen: A Touchless Fingertip Based Gestural Interface for Smartphones and Head-Mounted Devices）</news:title>
   <news:publication_date>2026-08-30T18:02:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/729001</loc>
  <lastmod>2026-08-30T18:02:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トリミングと固有値比制約による頑健なモデルベース分類（A robust approach to model-based classification based on trimming and constraints）</news:title>
   <news:publication_date>2026-08-30T18:02:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728999</loc>
  <lastmod>2026-08-30T17:10:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PWOC-3Dによる3Dシーンフロー推定の効率化（PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation）</news:title>
   <news:publication_date>2026-08-30T17:10:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728997</loc>
  <lastmod>2026-08-30T17:10:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>能力とコンテキストに基づく適応システムの提案（Ability and Context Based Adaptive System: A Proposal for Machine Learning Approach）</news:title>
   <news:publication_date>2026-08-30T17:10:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728995</loc>
  <lastmod>2026-08-30T17:10:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顔のデオクルージョン：3Dモーファブルモデルと生成的敵対ネットワークによる手法（Face De-occlusion using 3D Morphable Model and Generative Adversarial Network）</news:title>
   <news:publication_date>2026-08-30T17:10:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728993</loc>
  <lastmod>2026-08-30T17:09:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>VOiCES遠距離チャレンジに向けたSTCの話者認識システム（STC Speaker Recognition Systems for the VOiCES From a Distance Challenge）</news:title>
   <news:publication_date>2026-08-30T17:09:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728991</loc>
  <lastmod>2026-08-30T17:09:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層単一画像超解像の敵対的攻撃に対する頑健性評価（Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks）</news:title>
   <news:publication_date>2026-08-30T17:09:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728989</loc>
  <lastmod>2026-08-30T17:09:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>断面画像から3D複合材料の熱伝導を予測する深層学習手法（Deep learning methods based on cross-section images for predicting effective thermal conductivity of composites）</news:title>
   <news:publication_date>2026-08-30T17:09:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728987</loc>
  <lastmod>2026-08-30T17:09:19Z</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におけるテキスト正規化のためのSeq2Seq適応（Adapting Sequence to Sequence models for Text Normalization in Social Media）</news:title>
   <news:publication_date>2026-08-30T17:09:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728985</loc>
  <lastmod>2026-08-30T16:18:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エゴセン視線予測の深掘り（Digging Deeper into Egocentric Gaze Prediction）</news:title>
   <news:publication_date>2026-08-30T16:18:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728983</loc>
  <lastmod>2026-08-30T16:18:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフウェーブレットニューラルネットワーク（Graph Wavelet Neural Network）</news:title>
   <news:publication_date>2026-08-30T16:18:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728981</loc>
  <lastmod>2026-08-30T16:17:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分離表現学習に基づく教師なし音声ドメイン適応による堅牢な音声認識（Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition）</news:title>
   <news:publication_date>2026-08-30T16:17:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728979</loc>
  <lastmod>2026-08-30T16:16:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異種分類器の統合と蒸留による知識融合（Unifying Heterogeneous Classiﬁers with Distillation）</news:title>
   <news:publication_date>2026-08-30T16:16:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728977</loc>
  <lastmod>2026-08-30T16:16:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SDNにおけるスケジューリング関数設計を強化学習で最適化する手法（Effective Scheduling Function Design in SDN through Deep Reinforcement Learning）</news:title>
   <news:publication_date>2026-08-30T16:16:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728975</loc>
  <lastmod>2026-08-30T16:16:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>プライバシー保護のための分散レイヤ分割学習（Distributed Layer-Partitioned Training for Privacy-Preserved Deep Learning）</news:title>
   <news:publication_date>2026-08-30T16:16:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728973</loc>
  <lastmod>2026-08-30T16:16:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超音波舌画像を用いた音声からの発話器予測（DNN-based Acoustic-to-Articulatory Inversion using Ultrasound Tongue Imaging）</news:title>
   <news:publication_date>2026-08-30T16:16:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728971</loc>
  <lastmod>2026-08-30T15:23:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習で位相図を読み解く──1次元拡張ハバード模型の事例研究（Machine Learning Phase Diagram in the Half-filled One-dimensional Extended Hubbard Model）</news:title>
   <news:publication_date>2026-08-30T15:23:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728969</loc>
  <lastmod>2026-08-30T15:14:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>言語と視覚モデルの表現ハブを評価する（Evaluating the Representational Hub of Language and Vision Models）</news:title>
   <news:publication_date>2026-08-30T15:14:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728967</loc>
  <lastmod>2026-08-30T15:14:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>直接音声間翻訳の実現（Direct speech-to-speech translation with a sequence-to-sequence model）</news:title>
   <news:publication_date>2026-08-30T15:14:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728965</loc>
  <lastmod>2026-08-30T15:13:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-30T15:13:53Z</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>2026-08-30T15:13:20Z</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>2026-08-30T15:13:15Z</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>2026-08-30T15:13:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テンソルスパースPCAと顔認識（Tensor Sparse PCA and Face Recognition）</news:title>
   <news:publication_date>2026-08-30T14:22:08Z</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>
   </news:publication>
   <news:title>生成的敵対ネットワークを用いた人物再識別の入門（An Introduction to Person Re-identification with Generative Adversarial Networks）</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>マルチモーダル音声感情認識と曖昧さの解消（Multimodal Speech Emotion Recognition and Ambiguity Resolution）</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>CramNetによるニューラルネットワーク圧縮（CramNet: Network Compression via Teacher Networks）</news:title>
   <news:publication_date>2026-08-30T14:20:56Z</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>2026-08-30T14:20:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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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>2026-08-30T14:20:07Z</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>タスクに応じて特徴を作り替える学習：TAFE-Netの要点（TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning）</news:title>
   <news:publication_date>2026-08-30T13:28:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-30T13:20:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>点群データの重要点を残すダウンサンプリングの新提案（Adaptive Hierarchical Down-Sampling for Point Cloud Classification）</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>複雑語の識別における強力な基線（Strong Baselines for Complex Word Identification）</news:title>
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   <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>分散学習における頑健なコアセット構築（Robust Coreset Construction for Distributed Machine Learning）</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>
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   <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: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:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>単一チャネル睡眠ステージ分類における深層転移学習（Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728923</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>自己相似負荷分散法によるネットワーク侵入検知の効率化（Method of Self-Similar Load Balancing in Network Intrusion Detection System）</news:title>
   <news:publication_date>2026-08-30T12:25:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728921</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>障壁オプションに対する深層学習ベースの数値BSDE法（Deep-learning based numerical BSDE method for barrier options）</news:title>
   <news:publication_date>2026-08-30T12:25:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728919</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>Ranking-Based Autoencoderによる極端多ラベル分類の革新（Ranking-Based Autoencoder for Extreme Multi-label Classification）</news:title>
   <news:publication_date>2026-08-30T12:25:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728917</loc>
  <lastmod>2026-08-30T12:25:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>極端な暗所撮影におけるカメラパイプライン学習（Learning Digital Camera Pipeline for Extreme Low-Light Imaging）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728915</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>高速で動く天体の自動検出を実用化したDeepStreaks（DeepStreaks: identifying fast-moving objects in the Zwicky Transient Facility data with deep learning）</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>顧客行動の高度予測と階層型エンコーダ・デコーダ（Advanced Customer Activity Prediction based on Deep Hierarchic Encoder-Decoders）</news:title>
   <news:publication_date>2026-08-30T11:33:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728911</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>希少クラスの一般化を高める合成例の有効性（Synthetic Examples Improve Generalization for Rare Classes）</news:title>
   <news:publication_date>2026-08-30T11:33:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子密度行列を機械学習で推定する手法（Inferring the quantum density matrix with machine learning）</news:title>
   <news:publication_date>2026-08-30T11:32:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>複数教師から知識を移す「Knowledge Flow」の実用的意義（KNOWLEDGE FLOW: IMPROVE UPON YOUR TEACHERS）</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>
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   <news:title>最大スライス・ワッサースタイン距離とGANへの応用 (Max-Sliced Wasserstein Distance and its use for GANs)</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>行列積演算子による深層ニューラルネットワークの圧縮（Compressing deep neural networks by matrix product operators）</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>音声映像に基づく場面認識対話のシンプルな基準（A Simple Baseline for Audio-Visual Scene-Aware Dialog）</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>
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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>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-30T10:39:38Z</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>2026-08-30T10:39:32Z</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>生音から学ぶ音声認識の革命（wav2vec: Unsupervised Pre-training for Speech Recognition）</news:title>
   <news:publication_date>2026-08-30T09:48:25Z</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>適応制御と機械学習における最適化の接点（Connections Between Adaptive Control and Optimization in Machine Learning）</news:title>
   <news:publication_date>2026-08-30T09:48:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728883</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>コロケーション点最適化を機械学習で行う手法（Machine learning optimization of the collocation point set for solving the Kohn-Sham equation）</news:title>
   <news:publication_date>2026-08-30T09:47:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-30T09:47:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Variational Information Distillationによる知識伝達の再構築（Variational Information Distillation for Knowledge Transfer）</news:title>
   <news:publication_date>2026-08-30T09:47:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728879</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>マルチアテンションによるインスタンス動画分割の新展開（Multi-Attention Instance Network for Video Segmentation）</news:title>
   <news:publication_date>2026-08-30T09:46:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728877</loc>
  <lastmod>2026-08-30T09:46:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一カメラでの深度推定におけるデュアルピクセル活用の革新（Learning Single Camera Depth Estimation using Dual-Pixels）</news:title>
   <news:publication_date>2026-08-30T09:46:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728875</loc>
  <lastmod>2026-08-30T09:46:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RNNを集合（セット）予測に適応する手法の要点（Adapting RNN Sequence Prediction Model to Multi-label Set Prediction）</news:title>
   <news:publication_date>2026-08-30T09:46:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728873</loc>
  <lastmod>2026-08-30T08:53:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GP-HDによる医療領域の力学系モデル生成（GP‑HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care）</news:title>
   <news:publication_date>2026-08-30T08:53:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728871</loc>
  <lastmod>2026-08-30T08:53:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Birkhoff多面体のリーマン幾何に基づく確率的順列同期（Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope）</news:title>
   <news:publication_date>2026-08-30T08:53:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728869</loc>
  <lastmod>2026-08-30T08:53:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>関係を考慮するグラフ注意（Relational Graph Attention Networks）</news:title>
   <news:publication_date>2026-08-30T08:53:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728867</loc>
  <lastmod>2026-08-30T08:53:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>困難認識型画像超解像（DIFFICULTY-AWARE IMAGE SUPER RESOLUTION VIA DEEP ADAPTIVE DUAL-NETWORK）</news:title>
   <news:publication_date>2026-08-30T08:53:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728865</loc>
  <lastmod>2026-08-30T08:53:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>理論とアルゴリズムをつなぐドメイン適応の展開（Bridging Theory and Algorithm for Domain Adaptation）</news:title>
   <news:publication_date>2026-08-30T08:53:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728863</loc>
  <lastmod>2026-08-30T08:52:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>手と操作対象の同時復元を学習する手法（Learning joint reconstruction of hands and manipulated objects）</news:title>
   <news:publication_date>2026-08-30T08:52:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728861</loc>
  <lastmod>2026-08-30T08:52:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MRIのみで脳放射線治療を目指す道（MRI-only brain radiotherapy: assessing the dosimetric accuracy of synthetic CT images generated using a deep learning approach）</news:title>
   <news:publication_date>2026-08-30T08:52:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728859</loc>
  <lastmod>2026-08-30T08:00:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ベイズ多目的最適化におけるスカラライジング関数の役割（Scalarizing Functions in Bayesian Multiobjective Optimization）</news:title>
   <news:publication_date>2026-08-30T08:00:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728857</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>検索アルゴリズム選択のための公理的特徴によるメタラーニング（Investigating Retrieval Method Selection with Axiomatic Features）</news:title>
   <news:publication_date>2026-08-30T08:00:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728855</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>オープンセットカメラモデル識別の深掘り（An In-Depth Study on Open-Set Camera Model Identification）</news:title>
   <news:publication_date>2026-08-30T08:00:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728853</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>トピック横断的分布意味表現の無監督マッピング（Cross-topic distributional semantic representations via unsupervised mappings）</news:title>
   <news:publication_date>2026-08-30T07:59:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728851</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>2026-08-30T07:59:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728849</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>ロボット写真家による人物撮影学習（Learning to Take Good Pictures of People with a Robot Photographer）</news:title>
   <news:publication_date>2026-08-30T07:59:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728847</loc>
  <lastmod>2026-08-30T07:58:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>空撮画像のための関係増強型全畳み込みネットワーク（A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes）</news:title>
   <news:publication_date>2026-08-30T07:58:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728845</loc>
  <lastmod>2026-08-30T07:07:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タスク適応型メタ学習器の混合（MxML: Mixture of Meta-Learners for Few-Shot Classification）</news:title>
   <news:publication_date>2026-08-30T07:07:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728843</loc>
  <lastmod>2026-08-30T07:07:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラウドのテレメトリでDoSを見抜く――機械学習による攻撃検知の新視点（On Machine Learning DoS Attack Identification from Cloud Computing Telemetry）</news:title>
   <news:publication_date>2026-08-30T07:07:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728841</loc>
  <lastmod>2026-08-30T07:06:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>水中ガス漏洩検知の機械学習アプローチ（A machine learning approach for underwater gas leakage detection）</news:title>
   <news:publication_date>2026-08-30T07:06:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728839</loc>
  <lastmod>2026-08-30T07:06:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>要素ごとの乗算で簡潔化したオンラインNewton法（Modified online Newton step based on element wise multiplication）</news:title>
   <news:publication_date>2026-08-30T07:06:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728837</loc>
  <lastmod>2026-08-30T07:06:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>拡張マルチスケール畳み込みによる網膜血管セグメンテーション（Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network）</news:title>
   <news:publication_date>2026-08-30T07:06:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728835</loc>
  <lastmod>2026-08-30T07:06:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最適制御としての深層学習（Deep Learning as Optimal Control Problems: Models and Numerical Methods）</news:title>
   <news:publication_date>2026-08-30T07:06:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728833</loc>
  <lastmod>2026-08-30T07:06:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>C-MILによる弱教師あり物体検出の打破（Continuation Multiple Instance Learning for Weakly Supervised Object Detection）</news:title>
   <news:publication_date>2026-08-30T07:06:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728831</loc>
  <lastmod>2026-08-30T06:14:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己回帰エネルギーマシンの要点解説（Autoregressive Energy Machines）</news:title>
   <news:publication_date>2026-08-30T06:14:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728829</loc>
  <lastmod>2026-08-30T06:14:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>繰り返し出現する物体の検出と計数（Detecting Repeating Objects using Patch Correlation Analysis）</news:title>
   <news:publication_date>2026-08-30T06:14:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728827</loc>
  <lastmod>2026-08-30T06:14:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模データに効く確率的LBFGSアルゴリズムの本質（A STOCHASTIC LBFGS ALGORITHM FOR RADIO INTERFEROMETRIC CALIBRATION）</news:title>
   <news:publication_date>2026-08-30T06:14:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728825</loc>
  <lastmod>2026-08-30T06:13:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラスタリングに基づくマルチユーザ大規模MIMOのハイブリッドプリコーディング設計（Clustering Based Hybrid Precoding Design for Multi-User Massive MIMO Systems）</news:title>
   <news:publication_date>2026-08-30T06:13:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728823</loc>
  <lastmod>2026-08-30T06:13:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ブラックボックス決定ベース攻撃と対称α安定分布（Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution）</news:title>
   <news:publication_date>2026-08-30T06:13:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728821</loc>
  <lastmod>2026-08-30T06:13:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多言語対話行為認識のための深層学習アプローチ（Multi-lingual Dialogue Act Recognition with Deep Learning Methods）</news:title>
   <news:publication_date>2026-08-30T06:13:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-30T06:13:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-30T06:13:11Z</news:publication_date>
   <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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   <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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   <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>2026-08-30T05:21:59Z</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>3D Dense Face Alignmentをグラフ畳み込みで実現する（3D Dense Face Alignment via Graph Convolution Networks）</news:title>
   <news:publication_date>2026-08-30T05:20:57Z</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>2026-08-30T05:20:46Z</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>構造と部分観測に基づく視覚対話の推論（Reasoning Visual Dialogs with Structural and Partial Observations）</news:title>
   <news:publication_date>2026-08-30T05:20:41Z</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>ASVspoof2019に対するSTCの反なりすまし（antispoofing）システム（STC Antispoofing Systems for the ASVspoof2019 Challenge）</news:title>
   <news:publication_date>2026-08-30T05:20:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728803</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>UniVSEによる視覚と言語の統合埋め込み（UniVSE: Robust Visual Semantic Embeddings via Structured Semantic Representations）</news:title>
   <news:publication_date>2026-08-30T04:28:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラル文埋め込みのスケーラブルなクロスリンガル転移（Scalable Cross-Lingual Transfer of Neural Sentence Embeddings）</news:title>
   <news:publication_date>2026-08-30T04:21:13Z</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>削除チャネルにおける母集団復元の研究（Beyond trace reconstruction: Population recovery from the deletion channel）</news:title>
   <news:publication_date>2026-08-30T04:20:29Z</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>外見からの先見性で未知の道具を使いこなすロボット（Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight）</news:title>
   <news:publication_date>2026-08-30T04:20:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>高相関下での制限等長性の再考（Restricted Isometry Property under High Correlations）</news:title>
   <news:publication_date>2026-08-30T04:19:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-30T03:26:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-30T03:26:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CNNに基づくサーモグラフィによるコンクリート剥離分離セグメンテーション（CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography）</news:title>
   <news:publication_date>2026-08-30T03:26:08Z</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>量子に触発された計算――脳の微視的計算モデルになり得るか（Quantum-Inspired Computing: Can it be a Microscopic Computing Model of the Brain?）</news:title>
   <news:publication_date>2026-08-30T03:25:57Z</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>効率的な分散ワークロードの再埋め込み（Efficient Distributed Workload (Re-)Embedding）</news:title>
   <news:publication_date>2026-08-30T03:25:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-30T03:24:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-30T03:24:45Z</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>深層ニューラルネットワークのアンサンブル手法（Deep Neural Network Ensembles）</news:title>
   <news:publication_date>2026-08-30T03:24:34Z</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>2026-08-30T02:32:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728773</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>2026-08-30T02:23:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728767</loc>
  <lastmod>2026-08-30T02:22:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>原子探針トモグラフィにおけるフェーズセグメンテーション（Phase Segmentation in Atom-Probe Tomography Using Deep Learning-Based Edge Detection）</news:title>
   <news:publication_date>2026-08-30T02:22:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728765</loc>
  <lastmod>2026-08-30T02:22:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>部分木カーネルの重み関数が決定的である（The Weight Function in the Subtree Kernel is Decisive）</news:title>
   <news:publication_date>2026-08-30T02:22:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728763</loc>
  <lastmod>2026-08-30T02:22:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低資源言語向けの根拠ある教師なし品詞タグ付け（A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages）</news:title>
   <news:publication_date>2026-08-30T02:22:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728761</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>交差的バイアスを可視化して発見するためのFAIRVIS（FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning）</news:title>
   <news:publication_date>2026-08-30T01:30:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-30T01:30:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>偏微分方程式の前方・逆問題を無監督で解くニューラル法（Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems）</news:title>
   <news:publication_date>2026-08-30T01:30:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-30T01:30:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>システムトレース復元のための深層学習（Deep Learning for System Trace Restoration）</news:title>
   <news:publication_date>2026-08-30T01:30:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728755</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>L1直交正則化による深層ニューラルネットワークの決定木解釈の強化 (Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization)</news:title>
   <news:publication_date>2026-08-30T01:29:11Z</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>球面回帰による連続値推定の安定化（Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres）</news:title>
   <news:publication_date>2026-08-30T01:29:00Z</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>
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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>
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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>
  <loc>https://aibr.jp/archives/728745</loc>
  <lastmod>2026-08-30T00:36:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重みの転送なしで深層学習を可能にする仕組み（Deep Learning without Weight Transport）</news:title>
   <news:publication_date>2026-08-30T00:36:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728743</loc>
  <lastmod>2026-08-30T00:36:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Trusted CIによるオープンサイエンス向けサイバーセキュリティの実務モデル（Trusted CI Experiences in Cybersecurity and Service to Open Science）</news:title>
   <news:publication_date>2026-08-30T00:36:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728741</loc>
  <lastmod>2026-08-30T00:35:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高度にパラメータ化されたSYCLカーネルによるクロスプラットフォーム性能ポータビリティ（Cross-Platform Performance Portability Using Highly Parametrized SYCL Kernels）</news:title>
   <news:publication_date>2026-08-30T00:35:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728739</loc>
  <lastmod>2026-08-30T00:35:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ピクセル適応畳み込みニューラルネットワーク（Pixel-Adaptive Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-08-30T00:35:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728737</loc>
  <lastmod>2026-08-30T00:35:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スキャナー不変表現による拡散MRIのハーモナイズ（Scanner Invariant Representations for Diffusion MRI Harmonization）</news:title>
   <news:publication_date>2026-08-30T00:35:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728735</loc>
  <lastmod>2026-08-30T00:35:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ReinBoによるパイプライン探索と設定の統合（ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning）</news:title>
   <news:publication_date>2026-08-30T00:35:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728733</loc>
  <lastmod>2026-08-29T23:43:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習の選択的概観（A Selective Overview of Deep Learning）</news:title>
   <news:publication_date>2026-08-29T23:43:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728731</loc>
  <lastmod>2026-08-29T23:43:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>StegaStamp: 物理写真に埋め込む不可視ハイパーリンクの可能性（StegaStamp: Invisible Hyperlinks in Physical Photographs）</news:title>
   <news:publication_date>2026-08-29T23:43:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728729</loc>
  <lastmod>2026-08-29T23:42:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ClinicalBERTによる臨床ノートの表現化と再入院予測（ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission）</news:title>
   <news:publication_date>2026-08-29T23:42:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728727</loc>
  <lastmod>2026-08-29T23:41:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハイパーパーティザンニュース検出におけるBERTの実用性（Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector）</news:title>
   <news:publication_date>2026-08-29T23:41:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728725</loc>
  <lastmod>2026-08-29T23:41:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>希少特徴の選択と集約のための正則化回帰の新しい計算的・統計的側面（New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation）</news:title>
   <news:publication_date>2026-08-29T23:41:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728723</loc>
  <lastmod>2026-08-29T23:41:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ツイート中の薬物言及を検出する深層ニューラルネットワークのアンサンブル（Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets）</news:title>
   <news:publication_date>2026-08-29T23:41:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728721</loc>
  <lastmod>2026-08-29T23:41:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リアルタイムでの非線形弾性材料シミュレーションをDeep Learningで実現する（Simulation of hyperelastic materials in real-time using Deep Learning）</news:title>
   <news:publication_date>2026-08-29T23:41:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728719</loc>
  <lastmod>2026-08-29T22:49:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復残差改良による光学フローとオクルージョンの共同推定（Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation）</news:title>
   <news:publication_date>2026-08-29T22:49:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728717</loc>
  <lastmod>2026-08-29T22:49:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自然言語質問応答の進展（Advances in Natural Language Question Answering）</news:title>
   <news:publication_date>2026-08-29T22:49:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728715</loc>
  <lastmod>2026-08-29T22:48:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラスタ－ブースターによるアプリケーション性能改善（Application performance on a Cluster-Booster system）</news:title>
   <news:publication_date>2026-08-29T22:48:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728713</loc>
  <lastmod>2026-08-29T22:48:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スキップ接続を持つ深層ニューラルネットワークモデルに対する勾配降下法の解析（Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections）</news:title>
   <news:publication_date>2026-08-29T22:48:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728711</loc>
  <lastmod>2026-08-29T22:48:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電気抵抗率データのディープラーニング反転（Deep Learning Inversion of Electrical Resistivity Data）</news:title>
   <news:publication_date>2026-08-29T22:48:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728709</loc>
  <lastmod>2026-08-29T22:48:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不均衡な観測データからの意思決定に効く能動学習（Active Learning for Decision-Making from Imbalanced Observational Data）</news:title>
   <news:publication_date>2026-08-29T22:48:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728707</loc>
  <lastmod>2026-08-29T22:47:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ワンショット音声変換で見えた「話者」と「内容」の分離（One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization）</news:title>
   <news:publication_date>2026-08-29T22:47:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728705</loc>
  <lastmod>2026-08-29T21:56:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数UAVネットワークにおける強化学習による配備と動作設計（Reinforcement Learning in Multiple-UAV Networks: Deployment and Movement Design）</news:title>
   <news:publication_date>2026-08-29T21:56:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728703</loc>
  <lastmod>2026-08-29T21:37:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己符号化器による超音波無音音声の調音―音響マッピング（Autoencoder-Based Articulatory-to-Acoustic Mapping for Ultrasound Silent Speech Interfaces）</news:title>
   <news:publication_date>2026-08-29T21:37:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728701</loc>
  <lastmod>2026-08-29T21:37:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生物画像のインスタンスセグメンテーションにおけるハーモニック埋め込み（Instance Segmentation of Biological Images Using Harmonic Embeddings）</news:title>
   <news:publication_date>2026-08-29T21:37:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728699</loc>
  <lastmod>2026-08-29T21:36:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多様性を促すAttraction-Repulsionクラスタリング（Attraction-Repulsion clustering with applications to fairness）</news:title>
   <news:publication_date>2026-08-29T21:36:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728697</loc>
  <lastmod>2026-08-29T21:35:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一人称視点映像で「次に触る物体」を予測する（Next-Active-Object prediction from Egocentric Videos）</news:title>
   <news:publication_date>2026-08-29T21:35:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728695</loc>
  <lastmod>2026-08-29T21:35:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生体データを使ったプロアクティブ観光レコメンデーション（A Model for Using Physiological Conditions for Proactive Tourist Recommendations）</news:title>
   <news:publication_date>2026-08-29T21:35:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728693</loc>
  <lastmod>2026-08-29T21:35:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>期待伝播による圧縮センシング再構成（Compressed sensing reconstruction using Expectation Propagation）</news:title>
   <news:publication_date>2026-08-29T21:35:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728691</loc>
  <lastmod>2026-08-29T20:44:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロボットのペグ挿入戦略：接触モデルベース制御とモデルフリー学習の比較（Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies）</news:title>
   <news:publication_date>2026-08-29T20:44:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728689</loc>
  <lastmod>2026-08-29T20:44:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生検画像の色補正で小腸病変を分類するCNN（Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-08-29T20:44:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728687</loc>
  <lastmod>2026-08-29T20:43:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>名前に何があるのか（What’s in a Name? Reducing Bias in Bios without Access to Protected Attributes）</news:title>
   <news:publication_date>2026-08-29T20:43:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728685</loc>
  <lastmod>2026-08-29T20:43:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>境界を知る：変分調和特徴によるガウス過程の制約（Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features）</news:title>
   <news:publication_date>2026-08-29T20:43:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728683</loc>
  <lastmod>2026-08-29T20:42:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>浅いMCTSを用いた安全な深層強化学習（Safer Deep RL with Shallow MCTS: A Case Study in Pommerman）</news:title>
   <news:publication_date>2026-08-29T20:42:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728681</loc>
  <lastmod>2026-08-29T20:42:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>数学的形態学とヒルベルト変換による自動核検出（Combining Mathematical Morphology and the Hilbert Transform for Fully Automatic Nuclei Detection in Fluorescence Microscopy）</news:title>
   <news:publication_date>2026-08-29T20:42:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728679</loc>
  <lastmod>2026-08-29T20:42:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異なる音イベントを暗黙的に識別することで実現する音響シーン分類（Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events）</news:title>
   <news:publication_date>2026-08-29T20:42:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728677</loc>
  <lastmod>2026-08-29T19:50:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフの位相情報で論文分野を分類する（Topological based classification of paper domains using graph convolutional networks）</news:title>
   <news:publication_date>2026-08-29T19:50:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728675</loc>
  <lastmod>2026-08-29T19:50:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチカーネルによる能動的ドメイン適応で高精度化するハイパースペクトル画像分類（Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification）</news:title>
   <news:publication_date>2026-08-29T19:50:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728673</loc>
  <lastmod>2026-08-29T19:49:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D脳超音波における弱教師あり白質・灰白質セグメンテーション（Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound）</news:title>
   <news:publication_date>2026-08-29T19:49:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728671</loc>
  <lastmod>2026-08-29T19:49:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>再現核ヒルベルト空間に基づくlog-rank検定（二標本問題） (A Reproducing-Kernel-Hilbert-Space log-rank test for the two-sample problem)</news:title>
   <news:publication_date>2026-08-29T19:49:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728669</loc>
  <lastmod>2026-08-29T19:49:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子多体系のスカースとAKLT模型の結びつき（Connection between quantum-many-body scars and the AKLT model from the viewpoint of embedded Hamiltonians）</news:title>
   <news:publication_date>2026-08-29T19:49:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728667</loc>
  <lastmod>2026-08-29T19:49:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オーディオ雑音のパワー・スペクトル密度推定（Audio-noise Power Spectral Density Estimation Using Long Short-term Memory）</news:title>
   <news:publication_date>2026-08-29T19:49:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728665</loc>
  <lastmod>2026-08-29T19:48:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動画認識モデルに対するブラックボックス敵対的攻撃の実現（Black-box Adversarial Attacks on Video Recognition Models）</news:title>
   <news:publication_date>2026-08-29T19:48:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728663</loc>
  <lastmod>2026-08-29T18:57:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>因果埋め込みによる推薦の再考（Causal Embeddings for Recommendation: An Extended Abstract）</news:title>
   <news:publication_date>2026-08-29T18:57:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728661</loc>
  <lastmod>2026-08-29T18:56:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>攻撃的表現分類のための言語学的強化深層学習アンサンブル（NLPR@SRPOL at SemEval-2019 Task 6 and Task 5: Linguistically enhanced deep learning offensive sentence classifier）</news:title>
   <news:publication_date>2026-08-29T18:56:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728659</loc>
  <lastmod>2026-08-29T18:56:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オープン長尾認識（Large-Scale Long-Tailed Recognition in an Open World）</news:title>
   <news:publication_date>2026-08-29T18:56:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728657</loc>
  <lastmod>2026-08-29T18:56:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電気自動車充電の文脈付きバンディット制御（Charging control of electric vehicles using contextual bandits considering the electrical distribution grid）</news:title>
   <news:publication_date>2026-08-29T18:56:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728655</loc>
  <lastmod>2026-08-29T18:55:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>逐次的な物体分割におけるActor-Criticの提案（Actor-Critic Instance Segmentation）</news:title>
   <news:publication_date>2026-08-29T18:55:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728653</loc>
  <lastmod>2026-08-29T18:55:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>新規視点予測のための生成的敵対クエリネットワーク（Predicting Novel Views Using Generative Adversarial Query Network）</news:title>
   <news:publication_date>2026-08-29T18:55:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728651</loc>
  <lastmod>2026-08-29T18:55:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>将来のソーシャルボットを先回りする—敵対的進化を用いた検出強化（Better Safe Than Sorry: an Adversarial Approach to improve Social Bot Detection）</news:title>
   <news:publication_date>2026-08-29T18:55:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728649</loc>
  <lastmod>2026-08-29T18:04:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>勾配量子化と分散学習における分散最適化の改善（Stochastic Distributed Learning with Gradient Quantization and Variance Reduction）</news:title>
   <news:publication_date>2026-08-29T18:04:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728647</loc>
  <lastmod>2026-08-29T18:03:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>知識絞り込み型敵対的ネットワーク圧縮（Knowledge Squeezed Adversarial Network Compression）</news:title>
   <news:publication_date>2026-08-29T18:03:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728645</loc>
  <lastmod>2026-08-29T18:03:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>空中操作用クアッドロータの2リンクマニピュレータ設計（Quadrotor Manipulation System）</news:title>
   <news:publication_date>2026-08-29T18:03:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728643</loc>
  <lastmod>2026-08-29T18:03:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ConvAix：CNN加速のためのアプリケーション特化VLIWプロセッサとベクタ命令セット（An Application-Specific VLIW Processor with Vector Instruction Set for CNN Acceleration）</news:title>
   <news:publication_date>2026-08-29T18:03:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728641</loc>
  <lastmod>2026-08-29T18:03:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SATB合唱録音におけるマルチf0モデリングの枠組み（A Framework for Multi-f0 Modeling in SATB Choir Recordings）</news:title>
   <news:publication_date>2026-08-29T18:03:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728639</loc>
  <lastmod>2026-08-29T18:02:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチタスクHopfieldネットワークの提案（Multitask Hopfield Networks）</news:title>
   <news:publication_date>2026-08-29T18:02:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728637</loc>
  <lastmod>2026-08-29T18:02:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RawNet: 生波形から直接音声を合成するエンドツーエンドボコーダー（RawNet: Fast End-to-End Neural Vocoder）</news:title>
   <news:publication_date>2026-08-29T18:02:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728635</loc>
  <lastmod>2026-08-29T17:11:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少データで音声認識を実用に近づける試み（From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings）</news:title>
   <news:publication_date>2026-08-29T17:11:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728633</loc>
  <lastmod>2026-08-29T17:11:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Neuralogramによる音声理解の新しい表現（NEURALOGRAM: A NEURAL NETWORK BASED REPRESENTATION FOR UNDERSTANDING AUDIO SIGNALS）</news:title>
   <news:publication_date>2026-08-29T17:11:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728631</loc>
  <lastmod>2026-08-29T17:11:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低コスト分光器を用いた偽造医薬品および汚染食品の検出（Low-cost spectrogram based counterfeit medicine and contaminated food detection）</news:title>
   <news:publication_date>2026-08-29T17:11:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728629</loc>
  <lastmod>2026-08-29T17:10:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子系の固有モード抽出のための一般化独立成分分析（Generalized Independent Component Analysis for Extracting Eigen-Modes of a Quantum System）</news:title>
   <news:publication_date>2026-08-29T17:10:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728627</loc>
  <lastmod>2026-08-29T17:10:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子版カクテルパーティ問題の登場（The Quantum Cocktail Party Problem）</news:title>
   <news:publication_date>2026-08-29T17:10:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728625</loc>
  <lastmod>2026-08-29T17:10:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>関係的知識蒸留（Relational Knowledge Distillation）</news:title>
   <news:publication_date>2026-08-29T17:10:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728623</loc>
  <lastmod>2026-08-29T17:10:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Neural Turing Machineの総説（A review on Neural Turing Machine）</news:title>
   <news:publication_date>2026-08-29T17:10:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728621</loc>
  <lastmod>2026-08-29T16:18:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>小型モデルで年齢推定の精度限界に挑む — C3AE（C3AE: Exploring the Limits of Compact Model for Age Estimation）</news:title>
   <news:publication_date>2026-08-29T16:18:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728619</loc>
  <lastmod>2026-08-29T16:18:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>弱教師あり変分アプローチによる文書レベル多側面感情分類（A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification）</news:title>
   <news:publication_date>2026-08-29T16:18:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728617</loc>
  <lastmod>2026-08-29T16:17:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ノイズだらけの短文からサイバー攻撃を見つける技術（Detecting Cybersecurity Events from Noisy Short Text）</news:title>
   <news:publication_date>2026-08-29T16:17:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728615</loc>
  <lastmod>2026-08-29T16:17:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少数例から学ぶ機械学習の概観（Generalizing from a Few Examples: A Survey on Few-Shot Learning）</news:title>
   <news:publication_date>2026-08-29T16:17:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728613</loc>
  <lastmod>2026-08-29T16:17:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大雨画像のレストア：物理モデルと条件付き敵対学習の統合（Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning）</news:title>
   <news:publication_date>2026-08-29T16:17:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728611</loc>
  <lastmod>2026-08-29T16:16:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タンパク質のシグナル機能を予測する星型グラフ記述子と機械学習（Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models）</news:title>
   <news:publication_date>2026-08-29T16:16:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728609</loc>
  <lastmod>2026-08-29T16:16:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像ラベルのみで個別物体を分割する技術の要点解説（Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations）</news:title>
   <news:publication_date>2026-08-29T16:16:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728607</loc>
  <lastmod>2026-08-29T15:24:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サムネイル一枚ですべて足りる認識（ThumbNet: One Thumbnail Image Contains All You Need for Recognition）</news:title>
   <news:publication_date>2026-08-29T15:24:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728605</loc>
  <lastmod>2026-08-29T15:13:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分布モデリングと安定化制御の実現に向けて（Distribution Modeling and Stabilization Control for Discrete-Time Linear Random Dynamical Systems Using Ensemble Kalman Filter）</news:title>
   <news:publication_date>2026-08-29T15:13:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-29T15:13:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>n-グラム情報を切り離すことで改善される単語埋め込み（Better Word Embeddings by Disentangling Contextual n-Gram Information）</news:title>
   <news:publication_date>2026-08-29T15:13:20Z</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>誤文訂正のためのコーパス生成（Corpora Generation for Grammatical Error Correction）</news:title>
   <news:publication_date>2026-08-29T15:12:46Z</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>ファジィ適応型TLBOによる混合強度t-wayテスト生成（Fuzzy Adaptive TLBO for Mixed-Strength t-way Test Suite Generation）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728597</loc>
  <lastmod>2026-08-29T15:12:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所記述子学習のための二次類似性正則化（SOSNet: Second Order Similarity Regularization for Local Descriptor Learning）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728595</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>DSNet: 軽量で高速な道路シーン分割の実践的設計（DSNet: An Efficient CNN for Road Scene Segmentation）</news:title>
   <news:publication_date>2026-08-29T15:12:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728593</loc>
  <lastmod>2026-08-29T14:20:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特権情報を用いた計量学習による人物再識別（Person Re-identification with Metric Learning using Privileged Information）</news:title>
   <news:publication_date>2026-08-29T14:20:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728591</loc>
  <lastmod>2026-08-29T14:20:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>硬X線立波光電子分光が明らかにするエピタキシャルFe/MgO多層磁気トンネル接合の界面構造（Hard x-ray standing-wave photoemission insights into the structure of an epitaxial Fe/MgO multilayer magnetic tunnel junction）</news:title>
   <news:publication_date>2026-08-29T14:20:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-29T14:20:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>野生動画からの深度推定（Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras）</news:title>
   <news:publication_date>2026-08-29T14:20:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728587</loc>
  <lastmod>2026-08-29T14:19:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>空撮映像の動的サリエンシー推定のための時空間ナレッジディスティレーション (Spatiotemporal Knowledge Distillation for Efficient Estimation of Aerial Video Saliency)</news:title>
   <news:publication_date>2026-08-29T14:19:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728585</loc>
  <lastmod>2026-08-29T14:19:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンライン人気の時間的パターンの発見（Discovering patterns of online popularity from time series）</news:title>
   <news:publication_date>2026-08-29T14:19:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728583</loc>
  <lastmod>2026-08-29T14:19:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>FAMNetによるオンライン多対象追跡の統合学習（FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking）</news:title>
   <news:publication_date>2026-08-29T14:19:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728581</loc>
  <lastmod>2026-08-29T14:18:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電子カルテとメモリネットワークで明らかにするAKIのサブフェノタイプ（Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks）</news:title>
   <news:publication_date>2026-08-29T14:18:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728579</loc>
  <lastmod>2026-08-29T13:27:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動美術解析のための文脈対応埋め込み（Context-Aware Embeddings for Automatic Art Analysis）</news:title>
   <news:publication_date>2026-08-29T13:27:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-29T13:27:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動精算に向けたデータプライミングネットワーク（Data Priming Network for Automatic Check-Out）</news:title>
   <news:publication_date>2026-08-29T13:27:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728575</loc>
  <lastmod>2026-08-29T13:26:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>財務ポートフォリオのモデルフリー強化学習の概観（Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey）</news:title>
   <news:publication_date>2026-08-29T13:26:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728573</loc>
  <lastmod>2026-08-29T13:26:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>WiFiフィンガープリントで活動認識と屋内位置推定を同時に行う（Joint Activity Recognition and Indoor Localization with WiFi Fingerprints）</news:title>
   <news:publication_date>2026-08-29T13:26:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728571</loc>
  <lastmod>2026-08-29T13:25:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>年齢不変顔認識のデコリレート敵対学習（Decorrelated Adversarial Learning for Age-Invariant Face Recognition）</news:title>
   <news:publication_date>2026-08-29T13:25:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728569</loc>
  <lastmod>2026-08-29T13:25:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>双方向注意エンティティグラフ畳み込みネットワーク（Bi-directional Attention Entity Graph Convolutional Network）</news:title>
   <news:publication_date>2026-08-29T13:25:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728567</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>入力に応じて重みを変える畳み込み — CondConv: Conditionally Parameterized Convolutions for Efficient Inference (CondConv: Conditionally Parameterized Convolutions for Efficient Inference)</news:title>
   <news:publication_date>2026-08-29T13:25:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728565</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>汎用物体のゼロショット認識に関する研究（On zero-shot recognition of generic objects）</news:title>
   <news:publication_date>2026-08-29T12:34:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728563</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>単一パラメータ収益最大化のサンプル複雑度の確定（Settling the Sample Complexity of Single-parameter Revenue Maximization）</news:title>
   <news:publication_date>2026-08-29T12:34:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728561</loc>
  <lastmod>2026-08-29T12:33:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散深層学習による音声認識の高速化（Distributed Deep Learning Strategies For Automatic Speech Recognition）</news:title>
   <news:publication_date>2026-08-29T12:33:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728559</loc>
  <lastmod>2026-08-29T12:33:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高精細な非線形3次元顔モーファブルモデル（Towards High-fidelity Nonlinear 3D Face Morphable Model）</news:title>
   <news:publication_date>2026-08-29T12:33:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728557</loc>
  <lastmod>2026-08-29T12:33:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的ジェスチャ認識を1枚の画像に凝縮する手法（Dynamic Gesture Recognition by Using CNNs and star RGB: a Temporal Information Condensation）</news:title>
   <news:publication_date>2026-08-29T12:33:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728555</loc>
  <lastmod>2026-08-29T12:33:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電子カルテにおける時系列情報の扱いと有害事象検出への応用（Handling temporality of clinical events with application to Adverse Drug Event detection in Electronic Health Records: A scoping review）</news:title>
   <news:publication_date>2026-08-29T12:33:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728553</loc>
  <lastmod>2026-08-29T12:32:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>適応学習型エキスパートシステムによるウイルス性肝炎診断支援（Adaptive Learning Expert System for Diagnosis and Management of Viral Hepatitis）</news:title>
   <news:publication_date>2026-08-29T12:32:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728551</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>深層学習アンサンブルの新しい不確実性フレームワーク（Novel Uncertainty Framework for Deep Learning Ensembles）</news:title>
   <news:publication_date>2026-08-29T11:41:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728549</loc>
  <lastmod>2026-08-29T11:31:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>歩容認識における分離表現学習（Gait Recognition via Disentangled Representation Learning）</news:title>
   <news:publication_date>2026-08-29T11:31:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728547</loc>
  <lastmod>2026-08-29T11:31:14Z</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>2026-08-29T11:31:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728545</loc>
  <lastmod>2026-08-29T11:30:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Momentum Networks（Enhancing Time Series Momentum Strategies Using Deep Neural Networks）</news:title>
   <news:publication_date>2026-08-29T11:30:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728543</loc>
  <lastmod>2026-08-29T11:30:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>周波数領域で盗み出しを見つける――単クラス学習によるデータ流出検知（Malicious Overtones: hunting data theft in the frequency domain with one-class learning）</news:title>
   <news:publication_date>2026-08-29T11:30:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728541</loc>
  <lastmod>2026-08-29T11:30:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教育におけるクリックベイトの是非（Clickbait in Education – Positive or Negative? Machine Learning Answers）</news:title>
   <news:publication_date>2026-08-29T11:30:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728539</loc>
  <lastmod>2026-08-29T11:30:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>現実世界でのローカリゼーションを伴うFew-Shot学習（Few-Shot Learning with Localization in Realistic Settings）</news:title>
   <news:publication_date>2026-08-29T11:30:08Z</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>小世界ニューラルネットワークと高速収束（SWNet: Small-World Neural Networks and Rapid Convergence）</news:title>
   <news:publication_date>2026-08-29T10:39:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728535</loc>
  <lastmod>2026-08-29T10:38:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単語埋め込みの幾何学的性質が示す本質（Characterizing the impact of geometric properties of word embeddings on task performance）</news:title>
   <news:publication_date>2026-08-29T10:38:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-29T10:38:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>Knowledge Distillation を用いた行動予測の知見（KNOWLEDGE DISTILLATION FOR HUMAN ACTION ANTICIPATION）</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>
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   <news:publication_date>2026-08-29T10:37:40Z</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>2026-08-29T10:37:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-29T10:37:25Z</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>2026-08-29T10:37:11Z</news:publication_date>
   <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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   <news:publication_date>2026-08-29T09:45:24Z</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>幾何学的自己監督による教師なし3D姿勢推定（Unsupervised 3D Pose Estimation with Geometric Self-Supervision）</news:title>
   <news:publication_date>2026-08-29T09:45:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>物体検出におけるプライムサンプル注意（Prime Sample Attention in Object Detection）</news:title>
   <news:publication_date>2026-08-29T09:45:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-29T09:43:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-08-29T09:43:40Z</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>
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   <news:publication_date>2026-08-29T09:43:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728511</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>2026-08-29T09:43:17Z</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>CMIR-NET：リモートセンシングにおけるクロスモーダル検索の実装と評価（CMIR-NET: A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing）</news:title>
   <news:publication_date>2026-08-29T08:51:33Z</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>深層ReLUネットワークによるLp近似の拡張（Approximation in Lp(µ) with deep ReLU neural networks）</news:title>
   <news:publication_date>2026-08-29T08:51:21Z</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>Quizbowlに学ぶ増分型質問応答の意義（Quizbowl: The Case for Incremental Question Answering）</news:title>
   <news:publication_date>2026-08-29T08:50:50Z</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>
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   <news:publication_date>2026-08-29T08:50:24Z</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>
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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: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:publication_date>2026-08-29T07:57:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-08-29T07:57:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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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>2026-08-29T07:56:48Z</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>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728485</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>深層学習による高速核磁気共鳴分光の加速（Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning）</news:title>
   <news:publication_date>2026-08-29T07:56:14Z</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>2026-08-29T07:56:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-29T07:04:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハイブリッド進化システムによる自動ニューラルネットワーク生成と簡素化（A hybrid Evolutionary System for automated Artificial Neural Networks generation and simplification in biomedical applications）</news:title>
   <news:publication_date>2026-08-29T07:04:51Z</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>ユーザー制御可能なマルチテクスチャ合成（User-Controllable Multi-Texture Synthesis with Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-08-29T07:04:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728477</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>2026-08-29T07:04:18Z</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>説明手法のソフトウェアと応用パターン（Software and application patterns for explanation methods）</news:title>
   <news:publication_date>2026-08-29T07:03:55Z</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>Seq2Biseq：出力側で双方向に判断する再帰型ニューラルネットワーク（Seq2Biseq : Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling）</news:title>
   <news:publication_date>2026-08-29T07:03:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728471</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>2026-08-29T07:03:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <lastmod>2026-08-29T07:03:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バイリンガルGANによる並列テキスト生成への一歩（Bilingual-GAN: A Step Towards Parallel Text Generation）</news:title>
   <news:publication_date>2026-08-29T07:03:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/728467</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </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>深層半教師あり学習のラベル伝播（Label Propagation for Deep Semi-supervised Learning）</news:title>
   <news:publication_date>2026-08-29T06:11:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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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>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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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>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </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: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: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: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: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: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>2026-08-29T04:24:19Z</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>2026-08-29T04:23:34Z</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>
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   <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:genres>Blog</news:genres>
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 </url>
 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </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: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: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:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>PU学習によるハイパースペクトル画像情報検索の新展開（PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images）</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>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
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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:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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    <news:name>AI Benchmark Research</news:name>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
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 </url>
 <url>
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    <news:name>AI Benchmark Research</news:name>
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 <url>
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    <news:name>AI Benchmark Research</news:name>
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 </url>
 <url>
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    <news:name>AI Benchmark Research</news:name>
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   </news:publication>
   <news:title>連続時間埋め込みによる教師なし行動学習（Unsupervised learning of action classes with continuous temporal embedding）</news:title>
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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>2026-08-28T15:28:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-08-28T15:27:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フーリエパイチグラフィック顕微鏡のデータ駆動型設計（Data-Driven Design for Fourier Ptychographic Microscopy）</news:title>
   <news:publication_date>2026-08-28T15:27:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/728237</loc>
  <lastmod>2026-08-28T15:26:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチスケール学習と拡張密結合U-Netによる音声音源分離（Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets）</news:title>
   <news:publication_date>2026-08-28T15:26:53Z</news:publication_date>
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  <lastmod>2026-08-28T15:26:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>OpenCLデバイス上でのニューラルネットワーク高速化（Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN）</news:title>
   <news:publication_date>2026-08-28T15:26:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/728233</loc>
  <lastmod>2026-08-28T15:26:36Z</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>2026-08-28T15:26:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/728231</loc>
  <lastmod>2026-08-28T15:25:29Z</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>2026-08-28T15:25:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
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