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   <news:title>マルチ型属性を用いた開放集合の漢字認識（Open Set Chinese Character Recognition using Multi-typed Attributes）</news:title>
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   <news:title>QCD or What?——ジェット解析における教師なし異常検知の実践（QCD or What?）</news:title>
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   <news:title>重力波ベンチマークにおける共鳴二重ヒッグス生成のコリダースタディ（Resonant Di-Higgs Production at Gravitational Wave Benchmarks: A Collider Study using Machine Learning）</news:title>
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   <news:title>V-matrix法の限界（A Limitation of V-Matrix based Methods）</news:title>
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   <news:title>NeuralCubesによる可視化向け深層表現（NeuralCubes: Deep Representations for Visual Data Exploration）</news:title>
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    <news:language>ja</news:language>
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   <news:title>非教師あり多言語単語埋め込み（Unsupervised Multilingual Word Embeddings）</news:title>
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   <news:title>文脈化単語埋め込みの解剖（Dissecting Contextual Word Embeddings: Architecture and Representation）</news:title>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>励起固有状態のエンタングルメントエントロピーにおけるボリューム則と量子臨界性（Volume Law and Quantum Criticality in the Entanglement Entropy of Excited Eigenstates of the Quantum Ising Model）</news:title>
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   <news:title>コミュニティ別ニュース興味の予測モデル（Models for Predicting Community-Specific Interest in News Articles）</news:title>
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    <news:language>ja</news:language>
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   <news:title>長期運用可能な自律水上艇（An Autonomous Surface Vehicle for Long Term Operations）</news:title>
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    <news:language>ja</news:language>
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   <news:title>画像からの意味抽出を強化する統計的意味モデル（Improving Information Extraction from Images with Learned Semantic Models）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-06-07T14:25:13Z</lastmod>
  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>患者モニター由来PTTのノコギリ状アーティファクト（Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data）</news:title>
   <news:publication_date>2026-06-07T14:25:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/698040</loc>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>拡張（dilated）畳み込みの“滑らか化”による密な予測改善（Smoothed Dilated Convolutions for Improved Dense Prediction）</news:title>
   <news:publication_date>2026-06-07T13:34:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-06-07T13:34:00Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>片持ち構造における応力場予測を高速化するCNNアプローチ（STRESS FIELD PREDICTION IN CANTILEVERED STRUCTURES USING CONVOLUTIONAL NEURAL NETWORKS）</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>分析記事からの感情態度の抽出（Extracting Sentiment Attitudes from Analytical Texts）</news:title>
   <news:publication_date>2026-06-07T13:33:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>補助的なキューモードを用いた量子線形回帰の実現（Realizing quantum linear regression with auxiliary qumodes）</news:title>
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   <news:genres>Blog</news:genres>
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  <news:news>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>Conditional Residual U-netによるマンモグラム腫瘤セグメンテーションの改善（Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-06-07T13:32:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>周期駆動量子系の強化学習制御 — フロquet（Floquet）制御で倒立状態を自律準備する方法（Reinforcement learning for autonomous preparation of Floquet-engineered states: Inverting the quantum Kapitza oscillator）</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>意味解析におけるゼロショット転移学習（Zero-shot Transfer Learning for Semantic Parsing）</news:title>
   <news:publication_date>2026-06-07T13:32:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>深部組織で高精度に生体指標を測る光ファイバーセンサー（High fidelity fibre-based physiological sensing deep in tissue）</news:title>
   <news:publication_date>2026-06-07T12:40:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>太陽の子午面循環を21年分の観測でたどる（Solar meridional circulation from twenty-one years of SOHO/MDI and SDO/HMI observations）</news:title>
   <news:publication_date>2026-06-07T12:40:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-06-07T12:40:17Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>気候データの次元削減に向けた畳み込みオートエンコーダの利用（Dimensionality-Reduction of Climate Data Using Deep Autoencoders）</news:title>
   <news:publication_date>2026-06-07T12:40:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-06-07T12:39:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>ニューラル機械翻訳における強化学習の研究（A Study of Reinforcement Learning for Neural Machine Translation）</news:title>
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   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/698018</loc>
  <lastmod>2026-06-07T12:39:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>ぼろぼろの顔画像から情報を取り戻す条件付きGANの試み（Facial Information Recovery from Heavily Damaged Images using Generative Adversarial Network - PART 1）</news:title>
   <news:publication_date>2026-06-07T12:39:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/698016</loc>
  <lastmod>2026-06-07T12:38:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>非同期確率的勾配降下法の高速化（Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation）</news:title>
   <news:publication_date>2026-06-07T12:38:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/698014</loc>
  <lastmod>2026-06-07T12:38:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>BézierGANによる滑らかな曲線自動生成（BézierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters）</news:title>
   <news:publication_date>2026-06-07T12:38:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/698012</loc>
  <lastmod>2026-06-07T11:47:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像・動画に対する標的型非線形敵対的摂動（Targeted Nonlinear Adversarial Perturbations in Images and Videos）</news:title>
   <news:publication_date>2026-06-07T11:47:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/698010</loc>
  <lastmod>2026-06-07T11:47:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>意見要約の弱教師あり統合――アスペクト抽出と感情予測の同時利用（Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised）</news:title>
   <news:publication_date>2026-06-07T11:47:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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  <loc>https://aibr.jp/archives/698008</loc>
  <lastmod>2026-06-07T11:46:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数事業者による周波数共有の最適化（Multi-Operator Spectrum Sharing using Matching Game in Small Cells Network）</news:title>
   <news:publication_date>2026-06-07T11:46:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/698006</loc>
  <lastmod>2026-06-07T11:45:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>質問類似性ランキングの強力なベースライン（A strong baseline for question relevancy ranking）</news:title>
   <news:publication_date>2026-06-07T11:45:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/698004</loc>
  <lastmod>2026-06-07T11:45:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>差をつける時系列表現の学び方 ― 微分可能な近似ホワイトニングで学ぶスローフィーチャー（Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-06-07T11:45:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>リアルタイムMDNetによる高速視覚トラッキング（Real-Time MDNet）</news:title>
   <news:publication_date>2026-06-07T11:45:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-06-07T11:44:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>点情報から動画・3Dボリュームを分割する反復的マルチパストラッキング（Iterative multi-path tracking for video and volume segmentation with sparse point supervision）</news:title>
   <news:publication_date>2026-06-07T11:44:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/697998</loc>
  <lastmod>2026-06-07T10:53:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非定常マルコフ連鎖の指数不等式の拡張（Exponential inequalities for nonstationary Markov Chains）</news:title>
   <news:publication_date>2026-06-07T10:53:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697996</loc>
  <lastmod>2026-06-07T10:53:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顔スプーフィング検出のための識別表現の組合せ（Discriminative Representation Combinations for Accurate Face Spoofing Detection）</news:title>
   <news:publication_date>2026-06-07T10:53:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697994</loc>
  <lastmod>2026-06-07T10:52:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>平均と分位数回帰を同時に学習する深層モデルが描く時空間予測の全体像（Beyond expectation: Deep joint mean and quantile regression for spatio-temporal problems）</news:title>
   <news:publication_date>2026-06-07T10:52:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697992</loc>
  <lastmod>2026-06-07T10:52:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SPULTRAによる低線量CT再構成の革新（SPULTRA: Low-Dose CT Image Reconstruction with Joint Statistical and Learned Image Models）</news:title>
   <news:publication_date>2026-06-07T10:52:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697990</loc>
  <lastmod>2026-06-07T10:52:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タスク適応再構成による逆問題の最適化（Task Adapted Reconstruction for Inverse Problems）</news:title>
   <news:publication_date>2026-06-07T10:52:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697988</loc>
  <lastmod>2026-06-07T10:52:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単眼画像から深度と自己運動を教師なしで推定するUnDEMoN（A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation）</news:title>
   <news:publication_date>2026-06-07T10:52:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697986</loc>
  <lastmod>2026-06-07T10:51:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>発話レベルの意味依存を学習する自己符号化器マッチング（An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation）</news:title>
   <news:publication_date>2026-06-07T10:51:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697984</loc>
  <lastmod>2026-06-07T10:00:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>イベント駆動型M2Mトラフィック予測のための有向情報学習フレームワーク（A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction）</news:title>
   <news:publication_date>2026-06-07T10:00:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697982</loc>
  <lastmod>2026-06-07T10:00:28Z</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のスパース化とその組込み応用（Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant）</news:title>
   <news:publication_date>2026-06-07T10:00:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697980</loc>
  <lastmod>2026-06-07T09:59:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>事前学習済み言語モデルによる感情予測の転移学習（Amobee at IEST 2018: Transfer Learning from Language Models）</news:title>
   <news:publication_date>2026-06-07T09:59:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697978</loc>
  <lastmod>2026-06-07T09:59:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>潜在距離空間で学ぶ多言語単語埋め込み（Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach）</news:title>
   <news:publication_date>2026-06-07T09:59:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697976</loc>
  <lastmod>2026-06-07T09:59:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>両言語の語彙埋め込みを中間で融合する方法（Improving Cross-Lingual Word Embeddings by Meeting in the Middle）</news:title>
   <news:publication_date>2026-06-07T09:59:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697974</loc>
  <lastmod>2026-06-07T09:58:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医療検査データに対するDBNの適応構造学習と知識抽出（Adaptive Structural Learning of Deep Belief Network for Medical Examination Data and Its Knowledge Extraction by using C4.5）</news:title>
   <news:publication_date>2026-06-07T09:58:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697972</loc>
  <lastmod>2026-06-07T09:58:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模画像位置特定のための確率的引寄せ・反発埋め込み（Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization）</news:title>
   <news:publication_date>2026-06-07T09:58:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697970</loc>
  <lastmod>2026-06-07T09:07:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>楽観的方策反復法の収束性（ON THE CONVERGENCE OF OPTIMISTIC POLICY ITERATION FOR STOCHASTIC SHORTEST PATH PROBLEM）</news:title>
   <news:publication_date>2026-06-07T09:07:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697968</loc>
  <lastmod>2026-06-07T09:06:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>完全辞書学習の識別可能性の解明（Identifiability of Complete Dictionary Learning）</news:title>
   <news:publication_date>2026-06-07T09:06:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697966</loc>
  <lastmod>2026-06-07T09:06:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチストリーム時間畳み込みネットワークによる行動コンテキスト認識（Learning behavioral context recognition with multi-stream temporal convolutional networks）</news:title>
   <news:publication_date>2026-06-07T09:06:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697964</loc>
  <lastmod>2026-06-07T09:06:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラベル付きポジティブと未ラベルデータから学ぶ：選択時ランダム仮定（Learning from Positive and Unlabeled Data under the Selected At Random Assumption）</news:title>
   <news:publication_date>2026-06-07T09:06:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697962</loc>
  <lastmod>2026-06-07T09:05:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自然風景の何が記憶に残るのか（What Makes Natural Scene Memorable?）</news:title>
   <news:publication_date>2026-06-07T09:05:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697960</loc>
  <lastmod>2026-06-07T09:05:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復改良エンコーダによる文埋め込みと自然言語推論（Sentence Embeddings in NLI with Iterative Refinement Encoders）</news:title>
   <news:publication_date>2026-06-07T09:05:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697958</loc>
  <lastmod>2026-06-07T09:05:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人間と深層ニューラルネットワークにおける汎化（Generalisation in humans and deep neural networks）</news:title>
   <news:publication_date>2026-06-07T09:05:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697956</loc>
  <lastmod>2026-06-07T08:14:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>連続対称性を要さないLieb–Schultz–Mattis型定理の拡張（Lieb-Schultz-Mattis type theorems for quantum spin chains without continuous symmetry）</news:title>
   <news:publication_date>2026-06-07T08:14:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697954</loc>
  <lastmod>2026-06-07T08:13:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>可積分二次元ソリトンの普遍的なホーキング蒸発（Universal quantum Hawking evaporation of integrable two-dimensional solitons）</news:title>
   <news:publication_date>2026-06-07T08:13:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697952</loc>
  <lastmod>2026-06-07T08:13:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速道路の流れを最適化する多エージェント強化学習（MARL-FWC: OPTIMAL COORDINATION OF FREEWAY TRAFFIC CONTROL MEASURES）</news:title>
   <news:publication_date>2026-06-07T08:13:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697950</loc>
  <lastmod>2026-06-07T08:12:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ワイドアクティベーションによる高効率・高精度な単一画像超解像（Wide Activation for Efficient and Accurate Image Super-Resolution）</news:title>
   <news:publication_date>2026-06-07T08:12:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697948</loc>
  <lastmod>2026-06-07T08:12:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Skip-Thoughtを用いた敵対的学習による文章生成（Generating Text through Adversarial Training using Skip-Thought Vectors）</news:title>
   <news:publication_date>2026-06-07T08:12:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697946</loc>
  <lastmod>2026-06-07T08:11:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>累積排出量制約下の二酸化炭素削減の経済学（Economics of carbon-dioxide abatement under an exogenous constraint on cumulative emissions）</news:title>
   <news:publication_date>2026-06-07T08:11:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697944</loc>
  <lastmod>2026-06-07T08:11:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>再帰系列モデルにおける事前定義スパース性（Predefined Sparseness in Recurrent Sequence Models）</news:title>
   <news:publication_date>2026-06-07T08:11:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697942</loc>
  <lastmod>2026-06-07T07:20:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一混合画像からのステレオ推定（Stereo Computation for a Single Mixture Image）</news:title>
   <news:publication_date>2026-06-07T07:20:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697940</loc>
  <lastmod>2026-06-07T07:20:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヒューマノイドロボットの自己ノイズに強い音声認識（Augmenting Bottleneck Features of Deep Neural Network Employing Motor State for Speech Recognition at Humanoid Robots）</news:title>
   <news:publication_date>2026-06-07T07:20:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697938</loc>
  <lastmod>2026-06-07T07:19:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層監督による深度マップ超解像を新規視点合成として考える（Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis）</news:title>
   <news:publication_date>2026-06-07T07:19:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697936</loc>
  <lastmod>2026-06-07T07:19:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>暗黙の感情分類にELMoとBiLSTMを用いる手法（Implicit Emotion Classification With Deep Contextualized Word Representations）</news:title>
   <news:publication_date>2026-06-07T07:19:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697934</loc>
  <lastmod>2026-06-07T07:19:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>残差拡張畳み込みによる中国語臨床固有表現抽出の高速・高精度化（Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions）</news:title>
   <news:publication_date>2026-06-07T07:19:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697932</loc>
  <lastmod>2026-06-07T07:19:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>干渉がある実験におけるグローバル処置効果推定のための回帰調整（Regression adjustments for estimating the global treatment effect in experiments with interference）</news:title>
   <news:publication_date>2026-06-07T07:19:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697930</loc>
  <lastmod>2026-06-07T07:18:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スマートナーサリーにおけるFaster R-CNNとSSDの適用検討（Exploring the Applications of Faster R-CNN and Single-Shot Multi-box Detection in a Smart Nursery Domain）</news:title>
   <news:publication_date>2026-06-07T07:18:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697928</loc>
  <lastmod>2026-06-07T06:27:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速超解像3D SARイメージング（Fast Super-resolution 3D SAR Imaging Using an Unfolded Deep Network）</news:title>
   <news:publication_date>2026-06-07T06:27:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697926</loc>
  <lastmod>2026-06-07T06:27:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>戦略的操作の不平等効果（The Disparate Effects of Strategic Manipulation）</news:title>
   <news:publication_date>2026-06-07T06:27:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697924</loc>
  <lastmod>2026-06-07T06:26:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Twin-GAN による未対応ドメイン間画像翻訳（Twin-GAN – Unpaired Cross-Domain Image Translation with Weight-Sharing GANs）</news:title>
   <news:publication_date>2026-06-07T06:26:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697922</loc>
  <lastmod>2026-06-07T06:26:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反応拡散系におけるモーメント閉鎖の学習（Learning Moment Closure in Reaction-Diffusion Systems with Spatial Dynamic Boltzmann Distributions）</news:title>
   <news:publication_date>2026-06-07T06:26:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697920</loc>
  <lastmod>2026-06-07T06:26:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多層ネットワーク埋め込みとブーステッド低ランク行列近似（Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation）</news:title>
   <news:publication_date>2026-06-07T06:26:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697918</loc>
  <lastmod>2026-06-07T06:26:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>渦励起振動の深層学習（Deep Learning of Vortex Induced Vibrations）</news:title>
   <news:publication_date>2026-06-07T06:26:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697916</loc>
  <lastmod>2026-06-07T06:26:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>相関関係を使った外れ値検出法の実務的解説（Detecting Outliers in Data with Correlated Measures）</news:title>
   <news:publication_date>2026-06-07T06:26:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697914</loc>
  <lastmod>2026-06-07T05:35:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>観測データに潜む差別的増幅を検出するためのα‑ハイブリッド世界観とα‑Disparity検定（α‑Hybrid Worldviews and the α‑Disparity Test）</news:title>
   <news:publication_date>2026-06-07T05:35:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697912</loc>
  <lastmod>2026-06-07T05:35:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Learningの計算的側面がもたらす実務的インパクト（Deep Learning: Computational Aspects）</news:title>
   <news:publication_date>2026-06-07T05:35:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697910</loc>
  <lastmod>2026-06-07T05:35:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>鳥類のGPS軌跡から性別を予測するアンサンブル学習（Ensemble Learning Applied to Classify GPS Trajectories of Birds into Male or Female）</news:title>
   <news:publication_date>2026-06-07T05:35:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697908</loc>
  <lastmod>2026-06-07T05:34:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一画像の霧除去における一般的規則性の利用（Single Image Dehazing Based on Generic Regularity）</news:title>
   <news:publication_date>2026-06-07T05:34:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697906</loc>
  <lastmod>2026-06-07T05:34:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>吸収性媒質に埋め込まれた球状粒子の散乱と消光（Scattering and extinction by spherical particles immersed in an absorbing host medium）</news:title>
   <news:publication_date>2026-06-07T05:34:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697904</loc>
  <lastmod>2026-06-07T05:34:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物理ベースレンダリングで改善する内在画像分解（CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering）</news:title>
   <news:publication_date>2026-06-07T05:34:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697902</loc>
  <lastmod>2026-06-07T05:33:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>論理知識を組み込むための敵対的正則化によるNLIモデル強化（Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge）</news:title>
   <news:publication_date>2026-06-07T05:33:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697900</loc>
  <lastmod>2026-06-07T04:42:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低サンプリング水使用分解のための形状特徴に基づくベイズ判別スパースコーディング（Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding）</news:title>
   <news:publication_date>2026-06-07T04:42:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697898</loc>
  <lastmod>2026-06-07T04:42:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>形状補正型マルチタスク深層学習による心臓3D二心室自動セグメンテーション (Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach)</news:title>
   <news:publication_date>2026-06-07T04:42:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697896</loc>
  <lastmod>2026-06-07T04:42:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タイトルガイド付き符号化によるキーフレーズ生成（Title-Guided Encoding for Keyphrase Generation）</news:title>
   <news:publication_date>2026-06-07T04:42:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697894</loc>
  <lastmod>2026-06-07T04:41:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>空撮画像における車両検出と識別を結ぶCNNの実践（Convolutional Neural Networks for Aerial Vehicle Detection and Recognition）</news:title>
   <news:publication_date>2026-06-07T04:41:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697892</loc>
  <lastmod>2026-06-07T04:41:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習された深層ASR性能予測モデルの表現解析（Analyzing Learned Representations of a Deep ASR Performance Prediction Model）</news:title>
   <news:publication_date>2026-06-07T04:41:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697890</loc>
  <lastmod>2026-06-07T04:41:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>失業給付の二項分析（A Dichotomous Analysis of Unemployment Benefits）</news:title>
   <news:publication_date>2026-06-07T04:41:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697888</loc>
  <lastmod>2026-06-07T04:40:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>セマンティック単位に基づく拡張畳み込みによるマルチラベル文章分類（Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification）</news:title>
   <news:publication_date>2026-06-07T04:40:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697886</loc>
  <lastmod>2026-06-07T03:49:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>突発的投票におけるSNS利用者の投票意向の即時推定（Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum）</news:title>
   <news:publication_date>2026-06-07T03:49:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697884</loc>
  <lastmod>2026-06-07T03:49:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スペクトラルプルーニングによるニューラルネット圧縮（Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error）</news:title>
   <news:publication_date>2026-06-07T03:49:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697882</loc>
  <lastmod>2026-06-07T03:48:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一画像における雨筋除去の新展開（Rain Streak Removal for Single Image via Kernel Guided CNN）</news:title>
   <news:publication_date>2026-06-07T03:48:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697880</loc>
  <lastmod>2026-06-07T03:47:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>衛星モザイク画像の分散処理によるオブジェクト抽出フレームワーク（A MapReduce based Big-data Framework for Object Extraction from Mosaic Satellite Images）</news:title>
   <news:publication_date>2026-06-07T03:47:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697878</loc>
  <lastmod>2026-06-07T03:47:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非定常データストリームに対応する深層進化型ファジィニューラルネットワーク（An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Non-Stationary Data Streams）</news:title>
   <news:publication_date>2026-06-07T03:47:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697876</loc>
  <lastmod>2026-06-07T03:47:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>情報流通と偏向の臨界点：確認バイアスが生むネットワーク分極（When facts fail: Bias, polarisation and truth in social networks）</news:title>
   <news:publication_date>2026-06-07T03:47:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697874</loc>
  <lastmod>2026-06-07T03:47:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepTrackerによるCNN学習過程の可視化（DeepTracker: Visualizing the Training Process of Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-06-07T03:47:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697872</loc>
  <lastmod>2026-06-07T02:54:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>効率的な単一画像超解像のための学習済みグループ畳み込みの強化（Efficient Single Image Super Resolution using Enhanced Learned Group Convolutions）</news:title>
   <news:publication_date>2026-06-07T02:54:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697870</loc>
  <lastmod>2026-06-07T02:54:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Mallowsランキングモデルの最尤推定と再生性（Mallows Ranking Models: Maximum Likelihood Estimate and Regeneration）</news:title>
   <news:publication_date>2026-06-07T02:54:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697868</loc>
  <lastmod>2026-06-07T02:53:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワークにおけるコミュニティ検出の理論的進展（A Survey on Theoretical Advances of Community Detection in Networks）</news:title>
   <news:publication_date>2026-06-07T02:53:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697866</loc>
  <lastmod>2026-06-07T02:53:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文脈に応じてパラメータを生成する多言語機械翻訳（Contextual Parameter Generation for Universal Neural Machine Translation）</news:title>
   <news:publication_date>2026-06-07T02:53:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697864</loc>
  <lastmod>2026-06-07T02:52:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DreamNLP: 臨床報告からのメタデータ抽出を効率化するデータストリーミング手法（DreamNLP: Novel NLP System for Clinical Report Metadata Extraction using Count Sketch Data Streaming Algorithm: Preliminary Results）</news:title>
   <news:publication_date>2026-06-07T02:52:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697862</loc>
  <lastmod>2026-06-07T02:52:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Probabilistic Logicによる間接教師あり学習の統一枠組み（Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision）</news:title>
   <news:publication_date>2026-06-07T02:52:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697860</loc>
  <lastmod>2026-06-07T02:52:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>壁乱流の普遍的分数モデル（A Universal Fractional Model of Wall-Turbulence）</news:title>
   <news:publication_date>2026-06-07T02:52:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697858</loc>
  <lastmod>2026-06-07T02:00:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>交差点における異常軌跡検出の実務的インパクト（Road User Abnormal Trajectory Detection using a Deep Autoencoder）</news:title>
   <news:publication_date>2026-06-07T02:00:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697856</loc>
  <lastmod>2026-06-07T02:00:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>皮膚病変の深層学習アンサンブルによる分析と分類（Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018）</news:title>
   <news:publication_date>2026-06-07T02:00:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697854</loc>
  <lastmod>2026-06-07T02:00:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像の枠を越える発想：GANによるImage Outpaintingの実践（Painting Outside the Box: Image Outpainting with GANs）</news:title>
   <news:publication_date>2026-06-07T02:00:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697852</loc>
  <lastmod>2026-06-07T02:00:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MSCEによる超解像の精度向上と現場導入の勘所（MSCE: An edge preserving robust loss function for improving super-resolution algorithms）</news:title>
   <news:publication_date>2026-06-07T02:00:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697850</loc>
  <lastmod>2026-06-07T01:59:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人間中心の屋内シーン合成：確率文法による3D/2Dデータ生成（Human-centric Indoor Scene Synthesis Using Stochastic Grammar）</news:title>
   <news:publication_date>2026-06-07T01:59:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697848</loc>
  <lastmod>2026-06-07T01:59:45Z</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利用者の表現を用いた皮肉検出（Representing Social Media Users for Sarcasm Detection）</news:title>
   <news:publication_date>2026-06-07T01:59:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697846</loc>
  <lastmod>2026-06-07T01:59:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時系列依存グループ観測からのネットワーク推定 (Network Inference from Temporal-Dependent Grouped Observations)</news:title>
   <news:publication_date>2026-06-07T01:59:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697844</loc>
  <lastmod>2026-06-07T01:08:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二段階スケールを用いた分布的最近傍法による最適非パラメトリック推論（Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors）</news:title>
   <news:publication_date>2026-06-07T01:08:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697842</loc>
  <lastmod>2026-06-07T01:08:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モバイル数学環境の現状と展望（Mobile Mathematical Environments: current state and development prospects）</news:title>
   <news:publication_date>2026-06-07T01:08:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697840</loc>
  <lastmod>2026-06-07T01:08:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>戦略的分類の社会的コスト（The Social Cost of Strategic Classification）</news:title>
   <news:publication_date>2026-06-07T01:08:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697838</loc>
  <lastmod>2026-06-07T01:07:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>NNLO PDFsがLHC解析にもたらした変化（NNLO PDFs for the LHC）</news:title>
   <news:publication_date>2026-06-07T01:07:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697836</loc>
  <lastmod>2026-06-07T01:07:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>本の装丁デザインをCNNはどう学ぶか（How do Convolutional Neural Networks Learn Design?）</news:title>
   <news:publication_date>2026-06-07T01:07:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697834</loc>
  <lastmod>2026-06-07T01:07:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>感情を深層学習で再現する試み（Deep Emotion: A Computational Model of Emotion Using Deep Neural Networks）</news:title>
   <news:publication_date>2026-06-07T01:07:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697832</loc>
  <lastmod>2026-06-07T00:16:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>火星視覚ナビゲーションの新しい深層ニューラルネットアーキテクチャ（A Novel Deep Neural Network Architecture for Mars Visual Navigation）</news:title>
   <news:publication_date>2026-06-07T00:16:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697830</loc>
  <lastmod>2026-06-07T00:16:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>監視学習を用いた原始星（プロトスター）分類（Protostellar classification using supervised machine learning algorithms）</news:title>
   <news:publication_date>2026-06-07T00:16:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697828</loc>
  <lastmod>2026-06-07T00:15:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>NavigationNetに見る屋内自律移動の現実解（NavigationNet: A Large-scale Interactive Indoor Navigation Dataset）</news:title>
   <news:publication_date>2026-06-07T00:15:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697826</loc>
  <lastmod>2026-06-07T00:14:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データベース非依存のワークロード管理（Database-Agnostic Workload Management）</news:title>
   <news:publication_date>2026-06-07T00:14:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697824</loc>
  <lastmod>2026-06-07T00:14:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対称・反対称関係のデータ駆動学習による知識ベース補完（Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion）</news:title>
   <news:publication_date>2026-06-07T00:14:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697822</loc>
  <lastmod>2026-06-07T00:14:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>And-Orグラフ表現によるニューラルタスクプランニング (Neural Task Planning with And-Or Graph Representations)</news:title>
   <news:publication_date>2026-06-07T00:14:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697820</loc>
  <lastmod>2026-06-07T00:13:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高次元データに対するパラメータ別共クラスタリング（Parameter-Wise Co-Clustering for High-Dimensional Data）</news:title>
   <news:publication_date>2026-06-07T00:13:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697818</loc>
  <lastmod>2026-06-06T23:21:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>砂嵐（ダストストーム）が太陽光発電に与える影響と深層学習による予測（Forecasting solar radiation during dust storms using deep learning）</news:title>
   <news:publication_date>2026-06-06T23:21:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697816</loc>
  <lastmod>2026-06-06T23:21:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PLDAの多目的最適化学習が話者識別を進化させる（MULTI-OBJECTIVE OPTIMIZATION TRAINING OF PLDA FOR SPEAKER VERIFICATION）</news:title>
   <news:publication_date>2026-06-06T23:21:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697814</loc>
  <lastmod>2026-06-06T23:20:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドメイン逆学習で深層分類器のバイアスを低減する手法（Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERνA experiment）</news:title>
   <news:publication_date>2026-06-06T23:20:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697812</loc>
  <lastmod>2026-06-06T23:20:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的エンティティ関連性ランキングの三位一体ニューラルモデル（A Trio Neural Model for Dynamic Entity Relatedness Ranking）</news:title>
   <news:publication_date>2026-06-06T23:20:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697810</loc>
  <lastmod>2026-06-06T23:20:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラスタリングすべきか否かの判断指標（To Cluster, or Not to Cluster: An Analysis of Clusterability Methods）</news:title>
   <news:publication_date>2026-06-06T23:20:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697808</loc>
  <lastmod>2026-06-06T23:20:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>6D物体姿勢推定のベンチマーク（BOP: Benchmark for 6D Object Pose Estimation）</news:title>
   <news:publication_date>2026-06-06T23:20:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697806</loc>
  <lastmod>2026-06-06T23:19:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>決定論的自己組織化マップと衛星データを用いた雲分類の応用（A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification）</news:title>
   <news:publication_date>2026-06-06T23:19:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697804</loc>
  <lastmod>2026-06-06T22:28:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学校年齢の児童における自閉症スペクトラム障害の洞察を深める複合心拍変動バイオマーカーの可能性（Can a composite heart rate variability biomarker shed new insights about autism spectrum disorder in school-aged children?）</news:title>
   <news:publication_date>2026-06-06T22:28:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697802</loc>
  <lastmod>2026-06-06T22:27:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>条件付きSampleRNNによる音声変換（Voice Conversion with Conditional SampleRNN）</news:title>
   <news:publication_date>2026-06-06T22:27:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697800</loc>
  <lastmod>2026-06-06T22:27:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>新生児の泣き声で見抜く低コスト診断（Infant Cry Classification for Perinatal Asphyxia）</news:title>
   <news:publication_date>2026-06-06T22:27:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697798</loc>
  <lastmod>2026-06-06T22:27:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>観察から学ぶロボット学習の定義（Defining the problem of Observation Learning）</news:title>
   <news:publication_date>2026-06-06T22:27:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697796</loc>
  <lastmod>2026-06-06T22:27:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>増強分解アルゴリズムの収束性（Convergence of the Augmented Decomposition Algorithm）</news:title>
   <news:publication_date>2026-06-06T22:27:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697794</loc>
  <lastmod>2026-06-06T22:26:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知の例を学習することでのMLモデルの一般化 (Learning Unknown Examples For ML Model)</news:title>
   <news:publication_date>2026-06-06T22:26:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697792</loc>
  <lastmod>2026-06-06T22:26:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的グラフィカルモデルによる動的PETの直接パラメトリック再構成（Probabilistic Graphical Modeling approach to dynamic PET direct parametric map estimation and image reconstruction）</news:title>
   <news:publication_date>2026-06-06T22:26:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697790</loc>
  <lastmod>2026-06-06T21:35:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Thompson Samplingによる適応型グレイボックスファズテスト（Adaptive Grey-Box Fuzz-Testing with Thompson Sampling）</news:title>
   <news:publication_date>2026-06-06T21:35:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697788</loc>
  <lastmod>2026-06-06T21:26:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数回答を許容する目的指向対話の学習（Learning End-to-End Goal-Oriented Dialog with Multiple Answers）</news:title>
   <news:publication_date>2026-06-06T21:26:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697786</loc>
  <lastmod>2026-06-06T21:26:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高品質な顔面表面とテクスチャの合成（High Quality Facial Surface and Texture Synthesis via Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-06-06T21:26:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697784</loc>
  <lastmod>2026-06-06T21:26:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テスト時予算下での頑健なテキスト分類器（Robust Text Classifier on Test-Time Budgets）</news:title>
   <news:publication_date>2026-06-06T21:26:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697782</loc>
  <lastmod>2026-06-06T21:25:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知ダイナミクス下における人間機械共有制御の学習モデル（Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics）</news:title>
   <news:publication_date>2026-06-06T21:25:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697780</loc>
  <lastmod>2026-06-06T21:25:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚注意に基づくマルチモーダル翻訳モデル（A Visual Attention Grounding Neural Model for Multimodal Machine Translation）</news:title>
   <news:publication_date>2026-06-06T21:25:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697778</loc>
  <lastmod>2026-06-06T21:25:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Ur-Alternativesに基づく自然の統一的記述（Die einheitliche Beschreibung der fundamentalen Objekte und Wechselwirkungen der Natur in der Quantentheorie der Ur-Alternativen）</news:title>
   <news:publication_date>2026-06-06T21:25:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697776</loc>
  <lastmod>2026-06-06T20:34:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DUNEによる次世代の太陽ニュートリノ観測（DUNE as the Next-Generation Solar Neutrino Experiment）</news:title>
   <news:publication_date>2026-06-06T20:34:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697774</loc>
  <lastmod>2026-06-06T20:34:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>製品の複雑性とデータ正規化の効果（Complexity of products: the effect of data regularisation）</news:title>
   <news:publication_date>2026-06-06T20:34:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697772</loc>
  <lastmod>2026-06-06T20:33:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Chebyshevテンソルによる動的初期証拠金の高速計算（Dynamic Initial Margin via Chebyshev Tensors）</news:title>
   <news:publication_date>2026-06-06T20:33:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697770</loc>
  <lastmod>2026-06-06T20:33:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複素平面上のd個のマーキング点の配置空間の幾何的不変量（GEOMETRIC INVARIANTS OF THE CONFIGURATION SPACE OF d MARKED POINTS ON THE COMPLEX PLANE）</news:title>
   <news:publication_date>2026-06-06T20:33:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697768</loc>
  <lastmod>2026-06-06T20:32:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エッジ乱れが生む見かけのせん断バンド（Effect of edge disturbance on shear banding in polymeric solutions）</news:title>
   <news:publication_date>2026-06-06T20:32:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697766</loc>
  <lastmod>2026-06-06T20:32:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未来の自動化工学を支える構造的グラフ畳み込みニューラルネットワーク（Future Automation Engineering using Structural Graph Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-06-06T20:32:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697764</loc>
  <lastmod>2026-06-06T20:32:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電力系における機械学習の脆弱性：データ操作で精度が崩れる仕組み（Is Machine Learning in Power Systems Vulnerable?）</news:title>
   <news:publication_date>2026-06-06T20:32:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697762</loc>
  <lastmod>2026-06-06T19:41:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アカウントの不審なログイン通知と利用者対応の国際比較（“Should I Worry?” A Cross-Cultural Examination of Account Security Incident Response）</news:title>
   <news:publication_date>2026-06-06T19:41:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697760</loc>
  <lastmod>2026-06-06T19:41:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コミュニティ形成をネットワークで読む（Studying community development: a network analytical approach）</news:title>
   <news:publication_date>2026-06-06T19:41:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697758</loc>
  <lastmod>2026-06-06T19:40:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時系列ネットワーク整列におけるGoT-WAVEの提案（GoT-WAVE: Temporal network alignment using graphlet-orbit transitions）</news:title>
   <news:publication_date>2026-06-06T19:40:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697756</loc>
  <lastmod>2026-06-06T19:40:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>畳み込みスパイキングニューラルネットワークによるSTDP学習（STDP Learning of Image Patches with Convolutional Spiking Neural Networks）</news:title>
   <news:publication_date>2026-06-06T19:40:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697754</loc>
  <lastmod>2026-06-06T19:39:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>連続時間ガウス過程動的モデルによる遺伝子制御ネットワーク推論（CONTINUOUS TIME GAUSSIAN PROCESS DYNAMICAL MODELS IN GENE REGULATORY NETWORK INFERENCE）</news:title>
   <news:publication_date>2026-06-06T19:39:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697752</loc>
  <lastmod>2026-06-06T19:39:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グローバル情報を用いた新しいドロップアウト（From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information）</news:title>
   <news:publication_date>2026-06-06T19:39:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697750</loc>
  <lastmod>2026-06-06T19:39:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>豊富なサブグループ公平性の実証的研究（An Empirical Study of Rich Subgroup Fairness for Machine Learning）</news:title>
   <news:publication_date>2026-06-06T19:39:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697748</loc>
  <lastmod>2026-06-06T18:47:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Erlangで実装する連合学習の実践（Functional Federated Learning in Erlang）</news:title>
   <news:publication_date>2026-06-06T18:47:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697746</loc>
  <lastmod>2026-06-06T18:47:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Apple Create MLを用いた非小細胞肺癌の検出とサブクラス分類（Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer）</news:title>
   <news:publication_date>2026-06-06T18:47:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697744</loc>
  <lastmod>2026-06-06T18:46:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LSTMの記憶時間と多人数音声分離（Memory Time Span in LSTMs for Multi-Speaker Source Separation）</news:title>
   <news:publication_date>2026-06-06T18:46:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697742</loc>
  <lastmod>2026-06-06T18:46:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチシナリオ深層学習による多人数音声分離の示す実務的意義（MULTI-SCENARIO DEEP LEARNING FOR MULTI-SPEAKER SOURCE SEPARATION）</news:title>
   <news:publication_date>2026-06-06T18:46:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697740</loc>
  <lastmod>2026-06-06T18:46:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己段階型マルチタスククラスタリングの提案（Self-Paced Multi-Task Clustering）</news:title>
   <news:publication_date>2026-06-06T18:46:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697738</loc>
  <lastmod>2026-06-06T18:46:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パノラマX線画像からの頸動脈プラーク自動検出（Atherosclerotic carotid plaques on panoramic imaging: an automatic detection using deep learning with small dataset）</news:title>
   <news:publication_date>2026-06-06T18:46:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697736</loc>
  <lastmod>2026-06-06T18:46:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習に基づく最適HASの設計（Towards Machine Learning-Based Optimal HAS）</news:title>
   <news:publication_date>2026-06-06T18:46:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697734</loc>
  <lastmod>2026-06-06T17:55:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Mollweideの公式を教える意義（Mollweide’s formula in teaching trigonometry）</news:title>
   <news:publication_date>2026-06-06T17:55:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697732</loc>
  <lastmod>2026-06-06T17:54:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチスペクトルフィルタアレイ向け深層デモザイキングの実装と意義（Deep demosaicking for multispectral filter arrays）</news:title>
   <news:publication_date>2026-06-06T17:54:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697730</loc>
  <lastmod>2026-06-06T17:54:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コンテキスト対応POI埋め込みによる旅行推薦（A Jointly Learned Context-Aware Place of Interest Embedding for Trip Recommendations）</news:title>
   <news:publication_date>2026-06-06T17:54:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697728</loc>
  <lastmod>2026-06-06T17:54:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非同一独立確率変数のパーセンタイルに関する非漸近的境界（Non-asymptotic bounds for percentiles of independent non-identical random variables）</news:title>
   <news:publication_date>2026-06-06T17:54:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697726</loc>
  <lastmod>2026-06-06T17:53:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>近似分布マッチングによる系列変換の改善（Approximate Distribution Matching for Sequence-to-Sequence Learning）</news:title>
   <news:publication_date>2026-06-06T17:53:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697724</loc>
  <lastmod>2026-06-06T17:53:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Feature Pyramid Reconﬁguration for Object Detection（Deep Feature Pyramid Reconfiguration for Object Detection）</news:title>
   <news:publication_date>2026-06-06T17:53:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697722</loc>
  <lastmod>2026-06-06T17:53:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ノイズデータからの文レベル関係分類の強化学習（Reinforcement Learning for Relation Classification from Noisy Data）</news:title>
   <news:publication_date>2026-06-06T17:53:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697720</loc>
  <lastmod>2026-06-06T17:02:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>極めて早産の新生児における抜管準備の予測に対するアンダーサンプリングとバッグド決定木の応用（Undersampling and Bagging of Decision Trees in the Analysis of Cardiorespiratory Behavior for the Prediction of Extubation Readiness in Extremely Preterm Infants）</news:title>
   <news:publication_date>2026-06-06T17:02:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697718</loc>
  <lastmod>2026-06-06T17:02:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>極低出生体重児の抜管準備予測：呼吸パターン解析による可視化と予測（Predicting Extubation Readiness in Extreme Preterm Infants based on Patterns of Breathing）</news:title>
   <news:publication_date>2026-06-06T17:02:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697716</loc>
  <lastmod>2026-06-06T17:01:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>乳児の呼吸パターンをモデリングする半マルコフ連鎖アプローチ（A Semi-Markov Chain Approach to Modeling Respiratory Patterns Prior to Extubation in Preterm Infants）</news:title>
   <news:publication_date>2026-06-06T17:01:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697714</loc>
  <lastmod>2026-06-06T17:01:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>近接方策最適化とその動的版（Proximal Policy Optimization and its Dynamic Version for Sequence Generation）</news:title>
   <news:publication_date>2026-06-06T17:01:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697712</loc>
  <lastmod>2026-06-06T17:01:21Z</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よるオントロジー推論（Ontology Reasoning with Deep Neural Networks）</news:title>
   <news:publication_date>2026-06-06T17:01:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697710</loc>
  <lastmod>2026-06-06T17:01:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多層拡散ネットワークの推定（Inferring Multiplex Diffusion Network via Multivariate Marked Hawkes Process）</news:title>
   <news:publication_date>2026-06-06T17:01:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697708</loc>
  <lastmod>2026-06-06T17:00:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ノイズ対照推定の漸近分散解析（Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance）</news:title>
   <news:publication_date>2026-06-06T17:00:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697706</loc>
  <lastmod>2026-06-06T16:09:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>左心室計測における時空間CNNの応用（Left ventricle quantification through spatio-temporal CNNs）</news:title>
   <news:publication_date>2026-06-06T16:09:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697704</loc>
  <lastmod>2026-06-06T16:09:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中性子星の半径と潮汐ポーラリザビリティに及ぼす核対称性エネルギーの影響（Delineating Effects of Nuclear Symmetry Energy on the Radii and Tidal Polarizabilities of Neutron Stars）</news:title>
   <news:publication_date>2026-06-06T16:09:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697702</loc>
  <lastmod>2026-06-06T16:09:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人と物の相互作用を学ぶグラフ解析ニューラルネットワーク（Learning Human-Object Interactions by Graph Parsing Neural Networks）</news:title>
   <news:publication_date>2026-06-06T16:09:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697700</loc>
  <lastmod>2026-06-06T16:08:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>点群データに対するデコンボリューションネットワークを用いた車両検出と追跡（Deconvolutional Networks for Point-Cloud Vehicle Detection and Tracking in Driving Scenarios）</news:title>
   <news:publication_date>2026-06-06T16:08:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697698</loc>
  <lastmod>2026-06-06T16:08:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヤコビ行列に基づく最大サリエンシー攻撃の発展（Maximal Jacobian-based Saliency Map Attack）</news:title>
   <news:publication_date>2026-06-06T16:08:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697696</loc>
  <lastmod>2026-06-06T16:07:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>手作業特徴量から深層学習へ移行するがんラジオミクスの挑戦と展望（From Hand‑Crafted to Deep Learning‑based Cancer Radiomics: Challenges and Opportunities）</news:title>
   <news:publication_date>2026-06-06T16:07:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697694</loc>
  <lastmod>2026-06-06T16:07:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>金融分野のアスペクト別感情分析と深層表現の活用（Financial Aspect-Based Sentiment Analysis using Deep Representations）</news:title>
   <news:publication_date>2026-06-06T16:07:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697692</loc>
  <lastmod>2026-06-06T15:16:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モバイル数学学習環境の構成要素設計（METHODOLOGY OF SEPARATE COMPONENTS FORMATION OF MOBILE MATHEMATICAL ENVIRONMENT &amp;quot;HIGHER MATHEMATICS&amp;quot;）</news:title>
   <news:publication_date>2026-06-06T15:16:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697690</loc>
  <lastmod>2026-06-06T15:08:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PhaseMACによる低消費電力・小面積のMAC回路（PhaseMAC: A 14 TOPS/W 8bit GRO based Phase Domain MAC Circuit for In-Sensor-Computed Deep Learning Accelerators）</news:title>
   <news:publication_date>2026-06-06T15:08:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697688</loc>
  <lastmod>2026-06-06T15:08:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SOTERによるロボット安全の実行時保証フレームワーク（SOTER: A Runtime Assurance Framework for Programming Safe Robotics Systems）</news:title>
   <news:publication_date>2026-06-06T15:08:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697686</loc>
  <lastmod>2026-06-06T15:08:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MH-IIIの状態方程式――タイタンと超タイタンにおける深部メタン貯留庫の可能性 (The Equation of State of MH-III: A Possible Deep CH4 Reservoir in Titan, Super-Titan Exoplanets and Moons)</news:title>
   <news:publication_date>2026-06-06T15:08:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697684</loc>
  <lastmod>2026-06-06T15:06:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>要約生成における抽象化の向上（Improving Abstraction in Text Summarization）</news:title>
   <news:publication_date>2026-06-06T15:06:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697682</loc>
  <lastmod>2026-06-06T15:06:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>2次元深水における孤立波の不存在（NO SOLITARY WAVES IN 2-D GRAVITY AND CAPILLARY WAVES IN DEEP WATER）</news:title>
   <news:publication_date>2026-06-06T15:06:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697680</loc>
  <lastmod>2026-06-06T15:06:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>加速器用真空ウィンドウの製造技術と教訓（OVERVIEW OF FABRICATION TECHNIQUES AND LESSONS LEARNED WITH ACCELERATOR VACUUM WINDOWS）</news:title>
   <news:publication_date>2026-06-06T15:06:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697678</loc>
  <lastmod>2026-06-06T14:14:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LIFT: データ処理システムにおけるデモから学ぶ強化学習（LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations）</news:title>
   <news:publication_date>2026-06-06T14:14:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697676</loc>
  <lastmod>2026-06-06T14:14:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成順序が言語モデルを変える――二段階生成の示した洞察（The Importance of Generation Order in Language Modeling）</news:title>
   <news:publication_date>2026-06-06T14:14:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697674</loc>
  <lastmod>2026-06-06T14:12:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>行列ベースのR´enyi α次エントロピーの多変量拡張（Multivariate Extension of Matrix-based R´enyi’s α-order Entropy Functional）</news:title>
   <news:publication_date>2026-06-06T14:12:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697672</loc>
  <lastmod>2026-06-06T14:12:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高フレームレート心臓超音波画像における深層学習による補正（High frame-rate cardiac ultrasound imaging with deep learning）</news:title>
   <news:publication_date>2026-06-06T14:12:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697670</loc>
  <lastmod>2026-06-06T14:12:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>プライマリサンプル空間における重要度サンプリングの学習（Learning to Importance Sample in Primary Sample Space）</news:title>
   <news:publication_date>2026-06-06T14:12:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697668</loc>
  <lastmod>2026-06-06T14:12:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ATLASのトップ粒子とWボソンの識別性能（Performance of top-quark and W-boson tagging with ATLAS in Run 2 of the LHC）</news:title>
   <news:publication_date>2026-06-06T14:12:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697666</loc>
  <lastmod>2026-06-06T14:11:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スタイル転移を無教師で行う手法（Style Transfer as Unsupervised Machine Translation）</news:title>
   <news:publication_date>2026-06-06T14:11:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697664</loc>
  <lastmod>2026-06-06T13:20:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>因果効果推定のための転移学習（Transfer Learning for Estimating Causal Effects using Neural Networks）</news:title>
   <news:publication_date>2026-06-06T13:20:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697662</loc>
  <lastmod>2026-06-06T13:20:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高品質な超音波マルチライン送信を深層学習で改善する（High quality ultrasonic multi-line transmission through deep learning）</news:title>
   <news:publication_date>2026-06-06T13:20:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697660</loc>
  <lastmod>2026-06-06T13:19:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スペクトルグラフクラスタリングにおける「Two Truths」現象（On a &amp;#039;Two Truths&amp;#039; Phenomenon in Spectral Graph Clustering）</news:title>
   <news:publication_date>2026-06-06T13:19:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697658</loc>
  <lastmod>2026-06-06T13:19:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電波画像における一過性・変動源の検出手法（Identifying transient and variable sources in radio images）</news:title>
   <news:publication_date>2026-06-06T13:19:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697656</loc>
  <lastmod>2026-06-06T13:19:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Webly Supervised Joint Embeddingによる画像–テキスト検索のスケール拡張（Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval）</news:title>
   <news:publication_date>2026-06-06T13:19:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697654</loc>
  <lastmod>2026-06-06T13:18:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>車種識別の深層学習パイプラインがもたらす実務的変化（Deep Learning Based Vehicle Make-Model Classification）</news:title>
   <news:publication_date>2026-06-06T13:18:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697652</loc>
  <lastmod>2026-06-06T13:18:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時間無関係予測（Time-Agnostic Prediction: Predicting Predictable Video Frames）</news:title>
   <news:publication_date>2026-06-06T13:18:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697650</loc>
  <lastmod>2026-06-06T12:27:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフ畳み込みニューラルネットワークの拓く地平（Topology and Prediction Focused Research on Graph Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-06-06T12:27:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697648</loc>
  <lastmod>2026-06-06T12:27:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ポートレート画像の補完と外挿（Deep Portrait Image Completion and Extrapolation）</news:title>
   <news:publication_date>2026-06-06T12:27:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697646</loc>
  <lastmod>2026-06-06T12:27:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>空間およびチャネルのSqueeze &amp;amp; ExcitationでF-CNNを再較正する手法（Recalibrating Fully Convolutional Networks with Spatial and Channel &amp;#039;Squeeze &amp;amp; Excitation&amp;#039; Blocks）</news:title>
   <news:publication_date>2026-06-06T12:27:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697644</loc>
  <lastmod>2026-06-06T12:26:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>論理ルールを再考する：感情分類におけるエンコーディングの重要性（Revisiting the Importance of Encoding Logic Rules in Sentiment Classification）</news:title>
   <news:publication_date>2026-06-06T12:26:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697642</loc>
  <lastmod>2026-06-06T12:26:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>遺伝的プログラミングによるタイムドオートマトン学習（Learning Timed Automata via Genetic Programming）</news:title>
   <news:publication_date>2026-06-06T12:26:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697640</loc>
  <lastmod>2026-06-06T12:26:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>探索戦略の多様性を報酬に変える手法（Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits）</news:title>
   <news:publication_date>2026-06-06T12:26:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/697638</loc>
  <lastmod>2026-06-06T12:25:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキストを知識グラフの実体へ写像する手法（Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs）</news:title>
   <news:publication_date>2026-06-06T12:25:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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 <url>
  <loc>https://aibr.jp/archives/697636</loc>
  <lastmod>2026-06-06T11:34:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無線信号分類に対する敵対的攻撃の実装と意味（Adversarial Attacks on Deep-Learning Based Radio Signal Classification）</news:title>
   <news:publication_date>2026-06-06T11:34:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697634</loc>
  <lastmod>2026-06-06T11:34:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エンドツーエンドのニューラルエンティティリンク（End-to-End Neural Entity Linking）</news:title>
   <news:publication_date>2026-06-06T11:34:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697632</loc>
  <lastmod>2026-06-06T11:34:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数NLPタスクの共有構造と階層の探索（Exploring Shared Structures and Hierarchies for Multiple NLP Tasks）</news:title>
   <news:publication_date>2026-06-06T11:34:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697630</loc>
  <lastmod>2026-06-06T11:34:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>イントネーションが英語スピーキング評価で果たす役割（Role of Intonation in Scoring Spoken English）</news:title>
   <news:publication_date>2026-06-06T11:34:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697628</loc>
  <lastmod>2026-06-06T11:34:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層強化学習で学んだニューラルネットが能動流れ制御の戦略を発見（ARTIFICIAL NEURAL NETWORKS TRAINED THROUGH DEEP REINFORCEMENT LEARNING DISCOVER CONTROL STRATEGIES FOR ACTIVE FLOW CONTROL）</news:title>
   <news:publication_date>2026-06-06T11:34:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697626</loc>
  <lastmod>2026-06-06T11:33:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PVNetによる点群と多視点の統合3D形状認識（PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition）</news:title>
   <news:publication_date>2026-06-06T11:33:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697624</loc>
  <lastmod>2026-06-06T11:33:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>地理的整合性を組み込んだ空中画像の深層マルチタスク学習（Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images）</news:title>
   <news:publication_date>2026-06-06T11:33:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697622</loc>
  <lastmod>2026-06-06T10:43:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エッジで学習する機械学習アーキテクチャと5G適用（Machine Learning at the Edge: A Data-Driven Architecture with Applications to 5G Cellular Networks）</news:title>
   <news:publication_date>2026-06-06T10:43:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697620</loc>
  <lastmod>2026-06-06T10:42:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>過去へ向けた局所実在論の検証（Testing Local Realism into the Past without Detection and Locality Loopholes）</news:title>
   <news:publication_date>2026-06-06T10:42:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697618</loc>
  <lastmod>2026-06-06T10:42:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多クラス・ユニバーサムSVM（Multiclass Universum SVM）</news:title>
   <news:publication_date>2026-06-06T10:42:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697616</loc>
  <lastmod>2026-06-06T10:42:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自閉スペクトラム症における脳バイオマーカー解釈と深層学習（Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI）</news:title>
   <news:publication_date>2026-06-06T10:42:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697614</loc>
  <lastmod>2026-06-06T10:42:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>20 Questionsを政策ベース強化学習で解く（Playing 20 Question Game with Policy-Based Reinforcement Learning）</news:title>
   <news:publication_date>2026-06-06T10:42:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697612</loc>
  <lastmod>2026-06-06T10:41:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己学習で泳ぐ微小スイマーの設計（Self-learning how to swim at low Reynolds number）</news:title>
   <news:publication_date>2026-06-06T10:41:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697610</loc>
  <lastmod>2026-06-06T10:41:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>昆虫サイボーグ：少量データで機械学習を改善する生体模倣特徴生成器 (Insect cyborgs: Bio-mimetic feature generators improve machine learning accuracy on limited data)</news:title>
   <news:publication_date>2026-06-06T10:41:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697608</loc>
  <lastmod>2026-06-06T09:50:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インターネット価格競争に対する潜在ディリクレ配分法（Latent Dirichlet Allocation for Internet Price War）</news:title>
   <news:publication_date>2026-06-06T09:50:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697606</loc>
  <lastmod>2026-06-06T09:50:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>レビュー駆動型マルチラベル音楽スタイル分類（Review-Driven Multi-Label Music Style Classification）</news:title>
   <news:publication_date>2026-06-06T09:50:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697604</loc>
  <lastmod>2026-06-06T09:50:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異常検知に効く生成的データ増強 DOPING（DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN）</news:title>
   <news:publication_date>2026-06-06T09:50:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697602</loc>
  <lastmod>2026-06-06T09:50:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>脳腫瘍の磁気共鳴スペクトロスコピー信号を生成する手法（Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models）</news:title>
   <news:publication_date>2026-06-06T09:50:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697600</loc>
  <lastmod>2026-06-06T09:49:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>決定論的状況における情報ボトルネックの注意点（Caveats for Information Bottleneck in Deterministic Scenarios）</news:title>
   <news:publication_date>2026-06-06T09:49:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697598</loc>
  <lastmod>2026-06-06T09:49:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダムマルチモデル深層学習による分類改善（An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL))</news:title>
   <news:publication_date>2026-06-06T09:49:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697596</loc>
  <lastmod>2026-06-06T09:49:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RF駆動のコグニティブ無線に強化学習を応用する意義（Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter）</news:title>
   <news:publication_date>2026-06-06T09:49:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697594</loc>
  <lastmod>2026-06-06T08:58:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Anytime Learningが切り開く有機的コンピューティングの次段階（Anytime Learning - The next Step in Organic Computing?）</news:title>
   <news:publication_date>2026-06-06T08:58:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697592</loc>
  <lastmod>2026-06-06T08:57:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>通信効率化された確率的勾配降下法の統一フレームワーク（Cooperative SGD: A Unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms）</news:title>
   <news:publication_date>2026-06-06T08:57:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697590</loc>
  <lastmod>2026-06-06T08:57:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Approximation Treesによるモデル蒸留の統計的安定性（Approximation Trees: Statistical Stability in Model Distillation）</news:title>
   <news:publication_date>2026-06-06T08:57:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697588</loc>
  <lastmod>2026-06-06T08:56:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特徴学習を用いた頑健な反事実推論（ROBUST COUNTERFACTUAL INFERENCES USING FEATURE LEARNING AND THEIR APPLICATIONS）</news:title>
   <news:publication_date>2026-06-06T08:56:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697586</loc>
  <lastmod>2026-06-06T08:56:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>透明な注意機構で深い翻訳モデルを学習する（Training Deeper Neural Machine Translation Models with Transparent Attention）</news:title>
   <news:publication_date>2026-06-06T08:56:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697584</loc>
  <lastmod>2026-06-06T08:56:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層的セマンティック画像操作の学習（Learning Hierarchical Semantic Image Manipulation through Structured Representations）</news:title>
   <news:publication_date>2026-06-06T08:56:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697582</loc>
  <lastmod>2026-06-06T08:56:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランドマークベースの視覚的場所認識への深い洞察（Towards A Deep Insight into Landmark-based Visual Place Recognition: Methodology and Practice）</news:title>
   <news:publication_date>2026-06-06T08:56:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697580</loc>
  <lastmod>2026-06-06T08:04:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的学習による単眼深度推定の再考（Rethinking Monocular Depth Estimation with Adversarial Training）</news:title>
   <news:publication_date>2026-06-06T08:04:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697578</loc>
  <lastmod>2026-06-06T08:04:33Z</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構造と変分不等式の接点（Deep Neural Network Structures Solving Variational Inequalities）</news:title>
   <news:publication_date>2026-06-06T08:04:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697576</loc>
  <lastmod>2026-06-06T08:04:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医療画像で注目領域を自動活用するAttention Gate（Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images）</news:title>
   <news:publication_date>2026-06-06T08:04:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697574</loc>
  <lastmod>2026-06-06T08:03:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビデオ・ジグソー：映像の時空間文脈を利用した自己教師あり学習（Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition）</news:title>
   <news:publication_date>2026-06-06T08:03:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697572</loc>
  <lastmod>2026-06-06T08:03:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>混合型データに対応する拡張PCA：XPCA（XPCA: Extending PCA for a Combination of Discrete and Continuous Variables）</news:title>
   <news:publication_date>2026-06-06T08:03:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697570</loc>
  <lastmod>2026-06-06T08:02:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二次特徴の民主的集約（Second-order Democratic Aggregation）</news:title>
   <news:publication_date>2026-06-06T08:02:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697568</loc>
  <lastmod>2026-06-06T08:02:30Z</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>2026-06-06T08:02:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/697566</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>2026-06-06T07:11:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697564</loc>
  <lastmod>2026-06-06T07:11:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深宇宙分布から宇宙論を推定するベイズ的フォワードモデリング（Cosmological inference from Bayesian forward modelling of deep galaxy redshift surveys）</news:title>
   <news:publication_date>2026-06-06T07:11:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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 <url>
  <loc>https://aibr.jp/archives/697562</loc>
  <lastmod>2026-06-06T07:10:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>形状ノイズ限界を超える弱レンズせん断推定（Weak lensing shear estimation beyond the shape-noise limit: a machine learning approach）</news:title>
   <news:publication_date>2026-06-06T07:10:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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 <url>
  <loc>https://aibr.jp/archives/697560</loc>
  <lastmod>2026-06-06T07:09:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3Dトポロジー最適化を加速する畳み込みニューラルネットワーク（3D Topology Optimization Using Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-06-06T07:09:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697558</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>一般化された直交分解によるテンソル解析の拡張（GENERALIZED CANONICAL POLYADIC TENSOR DECOMPOSITION）</news:title>
   <news:publication_date>2026-06-06T07:09:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697556</loc>
  <lastmod>2026-06-06T07:09:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MRからCTを合成するDeep Boosted Regression（Deep Boosted Regression for MR to CT Synthesis）</news:title>
   <news:publication_date>2026-06-06T07:09:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697554</loc>
  <lastmod>2026-06-06T07:09:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>粗視化と微修正を同時に学ぶ光学フロー推定（JOINT COARSE-AND-FINE REASONING FOR DEEP OPTICAL FLOW）</news:title>
   <news:publication_date>2026-06-06T07:09:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697552</loc>
  <lastmod>2026-06-06T06:17:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自然景観の属性操作を幻視で行う手法（Manipulating Attributes of Natural Scenes via Hallucination）</news:title>
   <news:publication_date>2026-06-06T06:17:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697550</loc>
  <lastmod>2026-06-06T06:17:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>明示的ニューラルネットワーク構成による分割定数近似（AN EXPLICIT NEURAL NETWORK CONSTRUCTION FOR PIECEWISE CONSTANT FUNCTION APPROXIMATION）</news:title>
   <news:publication_date>2026-06-06T06:17:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697548</loc>
  <lastmod>2026-06-06T06:17:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不完全条件下のキュービック正則化ニュートン法の実用化（A Note on Inexact Condition for Cubic Regularized Newton’s Method）</news:title>
   <news:publication_date>2026-06-06T06:17:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697546</loc>
  <lastmod>2026-06-06T06:16:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的自己注意による文埋め込みの改良（Dynamic Self-Attention: Computing Attention over Words Dynamically）</news:title>
   <news:publication_date>2026-06-06T06:16:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697544</loc>
  <lastmod>2026-06-06T06:15:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意の「柔らかさ」を学習する—自己適応的注意温度（Self-Adaptive Attention Temperature）</news:title>
   <news:publication_date>2026-06-06T06:15:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697542</loc>
  <lastmod>2026-06-06T06:15:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>KŁ性質下における三次正則化法の収束解析（Convergence of Cubic Regularization for Nonconvex Optimization under KŁ Property）</news:title>
   <news:publication_date>2026-06-06T06:15:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697540</loc>
  <lastmod>2026-06-06T06:15:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-06-06T06:15:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697538</loc>
  <lastmod>2026-06-06T05:23:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サブワード単位からのニューラル固有表現認識（Neural Named Entity Recognition from Subword Units）</news:title>
   <news:publication_date>2026-06-06T05:23:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697536</loc>
  <lastmod>2026-06-06T05:23:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数枝シアムネットワークとオンライン選択による物体追跡（Multi-Branch Siamese Networks with Online Selection for Object Tracking）</news:title>
   <news:publication_date>2026-06-06T05:23:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697534</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>2026-06-06T05:23:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697532</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>2026-06-06T05:22:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697530</loc>
  <lastmod>2026-06-06T05:22:18Z</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>2026-06-06T05:22:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697527</loc>
  <lastmod>2026-06-06T05:22:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少量データで複数領域を横断する文書レイアウト理解（Multidomain Document Layout Understanding using Few Shot Object Detection）</news:title>
   <news:publication_date>2026-06-06T05:22:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697525</loc>
  <lastmod>2026-06-06T05:21:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>セミトレインドメムリスタクロスバーとオンデバイス学習加速器（Semi-Trained Memristive Crossbar Computing Engine with In-Situ Learning Accelerator）</news:title>
   <news:publication_date>2026-06-06T05:21:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697523</loc>
  <lastmod>2026-06-06T04:30:22Z</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>2026-06-06T04:30:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697521</loc>
  <lastmod>2026-06-06T04:20:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>注意機構付き畳み込みニューラルネットワークによる文分類（An attention-gated convolutional neural network for sentence classification）</news:title>
   <news:publication_date>2026-06-06T04:20:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697519</loc>
  <lastmod>2026-06-06T04:20:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音楽的洗練度の推定（Predicting Musical Sophistication from Music Listening Behaviors）</news:title>
   <news:publication_date>2026-06-06T04:20:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697517</loc>
  <lastmod>2026-06-06T04:19:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラベルなしで学ぶ動画人物再識別の新枠組み（Deep Association Learning for Unsupervised Video Person Re-identification）</news:title>
   <news:publication_date>2026-06-06T04:19:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697515</loc>
  <lastmod>2026-06-06T04:19:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>感情メモリによる非並列データでの感情変換（Learning Sentiment Memories for Sentiment Modification without Parallel Data）</news:title>
   <news:publication_date>2026-06-06T04:19:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697513</loc>
  <lastmod>2026-06-06T04:18:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepCorrによるTorの流量相関攻撃（DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning）</news:title>
   <news:publication_date>2026-06-06T04:18:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697511</loc>
  <lastmod>2026-06-06T04:18:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オークション詐欺データのクラスタリングとラベリング（Clustering and Labelling Auction Fraud Data）</news:title>
   <news:publication_date>2026-06-06T04:18:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697509</loc>
  <lastmod>2026-06-06T03:26:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サポート集合の構造情報を活かす一撃学習（Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning）</news:title>
   <news:publication_date>2026-06-06T03:26:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697507</loc>
  <lastmod>2026-06-06T03:18:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層ネットワーク生成画像の識別における色成分の差異（Identification of Deep Network Generated Images Using Disparities in Color Components）</news:title>
   <news:publication_date>2026-06-06T03:18:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697505</loc>
  <lastmod>2026-06-06T03:17:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CentralNet: マルチモーダル融合を階層的に実現する手法（CentralNet: a Multilayer Approach for Multimodal Fusion）</news:title>
   <news:publication_date>2026-06-06T03:17:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697503</loc>
  <lastmod>2026-06-06T03:17:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時系列に適応する深層プーリングによる行動認識（Deep Adaptive Temporal Pooling for Activity Recognition）</news:title>
   <news:publication_date>2026-06-06T03:17:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697501</loc>
  <lastmod>2026-06-06T03:16:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LASSOのスケーリングによる改善（On an improvement of LASSO by scaling）</news:title>
   <news:publication_date>2026-06-06T03:16:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697499</loc>
  <lastmod>2026-06-06T03:16:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MicroBooNEの画素レベル電磁粒子同定を可能にした深層ニューラルネットワーク（A Deep Neural Network for Pixel-Level Electromagnetic Particle Identification in the MicroBooNE Liquid Argon Time Projection Chamber）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697497</loc>
  <lastmod>2026-06-06T03:16:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>制約空間におけるモード崩壊からの脱出（Escaping from Collapsing Modes in a Constrained Space）</news:title>
   <news:publication_date>2026-06-06T03:16:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697495</loc>
  <lastmod>2026-06-06T02:24:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習を用いた現代の物体検出サーベイ（A Survey of Modern Object Detection Literature using Deep Learning）</news:title>
   <news:publication_date>2026-06-06T02:24:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697493</loc>
  <lastmod>2026-06-06T02:24:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スポンサードサーチの反実仮想ポリシー推定器Genie（Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace）</news:title>
   <news:publication_date>2026-06-06T02:24:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697491</loc>
  <lastmod>2026-06-06T02:24:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワークラッソによる半教師付き回帰の解析（Analysis of Network Lasso for Semi-Supervised Regression）</news:title>
   <news:publication_date>2026-06-06T02:24:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697489</loc>
  <lastmod>2026-06-06T02:23:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>胸部X線画像における弱教師あり局所化のための深層マルチスケール特徴学習（Deep multiscale convolutional feature learning for weakly supervised localization of chest pathologies in X-ray images）</news:title>
   <news:publication_date>2026-06-06T02:23:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697487</loc>
  <lastmod>2026-06-06T02:23:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキスト感情表現の最適化（Finding Good Representations of Emotions for Text Classification）</news:title>
   <news:publication_date>2026-06-06T02:23:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697485</loc>
  <lastmod>2026-06-06T02:23:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層的文脈化表現によるマルチターン応答選択の改善（Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection）</news:title>
   <news:publication_date>2026-06-06T02:23:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697483</loc>
  <lastmod>2026-06-06T02:22:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分類器間の「議論が起きる領域」を見つける手法（Controversy Rules — Discovering Regions Where Classifiers (Dis-)Agree Exceptionally）</news:title>
   <news:publication_date>2026-06-06T02:22:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697481</loc>
  <lastmod>2026-06-06T01:31:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>連続最適化によるニューラルアーキテクチャ探索（Neural Architecture Optimization）</news:title>
   <news:publication_date>2026-06-06T01:31:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697479</loc>
  <lastmod>2026-06-06T01:27:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非パラメトリック回帰と教師あり機械学習のための統一導関数ベースのモデル解釈（Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning）</news:title>
   <news:publication_date>2026-06-06T01:27:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697477</loc>
  <lastmod>2026-06-06T01:21:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>混合密度ネットワークによる核検出（Nuclei Detection Using Mixture Density Networks）</news:title>
   <news:publication_date>2026-06-06T01:21:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697475</loc>
  <lastmod>2026-06-06T01:21:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>授業前動画への応答収集システム（Response Collector: A Video Learning System for Flipped Classrooms）</news:title>
   <news:publication_date>2026-06-06T01:21:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697473</loc>
  <lastmod>2026-06-06T01:20:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大きなミニバッチを使うな、ローカルSGDを使え（DON&amp;#039;T USE LARGE MINI-BATCHES, USE LOCAL SGD）</news:title>
   <news:publication_date>2026-06-06T01:20:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697471</loc>
  <lastmod>2026-06-06T01:20:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ポーカー確率を深層学習で近似する（Approximating Poker Probabilities with Deep Learning）</news:title>
   <news:publication_date>2026-06-06T01:20:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697469</loc>
  <lastmod>2026-06-06T01:19:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>平均場近似、凸ヒエラルキー、および相関ラウンディングの最適性（Mean-field approximation, convex hierarchies, and the optimality of correlation rounding）</news:title>
   <news:publication_date>2026-06-06T01:19:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697467</loc>
  <lastmod>2026-06-06T00:28:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダム深層ネットワークのフィッシャー情報量と自然勾配学習（Fisher Information and Natural Gradient Learning of Random Deep Networks）</news:title>
   <news:publication_date>2026-06-06T00:28:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697465</loc>
  <lastmod>2026-06-06T00:20:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>粗い注釈から高精度セマンティックセグメンテーションへ（Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning）</news:title>
   <news:publication_date>2026-06-06T00:20:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697463</loc>
  <lastmod>2026-06-06T00:20:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>潜在変数を用いた抽出型文書要約（Neural Latent Extractive Document Summarization）</news:title>
   <news:publication_date>2026-06-06T00:20:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697461</loc>
  <lastmod>2026-06-06T00:20:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>2次元投影のみで3D姿勢は学習できるか（Can 3D Pose be Learned from 2D Projections Alone?）</news:title>
   <news:publication_date>2026-06-06T00:20:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697459</loc>
  <lastmod>2026-06-06T00:18:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラスタードラッソの効率的解法（Efficient sparse semismooth Newton methods for the clustered lasso problem）</news:title>
   <news:publication_date>2026-06-06T00:18:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697457</loc>
  <lastmod>2026-06-06T00:18:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層ネットワークの信号空間の統計力学的幾何学（Statistical Neurodynamics of Deep Networks: Geometry of Signal Spaces）</news:title>
   <news:publication_date>2026-06-06T00:18:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697455</loc>
  <lastmod>2026-06-06T00:18:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HEARO-5に基づく心疾患検出のDNN最適化（On Deep Neural Networks for Detecting Heart Disease）</news:title>
   <news:publication_date>2026-06-06T00:18:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697453</loc>
  <lastmod>2026-06-05T23:26:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>漸近的ソフトフィルタープルーニング（Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-06-05T23:26:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697451</loc>
  <lastmod>2026-06-05T23:25:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>増分残差学習による超解像の改善（IMPROVING SUPER RESOLUTION METHODS VIA INCREMENTAL RESIDUAL LEARNING）</news:title>
   <news:publication_date>2026-06-05T23:25:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697449</loc>
  <lastmod>2026-06-05T23:25:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダム化と前処理による高速PET再構成（Faster PET Reconstruction with Randomization and Preconditioning）</news:title>
   <news:publication_date>2026-06-05T23:25:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697447</loc>
  <lastmod>2026-06-05T23:24:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対数凹性がない場合のサンプリングアルゴリズムの非漸近境界（Non-asymptotic bounds for sampling algorithms without log-concavity）</news:title>
   <news:publication_date>2026-06-05T23:24:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697445</loc>
  <lastmod>2026-06-05T23:24:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>信頼度に基づくレコメンダー（CoBaR: Confidence-Based Recommender）</news:title>
   <news:publication_date>2026-06-05T23:24:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697443</loc>
  <lastmod>2026-06-05T23:24:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対話相手を知ろうとすることで会話が魅力的になる（Aiming to Know You Better Perhaps Makes Me a More Engaging Dialogue Partner）</news:title>
   <news:publication_date>2026-06-05T23:24:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697441</loc>
  <lastmod>2026-06-05T23:23:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ミリ波システムの位置推定（Position Locationing for Millimeter Wave Systems）</news:title>
   <news:publication_date>2026-06-05T23:23:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697439</loc>
  <lastmod>2026-06-05T22:32:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自動意思決定における人工的説明（Artificial Explanations in Automated Decision-Making）</news:title>
   <news:publication_date>2026-06-05T22:32:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697437</loc>
  <lastmod>2026-06-05T22:32:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>協調学習環境における学生成果（Student Outcomes Across Collaborative-Learning Environments）</news:title>
   <news:publication_date>2026-06-05T22:32:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697435</loc>
  <lastmod>2026-06-05T22:31:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習による非局所相関の検出と定量化（Machine learning non-local correlations）</news:title>
   <news:publication_date>2026-06-05T22:31:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697433</loc>
  <lastmod>2026-06-05T22:31:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>会話型質問応答の挑戦（CoQA: A Conversational Question Answering Challenge）</news:title>
   <news:publication_date>2026-06-05T22:31:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697431</loc>
  <lastmod>2026-06-05T22:30:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異質性の呪い――スパース混合モデルと位相回復における計算的障壁（Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval）</news:title>
   <news:publication_date>2026-06-05T22:30:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697429</loc>
  <lastmod>2026-06-05T22:30:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対話文脈における質問応答のデータセットが切り拓く地平（QuAC: Question Answering in Context）</news:title>
   <news:publication_date>2026-06-05T22:30:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697427</loc>
  <lastmod>2026-06-05T22:30:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハイパーネットワークによる知識グラフ埋め込み（Hypernetwork Knowledge Graph Embeddings）</news:title>
   <news:publication_date>2026-06-05T22:30:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697425</loc>
  <lastmod>2026-06-05T21:39:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PDFマルウェア検出におけるMLPベース手法の実務的示唆（MLPdf: An Effective Machine Learning Based Approach for PDF Malware Detection）</news:title>
   <news:publication_date>2026-06-05T21:39:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697423</loc>
  <lastmod>2026-06-05T21:38:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Union of Intersectionsを用いた大規模統計推定の最適化（Optimizing the Union of Intersections LASSO (UoILASSO) and Vector Autoregressive (UoIVAR) Algorithms for Improved Statistical Estimation at Scale）</news:title>
   <news:publication_date>2026-06-05T21:38:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697421</loc>
  <lastmod>2026-06-05T21:38:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ESO 428-G014の深部Chandra観測：イオン化コーンと電波ジェット領域の高解像度分光イメージング（Deep Chandra Observations of ESO 428-G014: III. High Resolution Spectral Imaging of the Ionization Cone and Radio Jet Region）</news:title>
   <news:publication_date>2026-06-05T21:38:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697419</loc>
  <lastmod>2026-06-05T21:37:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>4DCTからの肺換気画像生成を深層CNNで直接推定する手法（Deriving ventilation imaging from 4DCT by deep convolutional neural network）</news:title>
   <news:publication_date>2026-06-05T21:37:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697417</loc>
  <lastmod>2026-06-05T21:37:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PSR J2055+2539の二本の尾の解析（The two tails of PSR J2055+2539 as seen by Chandra: Analysis of the nebular morphology and pulsar proper motion）</news:title>
   <news:publication_date>2026-06-05T21:37:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697415</loc>
  <lastmod>2026-06-05T21:37:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ワイドフィールド星のトレイル画像と深層学習による亜秒天文変動探索（Searching for Sub-Second Stellar Variability with Wide-Field Star Trails and Deep Learning）</news:title>
   <news:publication_date>2026-06-05T21:37:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697413</loc>
  <lastmod>2026-06-05T21:36:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>変数選択のためのアンサンブル学習法（An ensemble learning method for variable selection: application to high-dimensional data and missing values）</news:title>
   <news:publication_date>2026-06-05T21:36:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697409</loc>
  <lastmod>2026-06-05T19:53:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文章の一貫性を高める骨格ベース生成（A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation）</news:title>
   <news:publication_date>2026-06-05T19:53:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697407</loc>
  <lastmod>2026-06-05T19:52:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DFT駆動の多忠実度アプローチによる原子スケールエネルギーモデル（Smart energy models for atomistic simulations using a DFT-driven multifidelity approach）</news:title>
   <news:publication_date>2026-06-05T19:52:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697405</loc>
  <lastmod>2026-06-05T19:52:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バックプロパゲーションの生物学的妥当性を問い直す（Backpropagation and Biological Plausibility）</news:title>
   <news:publication_date>2026-06-05T19:52:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697403</loc>
  <lastmod>2026-06-05T19:51:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>等長変換に不変なグラフベース深層ニューラルネットワーク（Isometric Transformation Invariant Graph-based Deep Neural Network）</news:title>
   <news:publication_date>2026-06-05T19:51:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697401</loc>
  <lastmod>2026-06-05T19:51:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>改善に基づく新しい獲得関数によるベイズ最適化の改良（On a New Improvement-Based Acquisition Function for Bayesian Optimization）</news:title>
   <news:publication_date>2026-06-05T19:51:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697399</loc>
  <lastmod>2026-06-05T19:51:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DevOpsにおけるパフォーマンス対応の実践調査（How is Performance Addressed in DevOps? A Survey on Industrial Practices）</news:title>
   <news:publication_date>2026-06-05T19:51:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697397</loc>
  <lastmod>2026-06-05T19:50:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層生成モデルによる拡張可能な母集団合成（Scalable Population Synthesis with Deep Generative Modeling）</news:title>
   <news:publication_date>2026-06-05T19:50:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697395</loc>
  <lastmod>2026-06-05T18:59:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時空間系列予測の機械学習総説（Machine Learning for Spatiotemporal Sequence Forecasting: A Survey）</news:title>
   <news:publication_date>2026-06-05T18:59:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697393</loc>
  <lastmod>2026-06-05T18:58:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二次元双磁気励起子の準安定束縛状態（Metastable Bound States of the Two-Dimensional Bi-magnetoexcitons in the Lowest Landau Levels Approximation）</news:title>
   <news:publication_date>2026-06-05T18:58:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697391</loc>
  <lastmod>2026-06-05T18:57:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模点群を効率的に処理するハイブリッド3D畳み込み（Fully-Convolutional Point Networks for Large-Scale Point Clouds）</news:title>
   <news:publication_date>2026-06-05T18:57:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697389</loc>
  <lastmod>2026-06-05T18:57:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>訓練データへの改ざんが引き起こす深刻なリスク（Are You Tampering With My Data?）</news:title>
   <news:publication_date>2026-06-05T18:57:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697387</loc>
  <lastmod>2026-06-05T18:57:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多言語ニューラル機械翻訳が学ぶ意味抽象の測定（Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks）</news:title>
   <news:publication_date>2026-06-05T18:57:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697385</loc>
  <lastmod>2026-06-05T18:57:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキストから画像を作る新しい道具：対称蒸留ネットワーク（Text-to-image Synthesis via Symmetrical Distillation Networks）</news:title>
   <news:publication_date>2026-06-05T18:57:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697383</loc>
  <lastmod>2026-06-05T18:56:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フレア核におけるベクトル磁場の測定（Measurement of Vector Magnetic Field in a Flare kernel with a Spectropolarimetric Observation in He I 10830 Å）</news:title>
   <news:publication_date>2026-06-05T18:56:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697381</loc>
  <lastmod>2026-06-05T18:05:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>zoNNscan: 境界エントロピーによる入力周辺検査インデックス（zoNNscan: a boundary-entropy index for zone inspection of neural models）</news:title>
   <news:publication_date>2026-06-05T18:05:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697379</loc>
  <lastmod>2026-06-05T18:05:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>欠損モダリティに強い推薦学習（LRMM: Learning to Recommend with Missing Modalities）</news:title>
   <news:publication_date>2026-06-05T18:05:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697377</loc>
  <lastmod>2026-06-05T18:04:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データセンター冷却の消費電力最適化のための強化学習テストベッド（Reinforcement Learning Testbed for Power-Consumption Optimization）</news:title>
   <news:publication_date>2026-06-05T18:04:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697375</loc>
  <lastmod>2026-06-05T18:03:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Ithemalによる基本ブロック・スループット推定の実用化（Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks）</news:title>
   <news:publication_date>2026-06-05T18:03:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697373</loc>
  <lastmod>2026-06-05T18:03:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>臨床領域における自然言語推論からの教訓（Lessons from Natural Language Inference in the Clinical Domain）</news:title>
   <news:publication_date>2026-06-05T18:03:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697371</loc>
  <lastmod>2026-06-05T18:03:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>半教師あり学習によるニューラルキーフレーズ生成（Semi-Supervised Learning for Neural Keyphrase Generation）</news:title>
   <news:publication_date>2026-06-05T18:03:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697369</loc>
  <lastmod>2026-06-05T18:02:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個別化された痛み認識のための多タスク多重カーネル機（Multi-task multiple kernel machines for personalized pain recognition from fNIRS）</news:title>
   <news:publication_date>2026-06-05T18:02:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697367</loc>
  <lastmod>2026-06-05T17:11:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対話的セマンティックパーシングによるIf-Thenレシピ合成（Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning）</news:title>
   <news:publication_date>2026-06-05T17:11:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697365</loc>
  <lastmod>2026-06-05T17:10:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文内ノイズ低減と転移学習によるニューラル関係抽出（Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning）</news:title>
   <news:publication_date>2026-06-05T17:10:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697363</loc>
  <lastmod>2026-06-05T17:10:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非整合残差分布を正則化するWrapped Loss Function（Wrapped Loss Function for Regularizing Nonconforming Residual Distributions）</news:title>
   <news:publication_date>2026-06-05T17:10:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697361</loc>
  <lastmod>2026-06-05T17:09:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>損失データ分析（Loss Data Analytics）</news:title>
   <news:publication_date>2026-06-05T17:09:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697359</loc>
  <lastmod>2026-06-05T17:09:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>壊滅的忘却の重要性（Catastrophic Importance of Catastrophic Forgetting）</news:title>
   <news:publication_date>2026-06-05T17:09:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697357</loc>
  <lastmod>2026-06-05T17:09:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>臨床時系列データにおける不変性を学習する手法（Sequence Transformer Networks）</news:title>
   <news:publication_date>2026-06-05T17:09:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697355</loc>
  <lastmod>2026-06-05T17:08:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速スペクトログラム反転とMCNNの実務的意義（Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-06-05T17:08:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697353</loc>
  <lastmod>2026-06-05T16:17:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>VIEW-ENHANCED RECURRENT ATTENTIONによる3D形状分類の能動的視点選択（VERAM: View-Enhanced Recurrent Attention Model for 3D Shape Classification）</news:title>
   <news:publication_date>2026-06-05T16:17:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697351</loc>
  <lastmod>2026-06-05T16:16:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像のメタデータ改竄検出の多モーダル手法（Deep Multimodal Image-Repurposing Detection）</news:title>
   <news:publication_date>2026-06-05T16:16:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697349</loc>
  <lastmod>2026-06-05T16:16:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Vapnik-Chervonenkis次元を用いたモデル選択（Use Of Vapnik-Chervonenkis Dimension in Model Selection）</news:title>
   <news:publication_date>2026-06-05T16:16:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697347</loc>
  <lastmod>2026-06-05T16:15:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Class2Strによる潜在階層学習（Class2Str: End to End Latent Hierarchy Learning）</news:title>
   <news:publication_date>2026-06-05T16:15:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697345</loc>
  <lastmod>2026-06-05T16:15:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep InfoMaxによる表現学習の再定義（LEARNING DEEP REPRESENTATIONS BY MUTUAL INFORMATION ESTIMATION AND MAXIMIZATION）</news:title>
   <news:publication_date>2026-06-05T16:15:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697343</loc>
  <lastmod>2026-06-05T16:15:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成的対抗サンプリングによる能動学習の実用的意義（Adversarial Sampling for Active Learning）</news:title>
   <news:publication_date>2026-06-05T16:15:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697341</loc>
  <lastmod>2026-06-05T16:14:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数の意味的ラベル表現を用いた外部分布検出（Out-of-Distribution Detection using Multiple Semantic Label Representations）</news:title>
   <news:publication_date>2026-06-05T16:14:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697339</loc>
  <lastmod>2026-06-05T15:23:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>星の内部を</news:title>
   <news:publication_date>2026-06-05T15:23:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697337</loc>
  <lastmod>2026-06-05T15:23:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復によるプライバシー増幅（Privacy Amplification by Iteration）</news:title>
   <news:publication_date>2026-06-05T15:23:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697335</loc>
  <lastmod>2026-06-05T15:21:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層畳み込みニューラルネットワーク設計のためのハイブリッド差分進化法 (A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification)</news:title>
   <news:publication_date>2026-06-05T15:21:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697333</loc>
  <lastmod>2026-06-05T15:21:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキスト表現からの人口統計属性の逆例的除去（Adversarial Removal of Demographic Attributes from Text Data）</news:title>
   <news:publication_date>2026-06-05T15:21:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697331</loc>
  <lastmod>2026-06-05T15:21:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的組合せアンサンブルによる敵対的摂動への防御（Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples）</news:title>
   <news:publication_date>2026-06-05T15:21:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697329</loc>
  <lastmod>2026-06-05T15:20:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>縦断データに対する監視付きカーネルPCAの提案（Supervised Kernel PCA For Longitudinal Data）</news:title>
   <news:publication_date>2026-06-05T15:20:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697327</loc>
  <lastmod>2026-06-05T15:20:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>陽子スピンパズルの解明に向けて（Towards solving the proton spin puzzle）</news:title>
   <news:publication_date>2026-06-05T15:20:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697325</loc>
  <lastmod>2026-06-05T14:29:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超新星ニュートリノの高速フレーバー変換は衝突で誘発される（Collisional triggering of fast flavour conversions of supernova neutrinos）</news:title>
   <news:publication_date>2026-06-05T14:29:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697323</loc>
  <lastmod>2026-06-05T14:29:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単眼深度推定をステレオネットワークから蒸留する手法（Learning Monocular Depth by Distilling Cross-domain Stereo Networks）</news:title>
   <news:publication_date>2026-06-05T14:29:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697321</loc>
  <lastmod>2026-06-05T14:28:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Video-to-Video合成の全体像と実務的示唆（Video-to-Video Synthesis）</news:title>
   <news:publication_date>2026-06-05T14:28:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697319</loc>
  <lastmod>2026-06-05T14:28:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>デコンファウンデッド推薦の因果推論アプローチ（The Deconfounded Recommender: A Causal Inference Approach to Recommendation）</news:title>
   <news:publication_date>2026-06-05T14:28:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697317</loc>
  <lastmod>2026-06-05T14:27:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>弱ラベル（Weak Supervision）によるペプチド–スペクトル対応（Peptide-Spectra Matching from Weak Supervision）</news:title>
   <news:publication_date>2026-06-05T14:27:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697315</loc>
  <lastmod>2026-06-05T14:27:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模モバイルゲームの離脱予測のための半教師あり帰納的埋め込みモデル（A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games）</news:title>
   <news:publication_date>2026-06-05T14:27:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697313</loc>
  <lastmod>2026-06-05T14:27:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>言語特徴の解釈合意による認知機能障害検出（Detecting cognitive impairments by agreeing on interpretations of linguistic features）</news:title>
   <news:publication_date>2026-06-05T14:27:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697311</loc>
  <lastmod>2026-06-05T13:36:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>T1単独からのFLAIR合成と白質病変の同時セグメンテーションの意義（Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs）</news:title>
   <news:publication_date>2026-06-05T13:36:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697309</loc>
  <lastmod>2026-06-05T13:28:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数の戦略更新ルール下での協力の感度（Dynamic-sensitive cooperation in the presence of multiple strategy updating rules）</news:title>
   <news:publication_date>2026-06-05T13:28:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697307</loc>
  <lastmod>2026-06-05T13:27:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダム化最短経路によるマルチビューグラフ埋め込み（Multi-View Graph Embedding Using Randomized Shortest Paths）</news:title>
   <news:publication_date>2026-06-05T13:27:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697305</loc>
  <lastmod>2026-06-05T13:26:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自由表面グリーン関数の直接積分による波動解析の簡潔手法（Straightforward integration for free surface Green function and body wave motions）</news:title>
   <news:publication_date>2026-06-05T13:26:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697303</loc>
  <lastmod>2026-06-05T13:25:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Triangle Lassoによるグラフデータの同時クラスタリングと最適化（Triangle Lasso for Simultaneous Clustering and Optimization in Graph Datasets）</news:title>
   <news:publication_date>2026-06-05T13:25:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697301</loc>
  <lastmod>2026-06-05T13:25:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>空間コア・ペリフェリー構造を持つ確率的ネットワークモデル（Random Spatial Network Models with Core-Periphery Structure）</news:title>
   <news:publication_date>2026-06-05T13:25:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697299</loc>
  <lastmod>2026-06-05T13:25:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層質問応答のための適応的文書検索（Adaptive Document Retrieval for Deep Question Answering）</news:title>
   <news:publication_date>2026-06-05T13:25:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697297</loc>
  <lastmod>2026-06-05T12:34:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>双方向LSTMによる中国語形態素解析の実用最前線（State-of-the-art Chinese Word Segmentation with Bi-LSTMs）</news:title>
   <news:publication_date>2026-06-05T12:34:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697295</loc>
  <lastmod>2026-06-05T12:24:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パッチ合意によるグローバル信号復元（PACO: Global Signal Restoration via PAtch COnsensus）</news:title>
   <news:publication_date>2026-06-05T12:24:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697293</loc>
  <lastmod>2026-06-05T12:23:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生涯学習における分離表現とドメイン横断の潜在同型性（Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies）</news:title>
   <news:publication_date>2026-06-05T12:23:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697291</loc>
  <lastmod>2026-06-05T12:23:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アルツハイマー病における分類手法の再現性ある評価フレームワーク（Reproducible evaluation of classification methods in Alzheimer’s disease: framework and application to MRI and PET data）</news:title>
   <news:publication_date>2026-06-05T12:23:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697289</loc>
  <lastmod>2026-06-05T12:22:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所的損失を持つ二次元格子における相互作用ボース粒子のダイナミクス（Interacting bosons in two-dimensional lattices with localized dissipation）</news:title>
   <news:publication_date>2026-06-05T12:22:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697287</loc>
  <lastmod>2026-06-05T12:22:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>失敗から学ぶ目標指向対話方策学習（Goal-oriented Dialogue Policy Learning from Failures）</news:title>
   <news:publication_date>2026-06-05T12:22:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697285</loc>
  <lastmod>2026-06-05T12:22:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フロー単位の細粒度ネットワーク予測の実現（Towards Fine Grained Network Flow Prediction）</news:title>
   <news:publication_date>2026-06-05T12:22:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697283</loc>
  <lastmod>2026-06-05T11:31:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CapsDeMM: 皮膚生検画像におけるMunro’s Microabscess検出のためのカプセルネットワーク（CapsDeMM: Capsule network for Detection of Munro’s Microabscess in skin biopsy images）</news:title>
   <news:publication_date>2026-06-05T11:31:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697281</loc>
  <lastmod>2026-06-05T11:30:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep residual networkによる時間領域音源定位（Deep residual network for sound source localization in the time domain）</news:title>
   <news:publication_date>2026-06-05T11:30:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697279</loc>
  <lastmod>2026-06-05T11:30:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>合成患者データ生成（Synthetic Patient Generation）</news:title>
   <news:publication_date>2026-06-05T11:30:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697277</loc>
  <lastmod>2026-06-05T11:30:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モノリシック結晶PETにおけるDOI位置推定アルゴリズム（A novel DOI Positioning Algorithm for Monolithic Scintillator Crystals in PET based on Gradient Tree Boosting）</news:title>
   <news:publication_date>2026-06-05T11:30:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697275</loc>
  <lastmod>2026-06-05T11:29:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>日周黒点における磁場の高度依存性の問題（The problem of the height dependence of magnetic fields in sunspots）</news:title>
   <news:publication_date>2026-06-05T11:29:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697273</loc>
  <lastmod>2026-06-05T11:29:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速化されたサポートベクターマシン（Faster Support Vector Machines）</news:title>
   <news:publication_date>2026-06-05T11:29:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697271</loc>
  <lastmod>2026-06-05T11:29:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>次のアイテム推薦と自己注意機構（Next Item Recommendation with Self-Attention）</news:title>
   <news:publication_date>2026-06-05T11:29:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697269</loc>
  <lastmod>2026-06-05T10:38:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>メモリを備えた進化的オペレーショナルパーセプトロン（Progressive Operational Perceptron with Memory）</news:title>
   <news:publication_date>2026-06-05T10:38:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697267</loc>
  <lastmod>2026-06-05T10:36:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インスタグラムで観光と地元投稿を分けて読み解く（Learning from #Barcelona Instagram data what Locals and Tourists post about its Neighbourhoods）</news:title>
   <news:publication_date>2026-06-05T10:36:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697265</loc>
  <lastmod>2026-06-05T10:36:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>符号付きグラフ畳み込みネットワーク（Signed Graph Convolutional Network）</news:title>
   <news:publication_date>2026-06-05T10:36:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697263</loc>
  <lastmod>2026-06-05T10:36:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一フィッシュアイカメラによる車両横方向制御のエンドツーエンド学習（End to End Vehicle Lateral Control Using a Single Fisheye Camera）</news:title>
   <news:publication_date>2026-06-05T10:36:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697261</loc>
  <lastmod>2026-06-05T10:36:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Webデータから学ぶ方法の学習（Learning to Learn from Web Data through Deep Semantic Embeddings）</news:title>
   <news:publication_date>2026-06-05T10:36:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697259</loc>
  <lastmod>2026-06-05T10:35:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>依存関係予測によるアーキテクチャ臭の事前察知（Towards Anticipation of Architectural Smells using Link Prediction Techniques）</news:title>
   <news:publication_date>2026-06-05T10:35:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697257</loc>
  <lastmod>2026-06-05T10:35:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>因果発見における親と子の見分け方（Causal Discovery by Telling Apart Parents and Children）</news:title>
   <news:publication_date>2026-06-05T10:35:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697255</loc>
  <lastmod>2026-06-05T09:44:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リアルタイム位置推定とマッピングの最前線（Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality）</news:title>
   <news:publication_date>2026-06-05T09:44:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697253</loc>
  <lastmod>2026-06-05T09:43:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ミスマッチ原理：大きなモデル不確実性下での一般化ラッソの挙動（The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties）</news:title>
   <news:publication_date>2026-06-05T09:43:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697251</loc>
  <lastmod>2026-06-05T09:43:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>条件付き分布類似性に基づく正則化法（A Distribution Similarity Based Regularizer for Learning Bayesian Networks）</news:title>
   <news:publication_date>2026-06-05T09:43:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697249</loc>
  <lastmod>2026-06-05T09:42:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像改変検出を普遍化する深層シャムCNNの視点（Universal Image Manipulation Detection using Deep Siamese Convolutional Neural Network）</news:title>
   <news:publication_date>2026-06-05T09:42:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697247</loc>
  <lastmod>2026-06-05T09:42:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単語表現の後処理による品質改善（POST-PROCESSING OF WORD REPRESENTATIONS VIA VARIANCE NORMALIZATION AND DYNAMIC EMBEDDING）</news:title>
   <news:publication_date>2026-06-05T09:42:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697245</loc>
  <lastmod>2026-06-05T09:42:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Learn-As-You-Go（LAGO）研究の設計と解析—段階的に介入を学び最適化する手法（Analysis of “Learn-As-You-Go” (LAGO) Studies）</news:title>
   <news:publication_date>2026-06-05T09:42:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697243</loc>
  <lastmod>2026-06-05T09:42:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スイッチ制約付きマルチアームドバンディットの一般枠組み（A General Framework of Multi-Armed Bandit Processes by Arm Switch Restrictions）</news:title>
   <news:publication_date>2026-06-05T09:42:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697241</loc>
  <lastmod>2026-06-05T08:51:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己注意型逐次推薦（Self-Attentive Sequential Recommendation）</news:title>
   <news:publication_date>2026-06-05T08:51:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697239</loc>
  <lastmod>2026-06-05T08:50:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>段階的学習による非凸最適化の実用的理論化（Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions）</news:title>
   <news:publication_date>2026-06-05T08:50:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697237</loc>
  <lastmod>2026-06-05T08:50:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SQLからの質問生成がニューラル意味解析を改善する（Question Generation from SQL Queries Improves Neural Semantic Parsing）</news:title>
   <news:publication_date>2026-06-05T08:50:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697235</loc>
  <lastmod>2026-06-05T08:49:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>地理情報を考慮するクロスモーダル検索の効率的手法（An Efficient Approach for Geo-Multimedia Cross-Modal Retrieval）</news:title>
   <news:publication_date>2026-06-05T08:49:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697233</loc>
  <lastmod>2026-06-05T08:49:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>増分学習を可能にするPerson Re-Identificationの単純かつ実用的アプローチ（Incremental Learning in Person Re-Identification）</news:title>
   <news:publication_date>2026-06-05T08:49:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697231</loc>
  <lastmod>2026-06-05T08:49:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無教師スピーカー適応のためのマルチモーダル音声合成アーキテクチャ（Multimodal speech synthesis architecture for unsupervised speaker adaptation）</news:title>
   <news:publication_date>2026-06-05T08:49:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697229</loc>
  <lastmod>2026-06-05T08:48:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>セマンティック領域表現とマッピング空間トポロジー制約による人物再識別（Person Re-Identification by Semantic Region Representation and Topology Constraint）</news:title>
   <news:publication_date>2026-06-05T08:48:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697227</loc>
  <lastmod>2026-06-05T07:57:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マグノン閉じ込めによる量子化された励起スペクトル（Quantized excitation spectra by magnon confinement in quasi-one-dimensional S=1 spin systems）</news:title>
   <news:publication_date>2026-06-05T07:57:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697225</loc>
  <lastmod>2026-06-05T07:57:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>長期縦断画像予測と欠損データへの対処（Predictive Image Regression for Longitudinal Studies with Missing Data）</news:title>
   <news:publication_date>2026-06-05T07:57:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697223</loc>
  <lastmod>2026-06-05T07:57:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>360度パノラマ映像への3D物体検出と単眼深度推定の適応（Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360◦Panoramic Imagery）</news:title>
   <news:publication_date>2026-06-05T07:57:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697221</loc>
  <lastmod>2026-06-05T07:56:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層マルチビュー共同クラスタリングの枠組み（Jointly Deep Multi-View Learning for Clustering Analysis）</news:title>
   <news:publication_date>2026-06-05T07:56:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697219</loc>
  <lastmod>2026-06-05T07:56:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顔の幾何歪みを局所ホモグラフィで補正する手法（GridFace: Face Rectification via Learning Local Homography Transformations）</news:title>
   <news:publication_date>2026-06-05T07:56:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697217</loc>
  <lastmod>2026-06-05T07:56:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声と口唇の動きの動的時間整合（Dynamic Temporal Alignment of Speech to Lips）</news:title>
   <news:publication_date>2026-06-05T07:56:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697215</loc>
  <lastmod>2026-06-05T07:55:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>XL-NBTによるクロスリンガル対話状態追跡（XL-NBT: A Cross-lingual Neural Belief Tracking Framework）</news:title>
   <news:publication_date>2026-06-05T07:55:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697213</loc>
  <lastmod>2026-06-05T07:04:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>転移潜在表現による教師なしドメイン適応（TLR: TRANSFER LATENT REPRESENTATION FOR UNSUPERVISED DOMAIN ADAPTATION）</news:title>
   <news:publication_date>2026-06-05T07:04:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697211</loc>
  <lastmod>2026-06-05T07:04:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非単調サブモジュラ最大化の低適応性・低クエリ複雑度手法（Non-monotone Submodular Maximization with Nearly Optimal Adaptivity and Query Complexity）</news:title>
   <news:publication_date>2026-06-05T07:04:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697209</loc>
  <lastmod>2026-06-05T07:04:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重なり合うコミュニティ検出のアンサンブル手法（Ensemble-based Overlapping Community Detection using Disjoint Community Structures）</news:title>
   <news:publication_date>2026-06-05T07:04:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697207</loc>
  <lastmod>2026-06-05T07:03:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フーリエ解析の視点から見る十分次元削減問題（Fourier analysis perspective for sufficient dimension reduction problem）</news:title>
   <news:publication_date>2026-06-05T07:03:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697205</loc>
  <lastmod>2026-06-05T07:03:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>位相図とk空間フィデリティの消失（Vanishing k-space fidelity and phase diagram’s bulk-edge-bulk correspondence）</news:title>
   <news:publication_date>2026-06-05T07:03:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697203</loc>
  <lastmod>2026-06-05T07:03:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高解像度画像における飛行機検出のための深層多重インスタンス学習（Deep Multiple Instance Learning for Airplane Detection in High Resolution Imagery）</news:title>
   <news:publication_date>2026-06-05T07:03:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/697201</loc>
  <lastmod>2026-06-05T07:02:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顕微鏡画像における核の分割手法（Segmentation of Microscopy Data for finding Nuclei in Divergent Images）</news:title>
   <news:publication_date>2026-06-05T07:02:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/697199</loc>
  <lastmod>2026-06-05T06:11:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リンク付きリカレントニューラルネットワークの要点（Linked Recurrent Neural Networks）</news:title>
   <news:publication_date>2026-06-05T06:11:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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  <loc>https://aibr.jp/archives/697197</loc>
  <lastmod>2026-06-05T06:00:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>言語間転移におけるソース重視強化学習（Source-Critical Reinforcement Learning for Transferring Spoken Language Understanding to a New Language）</news:title>
   <news:publication_date>2026-06-05T06:00:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/697195</loc>
  <lastmod>2026-06-05T06:00:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>KUG 0200-096 における潮汐矮小銀河の発見（KUG 0200-096: Dwarf antennae hosting a tidal dwarf galaxy）</news:title>
   <news:publication_date>2026-06-05T06:00:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/697193</loc>
  <lastmod>2026-06-05T05:59:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高マッハ数境界層におけるレイノルズ応力の予測（Prediction of Reynolds Stresses in High-Mach-Number Turbulent Boundary Layers using Physics-Informed Machine Learning）</news:title>
   <news:publication_date>2026-06-05T05:59:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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 <url>
  <loc>https://aibr.jp/archives/697191</loc>
  <lastmod>2026-06-05T05:59:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>水窓域における極高分解能広帯域フラットフィールド分光器の光学設計（Towards extremely high-resolution broad-band flat-field spectrometer in &amp;quot;water window&amp;quot;）</news:title>
   <news:publication_date>2026-06-05T05:59:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697189</loc>
  <lastmod>2026-06-05T05:59:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非連続血糖データの予測可能性と個別化レコメンデーションへの示唆（On the Predictability of non-CGM Diabetes Data for Personalized Recommendation）</news:title>
   <news:publication_date>2026-06-05T05:59:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697187</loc>
  <lastmod>2026-06-05T05:59:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>問題トークン質問の設計がQoE調査を変える（On Design of Problem Token Questions in Quality of Experience Surveys）</news:title>
   <news:publication_date>2026-06-05T05:59:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697185</loc>
  <lastmod>2026-06-05T05:08:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超音波画像からの胎児頭部計測の自動評価（Automatic evaluation of fetal head biometry from ultrasound images using machine learning）</news:title>
   <news:publication_date>2026-06-05T05:08:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697183</loc>
  <lastmod>2026-06-05T05:08:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一般化されたBregmanおよびJensen発散と一部のf-発散を包含する理論（GENERALIZED BREGMAN AND JENSEN DIVERGENCES WHICH INCLUDE SOME F-DIVERGENCES）</news:title>
   <news:publication_date>2026-06-05T05:08:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697181</loc>
  <lastmod>2026-06-05T05:07:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>VVVサーベイによる天の川人口統計学（Milky Way demographics with the VVV survey. IV. PSF photometry from almost one billion stars in the Galactic bulge and adjacent southern disk）</news:title>
   <news:publication_date>2026-06-05T05:07:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697179</loc>
  <lastmod>2026-06-05T05:07:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>冷却によって現れるポラロン的液体：相混合と超伝導性Ba1−xKxBiO3における疑似ギャップ様スペクトル（Cooling a polaronic liquid: Phase mixture and pseudogap-like spectra in superconducting Ba1−xKxBiO3）</news:title>
   <news:publication_date>2026-06-05T05:07:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697177</loc>
  <lastmod>2026-06-05T05:06:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物理教育におけるコンピュータシミュレーションの活用が知能発達に与える影響（Tools of computer simulation in learning physics）</news:title>
   <news:publication_date>2026-06-05T05:06:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697175</loc>
  <lastmod>2026-06-05T05:06:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一カラムネットワークによる群衆カウントの擁護（In Defense of Single-Column Networks for Crowd Counting）</news:title>
   <news:publication_date>2026-06-05T05:06:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697173</loc>
  <lastmod>2026-06-05T05:06:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習による伸縮性グラフェン切り紙の高速探索と設計（Accelerated search and design of stretchable graphene kirigami using machine learning）</news:title>
   <news:publication_date>2026-06-05T05:06:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697171</loc>
  <lastmod>2026-06-05T04:15:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>欠陥エンジニアリングによる二次元光導体のトラップ状態制御（Defect Engineering for Modulating the Trap States in Two-dimensional Photoconductor）</news:title>
   <news:publication_date>2026-06-05T04:15:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697169</loc>
  <lastmod>2026-06-05T04:15:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>間隔ラベルに対応する学習-to-rankの正確なPAアルゴリズム（Exact Passive-Aggressive Algorithms for Learning to Rank Using Interval Labels）</news:title>
   <news:publication_date>2026-06-05T04:15:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697167</loc>
  <lastmod>2026-06-05T04:14:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多次元グラフ畳み込みネットワーク（Multi-dimensional Graph Convolutional Networks）</news:title>
   <news:publication_date>2026-06-05T04:14:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697165</loc>
  <lastmod>2026-06-05T04:13:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワーク基盤のバイアス付き決定木アンサンブルによる薬物感受性予測（Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity）</news:title>
   <news:publication_date>2026-06-05T04:13:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697163</loc>
  <lastmod>2026-06-05T04:13:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>構成木上での合成学習をPOSタグで導く（Learning to Compose over Tree Structures via POS Tags）</news:title>
   <news:publication_date>2026-06-05T04:13:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697161</loc>
  <lastmod>2026-06-05T04:13:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>観測されないエッジからのコミュニティ検出（Community detection in networks without observing edges）</news:title>
   <news:publication_date>2026-06-05T04:13:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/697159</loc>
  <lastmod>2026-06-05T04:13:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>接線・法線に着目した半教師あり学習の正則化（Tangent-Normal Adversarial Regularization for Semi-supervised Learning）</news:title>
   <news:publication_date>2026-06-05T04:13:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
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