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   <news:title>ClassiNetによる短文分類のための欠落特徴予測（ClassiNet – Predicting Missing Features for Short-Text Classification）</news:title>
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   <news:title>報酬希薄な現実環境での人間-ロボット相互作用のための内発的動機付け強化学習（Intrinsically motivated reinforcement learning for human-robot interaction in the real-world）</news:title>
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   <news:title>多変量LSTMによる説明可能な時系列予測（AN INTERPRETABLE LSTM NEURAL NETWORK FOR AUTOREGRESSIVE EXOGENOUS MODEL）</news:title>
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   <news:title>確率的トピックモデルによる重複コアリション形成（Overlapping Coalition Formation via Probabilistic Topic Modeling）</news:title>
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    <news:language>ja</news:language>
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   <news:title>多項式関数の量子プロセッサ上での最適化（Optimizing a Polynomial Function on a Quantum Processor）</news:title>
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   <news:title>木の葉のように：XGBoostで銀河ハロー星を識別する手法（Leaves on trees: identifying halo stars with extreme gradient boosted trees）</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>地下で生成される宇宙生成中性子のエネルギースペクトル（On the Energy Spectrum of Cosmogenic Neutrons）</news:title>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>RBFカーネルの高速最適バンド幅選択（Fast Optimal Bandwidth Selection for RBF Kernel using Reproducing Kernel Hilbert Space Operators for Kernel Based Classifiers）</news:title>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>動きに基づく物体分割と密なRGB-Dシーンフロー（Motion-based Object Segmentation based on Dense RGB-D Scene Flow）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-26T02:15:58Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>難易度ランキングとマルチアームドバンディットで学習順序を最適化する（Combining Difficulty Ranking with Multi-Armed Bandits to Sequence Educational Content）</news:title>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>エンティティ固有の部分構造を抽出するRDFグラフ埋め込み（Not all Embeddings are created Equal: Extracting Entity-specific Substructures for RDF Graph Embedding）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>選択・注目・転送：軽量で学習可能なスキップ接続（Select, Attend, and Transfer: Light, Learnable Skip Connections）</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>モデルフリー情報抽出による非線形位相空間の強化（Model-Free Information Extraction in Enriched Nonlinear Phase-Space）</news:title>
   <news:publication_date>2026-04-26T02:14:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-26T02:14:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>ロボット把持のループを閉じる：リアルタイム生成型把持生成手法（Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach）</news:title>
   <news:publication_date>2026-04-26T02:14:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-26T01:22:37Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>MagNet防御の限界とL1ベース敵対的サンプルの脅威（On the Limitation of MagNet Defense against L1-based Adversarial Examples）</news:title>
   <news:publication_date>2026-04-26T01:22:37Z</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>全光学的機械学習：回折で学ぶニューラルネットワーク（All-Optical Machine Learning Using Diffractive Deep Neural Networks）</news:title>
   <news:publication_date>2026-04-26T01:22:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/683475</loc>
  <lastmod>2026-04-26T01:22:10Z</lastmod>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>遠距離スピーカーシステムを教師‑生徒学習で作る（DEVELOPING FAR-FIELD SPEAKER SYSTEM VIA TEACHER-STUDENT LEARNING）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-26T01:20:46Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>道路セグメンテーションにおけるCNNとGRUの統合（Road Segmentation Using CNN with GRU）</news:title>
   <news:publication_date>2026-04-26T01:20:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-26T01:20:32Z</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>個別治療効果推定におけるモデル選択法の比較（A comparison of methods for model selection when estimating individual treatment effects）</news:title>
   <news:publication_date>2026-04-26T01:20:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-26T01:20:23Z</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>カーネル法のためのスペクトラム可視化コレスキー分解（Spectrum-Revealing Cholesky Factorization for Kernel Methods）</news:title>
   <news:publication_date>2026-04-26T01:20:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-26T01:20:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>エンコーディング層と損失関数が切り拓く音声識別の実務応用（Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System）</news:title>
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   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-26T00:28:08Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>マルチレベルな言語と視覚の統合によるテキスト→クリップ検索（Multilevel Language and Vision Integration for Text-to-Clip Retrieval）</news:title>
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   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/683463</loc>
  <lastmod>2026-04-26T00:22:02Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>局所的漸近自己相似過程のクラスタリング解析（Clustering Analysis on Locally Asymptotically Self-similar Processes with Known Number of Clusters）</news:title>
   <news:publication_date>2026-04-26T00:22:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/683461</loc>
  <lastmod>2026-04-26T00:21:28Z</lastmod>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>濃密な特徴融合で顕著物体検出を強化する（HyperFusion-Net: Densely Reflective Fusion for Salient Object Detection）</news:title>
   <news:publication_date>2026-04-26T00:21:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/683459</loc>
  <lastmod>2026-04-26T00:20:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Ekiden：機密性を保ちながら信頼性と高性能を実現するスマートコントラクト基盤（Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts）</news:title>
   <news:publication_date>2026-04-26T00:20:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-26T00:19:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>入力を二分割することで学習効率と堅牢性を両立させる手法（ROBUST DUAL VIEW DEEP AGENT）</news:title>
   <news:publication_date>2026-04-26T00:19:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-26T00:19:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多点時系列データの潜在ガウス混合モデルによるクラスタリング（A Latent Gaussian Mixture Model for Clustering Longitudinal Data）</news:title>
   <news:publication_date>2026-04-26T00:19:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/683453</loc>
  <lastmod>2026-04-26T00:18:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Lidar点群による3D車両検出における不確実性の可視化と安全性向上（Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection）</news:title>
   <news:publication_date>2026-04-26T00:18:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/683451</loc>
  <lastmod>2026-04-25T23:26:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不正なスマートグリッド機器の検出（Detection of Compromised Smart Grid Devices with Machine Learning and Convolution Techniques）</news:title>
   <news:publication_date>2026-04-25T23:26:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/683449</loc>
  <lastmod>2026-04-25T23:26:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>小型自律無人機における自己回転バイマイクロフォンでの多音源定位（Multi-Sound-Source Localization Using Machine Learning for Small Autonomous Unmanned Vehicles with a Self-Rotating Bi-Microphone Array）</news:title>
   <news:publication_date>2026-04-25T23:26:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/683447</loc>
  <lastmod>2026-04-25T23:25:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子アノマリーと2D–3Dクロスオーバーが示す新たな熱力学（Quantum anomaly and 2D-3D crossover in strongly interacting Fermi gases）</news:title>
   <news:publication_date>2026-04-25T23:25:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/683445</loc>
  <lastmod>2026-04-25T23:24:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>ヘテロジニアス多層一般化操作パーセプトロン（Heterogeneous Multilayer Generalized Operational Perceptron）</news:title>
   <news:publication_date>2026-04-25T23:24:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/683443</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>内部・表層プロセスから見た系外惑星科学の優先課題（Exoplanet Science Priorities from the Perspective of Internal and Surface Processes for Silicate and Ice Dominated Worlds）</news:title>
   <news:publication_date>2026-04-25T23:24:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-25T23:24:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>O-HAZE: 実画像に基づく屋外デヘイジング評価基盤（O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor images）</news:title>
   <news:publication_date>2026-04-25T23:24:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/683439</loc>
  <lastmod>2026-04-25T23:23:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散に基づく感度解析による堅牢な特徴選択法（A new robust feature selection method using variance-based sensitivity analysis）</news:title>
   <news:publication_date>2026-04-25T23:23:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683437</loc>
  <lastmod>2026-04-25T22:32:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>正則化された特異値分解と推薦システムへの応用（Regularized Singular Value Decomposition and Application to Recommender System）</news:title>
   <news:publication_date>2026-04-25T22:32:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683435</loc>
  <lastmod>2026-04-25T22:32:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>広帯域吸収線クエーサーにおける本質的X線弱性の頻度（The Frequency of Intrinsic X-ray Weakness among Broad Absorption Line Quasars）</news:title>
   <news:publication_date>2026-04-25T22:32:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683433</loc>
  <lastmod>2026-04-25T22:32:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ユーザー推薦システムにおける学習促進のためのインセンティブ設計（Incentive design for learning in user-recommendation systems with time-varying states）</news:title>
   <news:publication_date>2026-04-25T22:32:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683431</loc>
  <lastmod>2026-04-25T22:30:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なしSparse Dirichlet-Netによるハイパースペクトル画像超解像（Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution）</news:title>
   <news:publication_date>2026-04-25T22:30:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683429</loc>
  <lastmod>2026-04-25T22:30:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>周期駆動二重井戸から火山型ポテンシャルへ：量子ダイナミクス (From periodically driven double wells to volcano potentials: Quantum dynamics)</news:title>
   <news:publication_date>2026-04-25T22:30:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683427</loc>
  <lastmod>2026-04-25T22:30:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>悪性ウェブコンテンツ検出における高速かつフォーマット非依存の深層学習手法（A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content）</news:title>
   <news:publication_date>2026-04-25T22:30:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683425</loc>
  <lastmod>2026-04-25T22:30:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>天文学における機械学習：準星‑恒星分類の事例研究（Machine Learning in Astronomy: A Case Study in Quasar‑Star Classification）</news:title>
   <news:publication_date>2026-04-25T22:30:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683423</loc>
  <lastmod>2026-04-25T21:38:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>比較詞・量詞・比率を同時に学ぶマルチタスクモデル（Comparatives, Quantifiers, Proportions: A Multi-Task Model for the Learning of Quantities from Vision）</news:title>
   <news:publication_date>2026-04-25T21:38:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683421</loc>
  <lastmod>2026-04-25T21:38:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中国語臨床固有表現抽出に辞書を組み込む手法 (Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition)</news:title>
   <news:publication_date>2026-04-25T21:38:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683419</loc>
  <lastmod>2026-04-25T21:37:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>近似恒等写像としての関数分解が示す深層学習の最適化可能性（Representing smooth functions as compositions of near-identity functions）</news:title>
   <news:publication_date>2026-04-25T21:37:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683417</loc>
  <lastmod>2026-04-25T21:36:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時間遅延ディープニューラルネットワークによる言語認識（Language Recognition using Time Delay Deep Neural Network）</news:title>
   <news:publication_date>2026-04-25T21:36:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683415</loc>
  <lastmod>2026-04-25T21:36:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DUNEの現状と展望（DUNE: Status and Perspectives）</news:title>
   <news:publication_date>2026-04-25T21:36:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683413</loc>
  <lastmod>2026-04-25T21:36:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロスター評価に機械学習を使う意義（Roster Evaluation Based on Classifiers for the Nurse Rostering Problem）</news:title>
   <news:publication_date>2026-04-25T21:36:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683411</loc>
  <lastmod>2026-04-25T21:35:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンライン転倒検知におけるRNN活用の実践（Online Fall Detection using Recurrent Neural Networks）</news:title>
   <news:publication_date>2026-04-25T21:35:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683409</loc>
  <lastmod>2026-04-25T20:44:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラプラシアンピラミッドを用いた低サンプリング比での高速CS再構成（AN EFFICIENT DEEP CONVOLUTIONAL LAPLACIAN PYRAMID ARCHITECTURE FOR CS RECONSTRUCTION AT LOW SAMPLING RATIOS）</news:title>
   <news:publication_date>2026-04-25T20:44:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683407</loc>
  <lastmod>2026-04-25T20:44:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散協調ハッシュ法と実運用への示唆（Distributed Collaborative Hashing and Its Applications in Ant Financial）</news:title>
   <news:publication_date>2026-04-25T20:44:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683405</loc>
  <lastmod>2026-04-25T20:43:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>回帰木を用いた勾配ブースティングによる追従モデルの再考（Gradient Boosting of Regression Trees for Car-Following Models）</news:title>
   <news:publication_date>2026-04-25T20:43:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683403</loc>
  <lastmod>2026-04-25T20:43:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習とランダムフーリエ特徴量を融合したスケーラブルで解釈可能なワン・クラスSVM（Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier Features）</news:title>
   <news:publication_date>2026-04-25T20:43:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683401</loc>
  <lastmod>2026-04-25T20:42:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単純確率ゲームに対する価値反復の停止基準と学習アルゴリズム（Value Iteration for Simple Stochastic Games: Stopping Criterion and Learning Algorithm）</news:title>
   <news:publication_date>2026-04-25T20:42:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683399</loc>
  <lastmod>2026-04-25T20:42:27Z</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>2026-04-25T20:42:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683397</loc>
  <lastmod>2026-04-25T20:42:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分割ベースの系列推定器の大標本特性 (LARGE SAMPLE PROPERTIES OF PARTITIONING-BASED SERIES ESTIMATORS)</news:title>
   <news:publication_date>2026-04-25T20:42:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683395</loc>
  <lastmod>2026-04-25T19:50:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>事前学習済みネットワークの知見を活用する弱教師ありセマンティックセグメンテーション（Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation）</news:title>
   <news:publication_date>2026-04-25T19:50:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683393</loc>
  <lastmod>2026-04-25T19:50:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>安定な模倣学習のための収縮ベクトル場の学習（Learning Contracting Vector Fields for Stable Imitation Learning）</news:title>
   <news:publication_date>2026-04-25T19:50:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683391</loc>
  <lastmod>2026-04-25T19:50:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グループ異常検知と深層生成モデル（Group Anomaly Detection using Deep Generative Models）</news:title>
   <news:publication_date>2026-04-25T19:50:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683389</loc>
  <lastmod>2026-04-25T19:48:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声の音素情報を取り入れた話者埋め込み抽出（Speaker Embedding Extraction with Phonetic Information）</news:title>
   <news:publication_date>2026-04-25T19:48:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683387</loc>
  <lastmod>2026-04-25T19:48:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無限次元適応MCMCによるガウス過程のサンプリング（Infinite dimensional adaptive MCMC for Gaussian processes）</news:title>
   <news:publication_date>2026-04-25T19:48:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683385</loc>
  <lastmod>2026-04-25T19:48:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模グラフ上での非パラメトリックベイズによるラベル予測（Nonparametric Bayesian label prediction on a large graph using truncated Laplacian regularization）</news:title>
   <news:publication_date>2026-04-25T19:48:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683383</loc>
  <lastmod>2026-04-25T19:48:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>忘却ゲートの不合理な有効性（THE UNREASONABLE EFFECTIVENESS OF THE FORGET GATE）</news:title>
   <news:publication_date>2026-04-25T19:48:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683381</loc>
  <lastmod>2026-04-25T18:56:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヒンジ損失を用いたロバストな1ビット圧縮センシング（Robust 1-Bit Compressed Sensing via Hinge Loss Minimization）</news:title>
   <news:publication_date>2026-04-25T18:56:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683379</loc>
  <lastmod>2026-04-25T18:56:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顔復元におけるWarped Guidanceの学習（Learning Warped Guidance for Blind Face Restoration）</news:title>
   <news:publication_date>2026-04-25T18:56:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683377</loc>
  <lastmod>2026-04-25T18:55:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習を用いた大規模MIMO屋内ユーザ位置推定（On Deep Learning-based Massive MIMO Indoor User Localization）</news:title>
   <news:publication_date>2026-04-25T18:55:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683375</loc>
  <lastmod>2026-04-25T18:54:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>µ-cuDNNによるマイクロバッチでの高速化（µ-cuDNN: Accelerating Deep Learning Frameworks with Micro-Batching）</news:title>
   <news:publication_date>2026-04-25T18:54:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683373</loc>
  <lastmod>2026-04-25T18:54:31Z</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>2026-04-25T18:54:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683371</loc>
  <lastmod>2026-04-25T18:54:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層スケッチ抽象化の学習 (Learning Deep Sketch Abstraction)</news:title>
   <news:publication_date>2026-04-25T18:54:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/683369</loc>
  <lastmod>2026-04-25T18:53:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学生プログラムの効率的テストのためのアクティブラーニング（Active Learning for Efficient Testing of Student Programs）</news:title>
   <news:publication_date>2026-04-25T18:53:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/683367</loc>
  <lastmod>2026-04-25T18:02:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Motion Boundary Detection（Deep Motion Boundary Detection）</news:title>
   <news:publication_date>2026-04-25T18:02:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683365</loc>
  <lastmod>2026-04-25T18:02:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パラメータフリーな外れ値検出によるロバストPCA（Fast, Parameter free Outlier Identification for Robust PCA）</news:title>
   <news:publication_date>2026-04-25T18:02:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683363</loc>
  <lastmod>2026-04-25T18:01:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>FishEyeRecNetによる単眼フィッシュアイ画像の補正（FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification）</news:title>
   <news:publication_date>2026-04-25T18:01:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683361</loc>
  <lastmod>2026-04-25T18:01:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>セキュリティフォーラムからの悪意あるIP抽出手法（RIPEx: Extracting malicious IP addresses from security forums using cross-forum learning）</news:title>
   <news:publication_date>2026-04-25T18:01:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683359</loc>
  <lastmod>2026-04-25T18:01:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グリッドベースの敵対的クラスタリングアルゴリズム（A Grid Based Adversarial Clustering Algorithm）</news:title>
   <news:publication_date>2026-04-25T18:01:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683357</loc>
  <lastmod>2026-04-25T18:00:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>関数を丸ごと一つのノードで扱う分布回帰（A Compact Network Learning Model for Distribution Regression）</news:title>
   <news:publication_date>2026-04-25T18:00:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683355</loc>
  <lastmod>2026-04-25T18:00:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層化ニューラルネットワークにおけるコミュニティ構造の理解 (Understanding Community Structure in Layered Neural Networks)</news:title>
   <news:publication_date>2026-04-25T18:00:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683353</loc>
  <lastmod>2026-04-25T17:09:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>TDRに機械学習で切り込む―K-meansによるピーリングと損失モデリング（Machine Learning Peeling and Loss Modeling of Time-Domain Reflectometry）</news:title>
   <news:publication_date>2026-04-25T17:09:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683351</loc>
  <lastmod>2026-04-25T17:08:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模配車を学習で解くMOVI（MOVI: A Model-Free Approach to Dynamic Fleet Management）</news:title>
   <news:publication_date>2026-04-25T17:08:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683349</loc>
  <lastmod>2026-04-25T17:06:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散配電網におけるトポロジーと注入統計の同時推定（Joint Estimation of Topology &amp;amp; Injection Statistics in Distribution Grids with Missing Nodes）</news:title>
   <news:publication_date>2026-04-25T17:06:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683347</loc>
  <lastmod>2026-04-25T17:06:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多モーダルな教師なし画像変換の解き方（Multimodal Unsupervised Image-to-Image Translation）</news:title>
   <news:publication_date>2026-04-25T17:06:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683345</loc>
  <lastmod>2026-04-25T17:06:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像魅力ランキングの普遍的フレームワーク（An Universal Image Attractiveness Ranking Framework）</news:title>
   <news:publication_date>2026-04-25T17:06:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683343</loc>
  <lastmod>2026-04-25T17:06:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PaaSの多視点セキュリティモデル（MPSM: Multi-prospective PaaS Security Model）</news:title>
   <news:publication_date>2026-04-25T17:06:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683341</loc>
  <lastmod>2026-04-25T17:05:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワークに基づくタンパク質構造分類（Network-based protein structural classification）</news:title>
   <news:publication_date>2026-04-25T17:05:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683339</loc>
  <lastmod>2026-04-25T16:13:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドメイン適応辞書学習によるクロスドメイン視覚認識（Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning）</news:title>
   <news:publication_date>2026-04-25T16:13:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683337</loc>
  <lastmod>2026-04-25T16:06:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>弱ラベル音声からの時間周波数セグメンテーションと音響イベント検出（Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data）</news:title>
   <news:publication_date>2026-04-25T16:06:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683335</loc>
  <lastmod>2026-04-25T16:06:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>条件付き外観・形状生成のための変分U-Net（A Variational U-Net for Conditional Appearance and Shape Generation）</news:title>
   <news:publication_date>2026-04-25T16:06:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683333</loc>
  <lastmod>2026-04-25T16:06:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テンセグリティ移動のための効率的なモデル同定（Efficient Model Identification for Tensegrity Locomotion）</news:title>
   <news:publication_date>2026-04-25T16:06:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683331</loc>
  <lastmod>2026-04-25T16:04:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RGB画像からのスペクトル再構築のための効率的なCNN（AN EFFICIENT CNN FOR SPECTRAL RECONSTRUCTION FROM RGB IMAGES）</news:title>
   <news:publication_date>2026-04-25T16:04:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683329</loc>
  <lastmod>2026-04-25T16:03:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模データ処理に効く高速カウント法（Fast Counting in Machine Learning Applications）</news:title>
   <news:publication_date>2026-04-25T16:03:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683327</loc>
  <lastmod>2026-04-25T16:03:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>無機固体電解質の機械学習スクリーニングによるリチウム金属電極の樹状突起抑制（Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode）</news:title>
   <news:publication_date>2026-04-25T16:03:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683325</loc>
  <lastmod>2026-04-25T15:12:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>EMBERによる静的PEマルウェア検出のための公開データセット（EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models）</news:title>
   <news:publication_date>2026-04-25T15:12:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683323</loc>
  <lastmod>2026-04-25T15:11:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>半構造化ウェブからの遠隔監督による関係抽出CERES（CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web）</news:title>
   <news:publication_date>2026-04-25T15:11:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683321</loc>
  <lastmod>2026-04-25T15:10:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カーネル偏差量による因果推論（Causal Inference via Kernel Deviance Measures）</news:title>
   <news:publication_date>2026-04-25T15:10:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683319</loc>
  <lastmod>2026-04-25T15:10:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダム環状グラフの連結性と幾何学的ブロックモデル（Connectivity in Random Annulus Graphs and the Geometric Block Model）</news:title>
   <news:publication_date>2026-04-25T15:10:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683317</loc>
  <lastmod>2026-04-25T15:10:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>衝撃ノイズに強いスパース復元法：連続混合ノルムの提案（Impulsive Noise Robust Sparse Recovery via Continuous Mixed Norm）</news:title>
   <news:publication_date>2026-04-25T15:10:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683315</loc>
  <lastmod>2026-04-25T15:10:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Pix3D：単一画像からの3次元形状推定のためのデータセットと手法（Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling）</news:title>
   <news:publication_date>2026-04-25T15:10:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683313</loc>
  <lastmod>2026-04-25T15:09:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>変形に着目した画像圧縮（Deformation Aware Image Compression）</news:title>
   <news:publication_date>2026-04-25T15:09:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683311</loc>
  <lastmod>2026-04-25T14:18:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>逆線形最適化におけるアンサンブル学習フレームワーク（An Ensemble Learning Framework for Model Fitting and Evaluation in Inverse Linear Optimization）</news:title>
   <news:publication_date>2026-04-25T14:18:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683309</loc>
  <lastmod>2026-04-25T14:18:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特徴ベース集約と深層強化学習の接点（Feature-Based Aggregation and Deep Reinforcement Learning）</news:title>
   <news:publication_date>2026-04-25T14:18:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683307</loc>
  <lastmod>2026-04-25T14:17:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なしロボット仕分け：自律的意思決定ロボットに向けて (Unsupervised robotic sorting: Towards autonomous decision making robots)</news:title>
   <news:publication_date>2026-04-25T14:17:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683305</loc>
  <lastmod>2026-04-25T14:16:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>潜在幾何に着想を得たグラフ不相似度がAffinity Propagationのコミュニティ検出を強化する（Latent Geometry Inspired Graph Dissimilarities Enhance Affinity Propagation Community Detection in Complex Networks）</news:title>
   <news:publication_date>2026-04-25T14:16:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683303</loc>
  <lastmod>2026-04-25T14:16:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンライン凸最適化とノーリグレット学習の実務的意義（ONLINE CONVEX OPTIMIZATION AND NO-REGRET LEARNING）</news:title>
   <news:publication_date>2026-04-25T14:16:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683301</loc>
  <lastmod>2026-04-25T14:16:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>TRAJECTORY FACTORY：深層Siamese Bi-GRUによるトラックレットの切断と再接続（TRAJECTORY FACTORY: TRACKLET CLEAVING AND RE-CONNECTION BY DEEP SIAMESE BI-GRU FOR MULTIPLE OBJECT TRACKING）</news:title>
   <news:publication_date>2026-04-25T14:16:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683299</loc>
  <lastmod>2026-04-25T14:15:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>畳み込みニューラルネットワークに空間情報を組み込む試み（TOWARDS INTEGRATING SPATIAL LOCALIZATION IN CONVOLUTIONAL NEURAL NETWORKS FOR BRAIN IMAGE SEGMENTATION）</news:title>
   <news:publication_date>2026-04-25T14:15:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683297</loc>
  <lastmod>2026-04-25T13:24:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>同時忠実度と正則化学習による画像復元 (Simultaneous Fidelity and Regularization Learning for Image Restoration)</news:title>
   <news:publication_date>2026-04-25T13:24:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683295</loc>
  <lastmod>2026-04-25T13:23:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知の相互結合を考慮したMIMOレーダにおけるオフグリッドDOA推定（Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling）</news:title>
   <news:publication_date>2026-04-25T13:23:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683293</loc>
  <lastmod>2026-04-25T13:23:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>脳MR画像における深層自己符号化モデルによる教師なし異常領域分割 (Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images)</news:title>
   <news:publication_date>2026-04-25T13:23:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683291</loc>
  <lastmod>2026-04-25T13:22:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>In2O3(001)単結晶のバルクと表面特性の総合解析（Bulk and surface characterization of In2O3(001) single crystals）</news:title>
   <news:publication_date>2026-04-25T13:22:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683289</loc>
  <lastmod>2026-04-25T13:22:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所ネットワークコミュニティ検出の生成モデル（Generative models for local network community detection）</news:title>
   <news:publication_date>2026-04-25T13:22:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683287</loc>
  <lastmod>2026-04-25T13:21:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>レーザーベース光電子分光の新展開と応用（New Developments in Laser-Based Photoemission Spectroscopy）</news:title>
   <news:publication_date>2026-04-25T13:21:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683285</loc>
  <lastmod>2026-04-25T13:20:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トピック整列コーパスを用いた多言語埋め込みによるクロスリンガル検索（Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora）</news:title>
   <news:publication_date>2026-04-25T13:20:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683283</loc>
  <lastmod>2026-04-25T12:30:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D回転に不変・等変なニューラルネットの設計（CubeNet: Equivariance to 3D Rotation and Translation）</news:title>
   <news:publication_date>2026-04-25T12:30:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683281</loc>
  <lastmod>2026-04-25T12:29:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Distort-and-Recoverによる自動色補正（Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning）</news:title>
   <news:publication_date>2026-04-25T12:29:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683279</loc>
  <lastmod>2026-04-25T12:29:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D G-CNNによる肺結節検出の効率化（3D G-CNNs for Pulmonary Nodule Detection）</news:title>
   <news:publication_date>2026-04-25T12:29:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683277</loc>
  <lastmod>2026-04-25T12:28:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラス予測不確実性の敵対的整合によるドメイン適応（Adversarial Alignment of Class Prediction Uncertainties for Domain Adaptation）</news:title>
   <news:publication_date>2026-04-25T12:28:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683275</loc>
  <lastmod>2026-04-25T12:28:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>プーリングは必須ではない：CNNの変形安定性を問い直す（Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs）</news:title>
   <news:publication_date>2026-04-25T12:28:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683273</loc>
  <lastmod>2026-04-25T12:28:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>運動場予測による時間的補間（Temporal Interpolation via Motion Field Prediction）</news:title>
   <news:publication_date>2026-04-25T12:28:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683271</loc>
  <lastmod>2026-04-25T12:28:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>気管支ツリー抽出におけるグラフニューラルネットワークの応用（Extraction of Airways using Graph Neural Networks）</news:title>
   <news:publication_date>2026-04-25T12:28:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683269</loc>
  <lastmod>2026-04-25T11:37:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>変分合成オートエンコーダ（Variational Composite Autoencoders）</news:title>
   <news:publication_date>2026-04-25T11:37:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683267</loc>
  <lastmod>2026-04-25T11:37:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>四面体性が導く水のような異常（Water-like anomalies as a function of tetrahedrality）</news:title>
   <news:publication_date>2026-04-25T11:37:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683265</loc>
  <lastmod>2026-04-25T11:36:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>正則化を組み込んだ貪欲列選択法（Regularized Greedy Column Subset Selection）</news:title>
   <news:publication_date>2026-04-25T11:36:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683263</loc>
  <lastmod>2026-04-25T11:36:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>類似度学習とポストランキングを組み合わせた個人再識別の進展（Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification）</news:title>
   <news:publication_date>2026-04-25T11:36:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683261</loc>
  <lastmod>2026-04-25T11:35:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>検索評価の最適化に強化学習を使う（Optimizing Query Evaluations Using Reinforcement Learning for Web Search）</news:title>
   <news:publication_date>2026-04-25T11:35:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683259</loc>
  <lastmod>2026-04-25T11:35:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師なしで発見する物体ランドマークと構造表現（Unsupervised Discovery of Object Landmarks as Structural Representations）</news:title>
   <news:publication_date>2026-04-25T11:35:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683257</loc>
  <lastmod>2026-04-25T11:35:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ポテンシャルゲームにおける確率的学習：通信と利得ベースの手法（Stochastic Learning in Potential Games: Communication and Payoff-Based Approaches）</news:title>
   <news:publication_date>2026-04-25T11:35:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683255</loc>
  <lastmod>2026-04-25T10:44:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模SNS画像の再タグ付けを高速化するSUGAR-TC（Social Anchor-Unit Graph Regularized Tensor Completion）</news:title>
   <news:publication_date>2026-04-25T10:44:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683253</loc>
  <lastmod>2026-04-25T10:43:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチラベル無線干渉識別を実現するCNN（Multi-Label Wireless Interference Identification with Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-04-25T10:43:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683251</loc>
  <lastmod>2026-04-25T10:42:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モード崩壊を解決するマニフォールド誘導型GAN（MGGAN: Manifold Guided Generative Adversarial Network）</news:title>
   <news:publication_date>2026-04-25T10:42:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683249</loc>
  <lastmod>2026-04-25T10:41:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>血管形状の合成とGANの応用（Blood Vessel Geometry Synthesis using Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-04-25T10:41:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683247</loc>
  <lastmod>2026-04-25T10:41:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深度双方向HDR変換による画像補正（Image Correction via Deep Reciprocating HDR Transformation）</news:title>
   <news:publication_date>2026-04-25T10:41:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683245</loc>
  <lastmod>2026-04-25T10:40:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GRUとCNN注意機構によるツイート感情解析の実装と成果（Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification）</news:title>
   <news:publication_date>2026-04-25T10:40:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683243</loc>
  <lastmod>2026-04-25T10:39:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非線形常微分方程式系のパラメータ同定を高速化するGPベースの勾配マッチング（Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs）</news:title>
   <news:publication_date>2026-04-25T10:39:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683241</loc>
  <lastmod>2026-04-25T09:48:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声信号の全体SNR推定におけるエントロピーとドロップアウト不確実性の活用（GLOBAL SNR ESTIMATION OF SPEECH SIGNALS USING ENTROPY AND UNCERTAINTY ESTIMATES FROM DROPOUT NETWORKS）</news:title>
   <news:publication_date>2026-04-25T09:48:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683239</loc>
  <lastmod>2026-04-25T09:47:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>入力に対するリプシッツ連続性の強制によるニューラルネット規則化（Regularisation of Neural Networks by Enforcing Lipschitz Continuity）</news:title>
   <news:publication_date>2026-04-25T09:47:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683237</loc>
  <lastmod>2026-04-25T09:47:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>全解説：フル解像度3Dボリュームに対する二段階3D U-Netフレームワーク（A two-stage 3D Unet framework for multi-class segmentation on full resolution image）</news:title>
   <news:publication_date>2026-04-25T09:47:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683235</loc>
  <lastmod>2026-04-25T09:47:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アドバーサリアル学習で変わる視覚トラッキング（VITAL: VIsual Tracking via Adversarial Learning）</news:title>
   <news:publication_date>2026-04-25T09:47:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683233</loc>
  <lastmod>2026-04-25T09:47:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ゼロショット物体検出の実務的意義（Zero-Shot Object Detection）</news:title>
   <news:publication_date>2026-04-25T09:47:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683231</loc>
  <lastmod>2026-04-25T09:46:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>偏微分方程式に触発された深層ニューラルネットワーク（Deep Neural Networks Motivated by Partial Differential Equations）</news:title>
   <news:publication_date>2026-04-25T09:46:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683229</loc>
  <lastmod>2026-04-25T09:46:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>皮膚病変の高解像度合成（MelanoGANs: High Resolution Skin Lesion Synthesis with GANs）</news:title>
   <news:publication_date>2026-04-25T09:46:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683227</loc>
  <lastmod>2026-04-25T08:55:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オープンドメイン質問応答のためのランキング関数の学習 (Training a Ranking Function for Open-Domain Question Answering)</news:title>
   <news:publication_date>2026-04-25T08:55:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683225</loc>
  <lastmod>2026-04-25T08:55:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声変換チャレンジ2018の意義（The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods）</news:title>
   <news:publication_date>2026-04-25T08:55:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683223</loc>
  <lastmod>2026-04-25T08:54:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepFM：CTR予測のためのエンドツーエンド広深学習フレームワーク（DeepFM: An End-to-End Wide &amp;amp; Deep Learning Framework for CTR Prediction）</news:title>
   <news:publication_date>2026-04-25T08:54:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683221</loc>
  <lastmod>2026-04-25T08:53:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>物体セグメンテーションのためのカプセル（Capsules for Object Segmentation）</news:title>
   <news:publication_date>2026-04-25T08:53:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683219</loc>
  <lastmod>2026-04-25T08:53:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的シーンにおける剛性学習による3D運動場推定（Learning Rigidity in Dynamic Scenes for 3D Motion Field Estimation）</news:title>
   <news:publication_date>2026-04-25T08:53:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683217</loc>
  <lastmod>2026-04-25T08:52:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>臨床略語展開のためのタスク指向リソースを活用した単語埋め込み学習（Exploiting Task-Oriented Resources to Learn Word Embeddings for Clinical Abbreviation Expansion）</news:title>
   <news:publication_date>2026-04-25T08:52:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683215</loc>
  <lastmod>2026-04-25T08:52:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Adafactorによる省メモリ適応学習率法（Adafactor: Adaptive Learning Rates with Sublinear Memory Cost）</news:title>
   <news:publication_date>2026-04-25T08:52:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683213</loc>
  <lastmod>2026-04-25T08:00:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>球面キャップの静的二安定性（Static bistability of spherical caps）</news:title>
   <news:publication_date>2026-04-25T08:00:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683211</loc>
  <lastmod>2026-04-25T07:58:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Word2vecを推薦に適用する際のハイパーパラメータの重要性（Word2vec applied to Recommendation: Hyperparameters Matter）</news:title>
   <news:publication_date>2026-04-25T07:58:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683209</loc>
  <lastmod>2026-04-25T07:51:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一画像からの人体の視点合成（View Extrapolation of Human Body from a Single Image）</news:title>
   <news:publication_date>2026-04-25T07:51:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683207</loc>
  <lastmod>2026-04-25T07:50:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>強化学習によるマーケットメイキング（Market Making via Reinforcement Learning）</news:title>
   <news:publication_date>2026-04-25T07:50:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683205</loc>
  <lastmod>2026-04-25T07:49:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビッグデータ駆動の車両ネットワーク（Big Data Driven Vehicular Networks）</news:title>
   <news:publication_date>2026-04-25T07:49:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683203</loc>
  <lastmod>2026-04-25T07:49:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意味的局所性を用いたトピック学習（Learning Topics using Semantic Locality）</news:title>
   <news:publication_date>2026-04-25T07:49:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683201</loc>
  <lastmod>2026-04-25T07:48:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>網膜血管セグメンテーションのためのマルチスケールニューラルネットワーク（Multi-scale Neural Networks for Retinal Blood Vessels Segmentation）</news:title>
   <news:publication_date>2026-04-25T07:48:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683199</loc>
  <lastmod>2026-04-25T06:56:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層微分再帰ニューラルネットワーク（Deep Differential Recurrent Neural Networks）</news:title>
   <news:publication_date>2026-04-25T06:56:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683197</loc>
  <lastmod>2026-04-25T06:56:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルによる共進化的個体群モデル（Coevolutionary Neural Population Models）</news:title>
   <news:publication_date>2026-04-25T06:56:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683195</loc>
  <lastmod>2026-04-25T06:56:20Z</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から人間の特性と行動を推定する手法（Automatically Infer Human Traits and Behavior from Social Media Data）</news:title>
   <news:publication_date>2026-04-25T06:56:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683193</loc>
  <lastmod>2026-04-25T06:55:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ConvNetが想定外の入力で動作しているかを軽量に検出する手法（A Light-Weight Test if a ConvNet Operates Outside of Its Specifications）</news:title>
   <news:publication_date>2026-04-25T06:55:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683191</loc>
  <lastmod>2026-04-25T06:55:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>消費者向けIoT機器のDDoS検出のための機械学習（Machine Learning DDoS Detection for Consumer Internet of Things Devices）</news:title>
   <news:publication_date>2026-04-25T06:55:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683189</loc>
  <lastmod>2026-04-25T06:55:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子回路ボーンマシンの微分可能学習（Differentiable Learning of Quantum Circuit Born Machine）</news:title>
   <news:publication_date>2026-04-25T06:55:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683187</loc>
  <lastmod>2026-04-25T06:55:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>悪意のあるPowerShellコマンド検出（Detecting Malicious PowerShell Commands using Deep Neural Networks）</news:title>
   <news:publication_date>2026-04-25T06:55:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683185</loc>
  <lastmod>2026-04-25T06:03:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>UAVの姿勢制御における強化学習の可能性（Reinforcement Learning for UAV Attitude Control）</news:title>
   <news:publication_date>2026-04-25T06:03:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683183</loc>
  <lastmod>2026-04-25T06:03:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>映像で声を分離する技術の最前線（The Conversation: Deep Audio-Visual Speech Enhancement）</news:title>
   <news:publication_date>2026-04-25T06:03:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683181</loc>
  <lastmod>2026-04-25T06:02:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習による抽象化でプログラム合成を速くする（Learning Abstractions for Program Synthesis）</news:title>
   <news:publication_date>2026-04-25T06:02:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683179</loc>
  <lastmod>2026-04-25T06:02:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>光ファイバー通信のエンドツーエンド深層学習（End-to-end Deep Learning of Optical Fiber Communications）</news:title>
   <news:publication_date>2026-04-25T06:02:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683177</loc>
  <lastmod>2026-04-25T06:01:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビームフォーミング指紋学習による精密ミリ波位置推定（Beamformed Fingerprint Learning for Accurate Millimeter Wave Positioning）</news:title>
   <news:publication_date>2026-04-25T06:01:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683175</loc>
  <lastmod>2026-04-25T06:01:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個別化された動的モデルによる支援型ナビゲーションの適応（Personalized Dynamics Models for Adaptive Assistive Navigation Systems）</news:title>
   <news:publication_date>2026-04-25T06:01:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683173</loc>
  <lastmod>2026-04-25T06:00:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Twitterのネットワークと言語から利用者の職業・収入を推定する手法（Predicting Twitter User Socioeconomic Attributes with Network and Language Information）</news:title>
   <news:publication_date>2026-04-25T06:00:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683171</loc>
  <lastmod>2026-04-25T05:09:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>主観的な意味属性を制御するランキングCGAN（Ranking CGANs: Subjective Control over Semantic Image Attributes）</news:title>
   <news:publication_date>2026-04-25T05:09:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683169</loc>
  <lastmod>2026-04-25T05:02:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低リソース環境における議論抽出のマルチタスク学習（Multi-Task Learning for Argumentation Mining in Low-Resource Settings）</news:title>
   <news:publication_date>2026-04-25T05:02:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683167</loc>
  <lastmod>2026-04-25T05:00:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文体適応のためのShared-Privateエンコーダ・デコーダ（SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation）</news:title>
   <news:publication_date>2026-04-25T05:00:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683165</loc>
  <lastmod>2026-04-25T04:58:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>塊状の凸形状に対するシード点検出法（Seed-Point Detection of Clumped Convex Objects by Short-Range Attractive Long-Range Repulsive Particle Clustering）</news:title>
   <news:publication_date>2026-04-25T04:58:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683163</loc>
  <lastmod>2026-04-25T04:58:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>詳細保持プーリング（Detail-Preserving Pooling in Deep Networks）</news:title>
   <news:publication_date>2026-04-25T04:58:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683161</loc>
  <lastmod>2026-04-25T04:58:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一の動きぼけ画像から動画列を抽出する技術（Learning to Extract a Video Sequence from a Single Motion-Blurred Image）</news:title>
   <news:publication_date>2026-04-25T04:58:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683159</loc>
  <lastmod>2026-04-25T04:58:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コスト認識型学習による機会的スペクトラム利用の最適化（Cost-Aware Learning and Optimization for Opportunistic Spectrum Access）</news:title>
   <news:publication_date>2026-04-25T04:58:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683157</loc>
  <lastmod>2026-04-25T04:06:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MMLSparkによる分散深層学習の実用化（Flexible and Scalable Deep Learning with MMLSpark）</news:title>
   <news:publication_date>2026-04-25T04:06:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683155</loc>
  <lastmod>2026-04-25T04:05:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DORAによる探索の指向化（DORA The Explorer: Directed Outreaching Reinforcement Action-Selection）</news:title>
   <news:publication_date>2026-04-25T04:05:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683153</loc>
  <lastmod>2026-04-25T04:05:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>柔らかく伸縮するセンサーアレイによる変形キャプチャ（Deformation Capture via Soft and Stretchable Sensor Arrays）</news:title>
   <news:publication_date>2026-04-25T04:05:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683151</loc>
  <lastmod>2026-04-25T04:05:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的マルチコンテキストによる高解像度リモートセンシング画像の分割（Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks）</news:title>
   <news:publication_date>2026-04-25T04:05:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683149</loc>
  <lastmod>2026-04-25T04:04:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速化に特化した深層学習ライブラリの設計と評価（DLL: A Blazing Fast Deep Neural Network Library）</news:title>
   <news:publication_date>2026-04-25T04:04:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683147</loc>
  <lastmod>2026-04-25T04:04:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>指示表現ゲームから生まれる言語的コミュニケーション（Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input）</news:title>
   <news:publication_date>2026-04-25T04:04:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683145</loc>
  <lastmod>2026-04-25T04:03:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Attention U-Net: 病変に注目する医用画像セグメンテーションの革新（Attention U-Net: Learning Where to Look for the Pancreas）</news:title>
   <news:publication_date>2026-04-25T04:03:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683143</loc>
  <lastmod>2026-04-25T03:11:51Z</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圧縮正則化判別分析（COMPRESSIVE REGULARIZED DISCRIMINANT ANALYSIS OF HIGH-DIMENSIONAL DATA WITH APPLICATIONS TO MICROARRAY STUDIES）</news:title>
   <news:publication_date>2026-04-25T03:11:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683141</loc>
  <lastmod>2026-04-25T03:11:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習型制御器を含む自律サイバーフィジカルシステムの安全性検証（Reasoning about Safety of Learning-Enabled Components in Autonomous Cyber-physical Systems）</news:title>
   <news:publication_date>2026-04-25T03:11:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683139</loc>
  <lastmod>2026-04-25T03:10:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>交渉ゲームにおける言語の自発的生成（EMERGENT COMMUNICATION THROUGH NEGOTIATION）</news:title>
   <news:publication_date>2026-04-25T03:10:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683137</loc>
  <lastmod>2026-04-25T03:09:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>部分的遮蔽に強い深層ヒートマップによる3D物体姿勢推定（Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation）</news:title>
   <news:publication_date>2026-04-25T03:09:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683135</loc>
  <lastmod>2026-04-25T03:09:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高次元数値積分における次元の呪い（THE CURSE OF DIMENSIONALITY FOR NUMERICAL INTEGRATION）</news:title>
   <news:publication_date>2026-04-25T03:09:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683133</loc>
  <lastmod>2026-04-25T03:09:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>識別学習に基づくスマートフォン屋内測位（Discriminative Learning-based Smartphone Indoor Localization）</news:title>
   <news:publication_date>2026-04-25T03:09:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683131</loc>
  <lastmod>2026-04-25T03:09:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>相互依存Gibbsサンプラーの提案（Interdependent Gibbs Samplers）</news:title>
   <news:publication_date>2026-04-25T03:09:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683129</loc>
  <lastmod>2026-04-25T02:16:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サリエンシーマップと領域提案の融合による教師なし物体局所化（Fusing Saliency Maps with Region Proposals for Unsupervised Object Localization）</news:title>
   <news:publication_date>2026-04-25T02:16:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683127</loc>
  <lastmod>2026-04-25T02:09:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的占有グリッドマップ列からのオフライン物体抽出（Offline Object Extraction from Dynamic Occupancy Grid Map Sequences）</news:title>
   <news:publication_date>2026-04-25T02:09:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683125</loc>
  <lastmod>2026-04-25T02:08:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>VR-IQA NETによる仮想現実画像品質評価（VR IQA NET: DEEP VIRTUAL REALITY IMAGE QUALITY ASSESSMENT USING ADVERSARIAL LEARNING）</news:title>
   <news:publication_date>2026-04-25T02:08:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683123</loc>
  <lastmod>2026-04-25T02:08:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>VR映像に潜む「例外的な動き」を定量化する手法（Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder）</news:title>
   <news:publication_date>2026-04-25T02:08:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683121</loc>
  <lastmod>2026-04-25T02:06:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>冠動脈IVOCT画像におけるプラーク分類を可能にするCNNと転移学習（Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning）</news:title>
   <news:publication_date>2026-04-25T02:06:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683119</loc>
  <lastmod>2026-04-25T02:06:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>専門家の判断にも効くか？ソフトウェア開発者に対するアンカリング・デバイアス介入の実証（An Experimental Evaluation of a De-biasing Intervention for Professional Software Developers）</news:title>
   <news:publication_date>2026-04-25T02:06:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683117</loc>
  <lastmod>2026-04-25T02:06:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Learning がコンピュータビジョンを変えた理由（Deep Learning For Computer Vision Tasks: A review）</news:title>
   <news:publication_date>2026-04-25T02:06:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683115</loc>
  <lastmod>2026-04-25T01:14:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>手術ロボットのためのベクトル場不等式による能動制約（Active Constraints using Vector Field Inequalities for Surgical Robots）</news:title>
   <news:publication_date>2026-04-25T01:14:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683113</loc>
  <lastmod>2026-04-25T01:13:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ナノ構造化された懸垂グラフェンのひずみ制御用コムドライブアクチュエータの作製（Fabrication of comb-drive actuators for straining nanostructured suspended graphene）</news:title>
   <news:publication_date>2026-04-25T01:13:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683111</loc>
  <lastmod>2026-04-25T01:13:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人物再識別のためのマスク付きディープランキングネットワーク（A Mask Based Deep Ranking Neural Network for Person Retrieval）</news:title>
   <news:publication_date>2026-04-25T01:13:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683109</loc>
  <lastmod>2026-04-25T01:12:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>IoT機器の振る舞いによる指紋化（IoTSense: Behavioral Fingerprinting of IoT Devices）</news:title>
   <news:publication_date>2026-04-25T01:12:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683107</loc>
  <lastmod>2026-04-25T01:12:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Eコマースにおける異常検知：ベイズ半教師ありテンソル分解と自然勾配（E-commerce Anomaly Detection: A Bayesian Semi-Supervised Tensor Decomposition Approach using Natural Gradients）</news:title>
   <news:publication_date>2026-04-25T01:12:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683105</loc>
  <lastmod>2026-04-25T01:12:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>実世界の植物種同定における視覚的注意と深層畳み込みニューラルネットワーク（Real-world plant species identification based on deep convolutional neural networks and visual attention）</news:title>
   <news:publication_date>2026-04-25T01:12:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683103</loc>
  <lastmod>2026-04-25T01:12:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>矮小銀河の表面光度プロファイルの環境差（DIFFERENCE IN DWARF GALAXY SURFACE BRIGHTNESS PROFILES AS A FUNCTION OF ENVIRONMENT）</news:title>
   <news:publication_date>2026-04-25T01:12:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683101</loc>
  <lastmod>2026-04-25T00:21:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>病理画像における教師なしセグメンテーション（Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means）</news:title>
   <news:publication_date>2026-04-25T00:21:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683099</loc>
  <lastmod>2026-04-25T00:21:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>感覚運動ループで動作が予測を変える仕組み（AFA-PredNet: The action modulation within predictive coding）</news:title>
   <news:publication_date>2026-04-25T00:21:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683097</loc>
  <lastmod>2026-04-25T00:20:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師ラベル不要で3D医用画像を自動分割する手法（Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning）</news:title>
   <news:publication_date>2026-04-25T00:20:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683095</loc>
  <lastmod>2026-04-25T00:20:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カメラ撮影スクリーン画像のモアレ除去を可能にした多段階学習（Demoir´eing of Camera-Captured Screen Images Using Deep Convolutional Neural Network）</news:title>
   <news:publication_date>2026-04-25T00:20:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683093</loc>
  <lastmod>2026-04-25T00:19:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時間変化するグラフィカルモデルの推定（Estimating Time-Varying Graphical Models）</news:title>
   <news:publication_date>2026-04-25T00:19:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683091</loc>
  <lastmod>2026-04-25T00:19:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>差分プライバシー下での信頼区間の設計（Differentially Private Confidence Intervals for Empirical Risk Minimization）</news:title>
   <news:publication_date>2026-04-25T00:19:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683089</loc>
  <lastmod>2026-04-25T00:19:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的多変量関数データのスパースサブスペース学習（Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning）</news:title>
   <news:publication_date>2026-04-25T00:19:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683087</loc>
  <lastmod>2026-04-24T23:28:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己教師ありエンドツーエンド視覚オドメトリのための幾何学的一貫性 (Geometric Consistency for Self-Supervised End-to-End Visual Odometry)</news:title>
   <news:publication_date>2026-04-24T23:28:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683085</loc>
  <lastmod>2026-04-24T23:28:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非線形3D顔モルフォアブルモデル（Nonlinear 3D Face Morphable Model）</news:title>
   <news:publication_date>2026-04-24T23:28:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683083</loc>
  <lastmod>2026-04-24T23:28:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グループ公平性を線形最適化で解き放つ（Unleashing Linear Optimizers for Group-Fair Learning and Optimization）</news:title>
   <news:publication_date>2026-04-24T23:28:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683081</loc>
  <lastmod>2026-04-24T23:27:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>しきい値トラップドア関数とその応用（Threshold Trapdoor Functions and Their Applications）</news:title>
   <news:publication_date>2026-04-24T23:27:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683079</loc>
  <lastmod>2026-04-24T23:27:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>WikiProjectsにおけるネットワーク構造と効率・性能の関係（Network Structure, Efficiency, and Performance in WikiProjects）</news:title>
   <news:publication_date>2026-04-24T23:27:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683077</loc>
  <lastmod>2026-04-24T23:26:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Cooperative Trainingによる離散データ生成（CoT: Cooperative Training for Generative Modeling of Discrete Data）</news:title>
   <news:publication_date>2026-04-24T23:26:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683075</loc>
  <lastmod>2026-04-24T23:26:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超新星の光度データで効率的に学ぶ観測戦略（Optimizing spectroscopic follow-up strategies for supernova photometric classification）</news:title>
   <news:publication_date>2026-04-24T23:26:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683073</loc>
  <lastmod>2026-04-24T22:35:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>繰り返し分類による導関数不要最適化（Derivative free optimization via repeated classification）</news:title>
   <news:publication_date>2026-04-24T22:35:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683071</loc>
  <lastmod>2026-04-24T22:34:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>汎用的な後続表現による強化学習の転移（UNIVERSAL SUCCESSOR REPRESENTATIONS FOR TRANSFER REINFORCEMENT LEARNING）</news:title>
   <news:publication_date>2026-04-24T22:34:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683069</loc>
  <lastmod>2026-04-24T22:34:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>太陽の暗黒面 — 次世代の不透明度計算の提案（The Dark Side of the Sun）</news:title>
   <news:publication_date>2026-04-24T22:34:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683067</loc>
  <lastmod>2026-04-24T22:33:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速で学ぶ必要性：強化学習の一般化ベンチマーク（Gotta Learn Fast: A New Benchmark for Generalization in RL）</news:title>
   <news:publication_date>2026-04-24T22:33:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683065</loc>
  <lastmod>2026-04-24T22:33:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テンソル頑健主成分分析の新基準（Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm）</news:title>
   <news:publication_date>2026-04-24T22:33:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683063</loc>
  <lastmod>2026-04-24T22:33:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アンカーノードを用いたグラフマッチングの学習アプローチ（Graph Matching with Anchor Nodes: A Learning Approach）</news:title>
   <news:publication_date>2026-04-24T22:33:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683061</loc>
  <lastmod>2026-04-24T22:32:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチモーダル・スパースベイジアン辞書学習（Multimodal Sparse Bayesian Dictionary Learning）</news:title>
   <news:publication_date>2026-04-24T22:32:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683059</loc>
  <lastmod>2026-04-24T21:40:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>フランス語単語認識におけるRNN-LSTMの実証（French Word Recognition through RNN-LSTM）</news:title>
   <news:publication_date>2026-04-24T21:40:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683057</loc>
  <lastmod>2026-04-24T21:40:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>皮膚鏡画像分類におけるcatGAN＋Wassersteinによる教師なし／半教師あり学習（Unsupervised and semi-supervised learning with Categorical Generative Adversarial Networks assisted by Wasserstein distance for dermoscopy image Classification）</news:title>
   <news:publication_date>2026-04-24T21:40:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683055</loc>
  <lastmod>2026-04-24T21:39:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層的量子分類器の実務的な要点（Hierarchical quantum classifiers）</news:title>
   <news:publication_date>2026-04-24T21:39:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683053</loc>
  <lastmod>2026-04-24T21:37:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3Dモデルから新規個人の写真品質顔画像を生成する半教師あり敵対学習（Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model）</news:title>
   <news:publication_date>2026-04-24T21:37:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683051</loc>
  <lastmod>2026-04-24T21:37:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>デジタルテキストの感情分析における深層学習の適用（Deep Learning for Digital Text Analytics: Sentiment Analysis）</news:title>
   <news:publication_date>2026-04-24T21:37:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683049</loc>
  <lastmod>2026-04-24T21:36:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高赤方偏移サブミリ波銀河における塵と[CII]の分布：大きなクランプの不在が示すもの（THE DUST AND [CII] MORPHOLOGIES OF REDSHIFT ∼4.5 SUB-MILLIMETER GALAXIES AT ∼200 PC RESOLUTION）</news:title>
   <news:publication_date>2026-04-24T21:36:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683047</loc>
  <lastmod>2026-04-24T21:36:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepMarksによる深層学習モデルのデジタル指紋化（DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks）</news:title>
   <news:publication_date>2026-04-24T21:36:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683045</loc>
  <lastmod>2026-04-24T20:44:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多次元ヒストグラムの同一性検定（Testing Identity of Multidimensional Histograms）</news:title>
   <news:publication_date>2026-04-24T20:44:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683043</loc>
  <lastmod>2026-04-24T20:43:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚と聴覚を同時に学ぶ自己教師あり多感覚表現（Audio-Visual Scene Analysis with Self-Supervised Multisensory Features）</news:title>
   <news:publication_date>2026-04-24T20:43:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683041</loc>
  <lastmod>2026-04-24T20:43:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>プログラム挙動パターンの意味埋め込み（Semantic Embeddings for Program Behavior Patterns）</news:title>
   <news:publication_date>2026-04-24T20:43:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683039</loc>
  <lastmod>2026-04-24T20:43:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>部分サンプリングによる最適化の統計的保証とMSE推定（Subsampled Optimization: Statistical Guarantees, Mean Squared Error Approximation, and Sampling Method）</news:title>
   <news:publication_date>2026-04-24T20:43:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683037</loc>
  <lastmod>2026-04-24T20:42:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>車両の意味的意図と軌道の確率的予測（Probabilistic Prediction of Vehicle Semantic Intention and Motion）</news:title>
   <news:publication_date>2026-04-24T20:42:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683035</loc>
  <lastmod>2026-04-24T20:42:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カクテルパーティ問題を映像で解く―話者非依存の音声分離（Looking to Listen at the Cocktail Party）</news:title>
   <news:publication_date>2026-04-24T20:42:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683033</loc>
  <lastmod>2026-04-24T20:42:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>感情転移のためのSeq2Seq敵対的オートエンコーダ（Sentiment Transfer using Seq2Seq Adversarial Autoencoders）</news:title>
   <news:publication_date>2026-04-24T20:42:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683031</loc>
  <lastmod>2026-04-24T19:51:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自然言語からの動画を作る仕組み（Imagine This! Scripts to Compositions to Videos）</news:title>
   <news:publication_date>2026-04-24T19:51:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683029</loc>
  <lastmod>2026-04-24T19:50:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二分空間分割による内発的報酬（Binary Space Partitioning as Intrinsic Reward）</news:title>
   <news:publication_date>2026-04-24T19:50:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683027</loc>
  <lastmod>2026-04-24T19:50:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>β-VAEにおける因子分離の理解（Understanding disentangling in β-VAE）</news:title>
   <news:publication_date>2026-04-24T19:50:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683025</loc>
  <lastmod>2026-04-24T19:50:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチコントラスト圧縮センシングMRI再構成のための深い情報共有ネットワーク（A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction）</news:title>
   <news:publication_date>2026-04-24T19:50:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683023</loc>
  <lastmod>2026-04-24T19:49:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Grassmann多様体上の学習による時空コンステレーションの自動認識（Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold）</news:title>
   <news:publication_date>2026-04-24T19:49:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683021</loc>
  <lastmod>2026-04-24T19:49:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クラスタリングに基づく強化学習によるe-ヘルス介入の個別化（A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions）</news:title>
   <news:publication_date>2026-04-24T19:49:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683019</loc>
  <lastmod>2026-04-24T19:49:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>並行処理向け欠陥予測の実践手法（ConPredictor: Concurrency Defect Prediction in Real-World Applications）</news:title>
   <news:publication_date>2026-04-24T19:49:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683017</loc>
  <lastmod>2026-04-24T18:58:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューロモーフィック・マルチチップでトピックモデルを学習する試み（Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems）</news:title>
   <news:publication_date>2026-04-24T18:58:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683015</loc>
  <lastmod>2026-04-24T18:57:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>二つの入力を使った3Dセマンティックシーン補完（Two Stream 3D Semantic Scene Completion）</news:title>
   <news:publication_date>2026-04-24T18:57:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683013</loc>
  <lastmod>2026-04-24T18:57:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチスケールボクセル深層ネットワークによる点群シーン分類（Classification of Point Cloud Scenes with Multiscale Voxel Deep Network）</news:title>
   <news:publication_date>2026-04-24T18:57:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683011</loc>
  <lastmod>2026-04-24T18:56:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一般化ギブス集合に基づく機械学習アルゴリズム（Machine learning algorithms based on generalized Gibbs ensembles）</news:title>
   <news:publication_date>2026-04-24T18:56:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683009</loc>
  <lastmod>2026-04-24T18:56:15Z</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からのニュース収集のレビュー (Mining Social Media for Newsgathering: A Review)</news:title>
   <news:publication_date>2026-04-24T18:56:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683007</loc>
  <lastmod>2026-04-24T18:56:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マルチバンドRFエネルギー収穫とスペクトラム活用の共生戦略（Multi-band RF Energy and Spectrum Harvesting in Cognitive Radio Networks）</news:title>
   <news:publication_date>2026-04-24T18:56:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/683005</loc>
  <lastmod>2026-04-24T18:55:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-04-24T18:55:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-04-24T18:03:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682997</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>2026-04-24T18:01:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-04-24T18:01:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハーシェル混雑限界を越えて描く銀河の主系列（Main sequence of star forming galaxies beyond the Herschel confusion limit）</news:title>
   <news:publication_date>2026-04-24T18:01:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682991</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>2026-04-24T18:01:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682989</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>2026-04-24T17:09:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682987</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>2026-04-24T17:00:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682985</loc>
  <lastmod>2026-04-24T17:00:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AGINAO自己プログラミングエンジン（The AGINAO Self-Programming Engine）</news:title>
   <news:publication_date>2026-04-24T17:00:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682983</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>構造を捉える生成対抗ネットワーク（Graphical Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-04-24T17:00:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682981</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>2026-04-24T16:59:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-04-24T16:58:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>回転・平行移動共変畳み込みネットワークによる医用画像解析（Roto-Translation Covariant Convolutional Networks for Medical Image Analysis）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-04-24T15:12:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682959</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>2026-04-24T15:11:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682957</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>2026-04-24T15:11:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682953</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>2026-04-24T15:09:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682951</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682949</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>2026-04-24T15:09:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-04-24T14:16:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-04-24T14:16:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682943</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>体系的なDNN重みプルーニングの枠組み（A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers）</news:title>
   <news:publication_date>2026-04-24T13:21:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682931</loc>
  <lastmod>2026-04-24T13:20:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超知能機械のための数学的枠組み（A Mathematical Framework for Superintelligent Machines）</news:title>
   <news:publication_date>2026-04-24T13:20:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682929</loc>
  <lastmod>2026-04-24T13:19:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低品質画像における掌紋識別の深層特徴比較（Pilot Comparative Study of Different Deep Features for Palmprint Identification in Low-Quality Images）</news:title>
   <news:publication_date>2026-04-24T13:19:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682927</loc>
  <lastmod>2026-04-24T13:17:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多指把持を確率的推論として計画する（Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network）</news:title>
   <news:publication_date>2026-04-24T13:17:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682925</loc>
  <lastmod>2026-04-24T13:17:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>UAVとエッジキャッシュでVR配信の遅延を減らす手法（Echo-Liquid State Deep Learning for 360◦Content Transmission and Caching in Wireless VR Networks with Cellular-Connected UAVs）</news:title>
   <news:publication_date>2026-04-24T13:17:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682923</loc>
  <lastmod>2026-04-24T13:17:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>混雑した場面における人の理解：深い入れ子型敵対学習と多人数パースの新ベンチマーク（Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing）</news:title>
   <news:publication_date>2026-04-24T13:17:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682921</loc>
  <lastmod>2026-04-24T13:16:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中心極限定理から導くブラック–ショールズのオプション価格モデル（A Derivation of the Black-Scholes Option Pricing Model Using a Central Limit Theorem Argument）</news:title>
   <news:publication_date>2026-04-24T13:16:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682919</loc>
  <lastmod>2026-04-24T12:24:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RNNによる人物再識別の再考（Recurrent Neural Networks for Person Re-identification Revisited）</news:title>
   <news:publication_date>2026-04-24T12:24:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682917</loc>
  <lastmod>2026-04-24T12:24:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフ基盤の能動的半教師あり学習における超加法性の発見（ON THE SUPERMODULARITY OF ACTIVE GRAPH-BASED SEMI-SUPERVISED LEARNING WITH STIELTJES MATRIX REGULARIZATION）</news:title>
   <news:publication_date>2026-04-24T12:24:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682915</loc>
  <lastmod>2026-04-24T12:24:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層能動サバイバル解析による個別化治療提案（A Deep Active Survival Analysis Approach for Precision Treatment Recommendations: Application of Prostate Cancer）</news:title>
   <news:publication_date>2026-04-24T12:24:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682913</loc>
  <lastmod>2026-04-24T12:22:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>術前リスク評価における臨床判断とMySurgeryRiskアルゴリズムの比較（COMPARING CLINICAL JUDGMENT WITH MYSURGERYRISK ALGORITHM FOR PREOPERATIVE RISK ASSESSMENT: A PILOT STUDY）</news:title>
   <news:publication_date>2026-04-24T12:22:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682911</loc>
  <lastmod>2026-04-24T12:22:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>胎盤組織学における深層細胞表現型解析の進展（Towards Deep Cellular Phenotyping in Placental Histology）</news:title>
   <news:publication_date>2026-04-24T12:22:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682909</loc>
  <lastmod>2026-04-24T12:22:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>野球映像における微細行動認識の挑戦と示唆（Fine-grained Activity Recognition in Baseball Videos）</news:title>
   <news:publication_date>2026-04-24T12:22:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682907</loc>
  <lastmod>2026-04-24T12:22:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的センサ部分集合選択による集中トラッキング（Dynamic Sensor Subset Selection for Centralized Tracking of a Stochastic Process）</news:title>
   <news:publication_date>2026-04-24T12:22:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682905</loc>
  <lastmod>2026-04-24T11:29:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模分散ニューラルネットワークのオンライン蒸留による訓練（LARGE SCALE DISTRIBUTED NEURAL NETWORK TRAINING THROUGH ONLINE DISTILLATION）</news:title>
   <news:publication_date>2026-04-24T11:29:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682903</loc>
  <lastmod>2026-04-24T11:29:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>NetAdaptによるプラットフォーム適応型ニューラルネットワーク（NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications）</news:title>
   <news:publication_date>2026-04-24T11:29:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682901</loc>
  <lastmod>2026-04-24T11:29:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Haarスキャッタリング上に構築する関数近似器（Building Function Approximators on top of Haar Scattering Networks）</news:title>
   <news:publication_date>2026-04-24T11:29:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682899</loc>
  <lastmod>2026-04-24T11:28:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模データに対応するFHVAEの訓練手法（Scalable Factorized Hierarchical Variational Autoencoder Training）</news:title>
   <news:publication_date>2026-04-24T11:28:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682897</loc>
  <lastmod>2026-04-24T11:28:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重なり合うデータセットの統合と因果モデルの実用性（Merging joint distributions via causal model classes with low VC dimension）</news:title>
   <news:publication_date>2026-04-24T11:28:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682895</loc>
  <lastmod>2026-04-24T11:27:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>乳がん組織画像の評価と密に接続された畳み込みネットワーク（Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks）</news:title>
   <news:publication_date>2026-04-24T11:27:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682893</loc>
  <lastmod>2026-04-24T11:27:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多因子肥満の深層学習による分類（Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs）</news:title>
   <news:publication_date>2026-04-24T11:27:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682891</loc>
  <lastmod>2026-04-24T10:35:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>内在体積による文脈探索（Contextual Search via Intrinsic Volumes）</news:title>
   <news:publication_date>2026-04-24T10:35:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682889</loc>
  <lastmod>2026-04-24T10:35:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヒューマンガイド型データ探索（Human-Guided Data Exploration）</news:title>
   <news:publication_date>2026-04-24T10:35:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682887</loc>
  <lastmod>2026-04-24T10:34:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ADMMを用いた敵対的攻撃の統一フレームワーク（An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks）</news:title>
   <news:publication_date>2026-04-24T10:34:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682885</loc>
  <lastmod>2026-04-24T10:33:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>絵画への自然な合成を実現する手法（Deep Painterly Harmonization）</news:title>
   <news:publication_date>2026-04-24T10:33:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682883</loc>
  <lastmod>2026-04-24T10:33:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深部脳刺激と薬剤が示すSTN-LFP信号の行動認識影響（Studying the Effects of Deep Brain Stimulation and Medication on the Dynamics of STN-LFP Signals for Human Behavior Analysis）</news:title>
   <news:publication_date>2026-04-24T10:33:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682881</loc>
  <lastmod>2026-04-24T10:33:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的時間到達モデリング（Adversarial Time-to-Event Modeling）</news:title>
   <news:publication_date>2026-04-24T10:33:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682879</loc>
  <lastmod>2026-04-24T10:32:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>拡張ラグランジュ法によるFrank-Wolfe分割法（Frank-Wolfe Splitting via Augmented Lagrangian Method）</news:title>
   <news:publication_date>2026-04-24T10:32:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682877</loc>
  <lastmod>2026-04-24T09:41:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>見慣れない事例への信頼度改善手法（Improving Confidence Estimates for Unfamiliar Examples）</news:title>
   <news:publication_date>2026-04-24T09:41:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682875</loc>
  <lastmod>2026-04-24T09:40:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>映像と音をピクセル単位で結びつける技術の衝撃（The Sound of Pixels）</news:title>
   <news:publication_date>2026-04-24T09:40:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682873</loc>
  <lastmod>2026-04-24T09:39:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Strawberry Fieldsのための光量子計算ソフトウェアプラットフォーム（Strawberry Fields: A Software Platform for Photonic Quantum Computing）</news:title>
   <news:publication_date>2026-04-24T09:39:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682871</loc>
  <lastmod>2026-04-24T09:38:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ピクセル単位メトリック学習による超高速ビデオ物体分割 (Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning)</news:title>
   <news:publication_date>2026-04-24T09:38:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682869</loc>
  <lastmod>2026-04-24T09:38:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コーシー雑音損失によるランダム行列モデルの確率的最適化（CAUCHY NOISE LOSS FOR STOCHASTIC OPTIMIZATION OF RANDOM MATRIX MODELS VIA FREE DETERMINISTIC EQUIVALENTS）</news:title>
   <news:publication_date>2026-04-24T09:38:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682867</loc>
  <lastmod>2026-04-24T09:38:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>銀河団における暗黒物質サブハローの新たな探査法（Probing Dark Matter Subhalos in Galaxy Clusters Using Highly Magnified Stars）</news:title>
   <news:publication_date>2026-04-24T09:38:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682865</loc>
  <lastmod>2026-04-24T09:37:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Data2Visによる自動データ可視化の生成（Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks）</news:title>
   <news:publication_date>2026-04-24T09:37:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682863</loc>
  <lastmod>2026-04-24T08:46:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ユーザー内・ユーザー間表現学習を活用した自動ヘイトスピーチ検出（Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection）</news:title>
   <news:publication_date>2026-04-24T08:46:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682861</loc>
  <lastmod>2026-04-24T08:45:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>AMNetによる画像の記憶性推定（AMNet: Memorability Estimation with Attention）</news:title>
   <news:publication_date>2026-04-24T08:45:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682859</loc>
  <lastmod>2026-04-24T08:45:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マーカー不要の特徴点追跡を可能にした深層学習（Markerless tracking of user-defined features with deep learning）</news:title>
   <news:publication_date>2026-04-24T08:45:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682857</loc>
  <lastmod>2026-04-24T08:44:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>削除チャネルに対する改ざん検知付き半ユニバーサル通信システム（A Tamper-Free Semi-Universal Communication System for Deletion Channels）</news:title>
   <news:publication_date>2026-04-24T08:44:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682855</loc>
  <lastmod>2026-04-24T08:44:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>属性中心損失に基づく顔スケッチ–写真照合（Attribute-Centered Loss for Soft-Biometrics Guided Face Sketch-Photo Recognition）</news:title>
   <news:publication_date>2026-04-24T08:44:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682853</loc>
  <lastmod>2026-04-24T08:44:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビンジ・ウォッチングで学ぶアフォーダンス（Binge Watching: Scaling Affordance Learning from Sitcoms）</news:title>
   <news:publication_date>2026-04-24T08:44:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682851</loc>
  <lastmod>2026-04-24T07:52:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>行列スケッチによる効率的な異常検出（Efficient Anomaly Detection via Matrix Sketching）</news:title>
   <news:publication_date>2026-04-24T07:52:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682849</loc>
  <lastmod>2026-04-24T07:52:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>上位精度と上位再現率を最大化するプラグイン手法（A plug-in approach to maximising precision at the top and recall at the top）</news:title>
   <news:publication_date>2026-04-24T07:52:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682847</loc>
  <lastmod>2026-04-24T07:52:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚を共通語とする多言語音声埋め込みの学習（VISION AS AN INTERLINGUA: LEARNING MULTILINGUAL SEMANTIC EMBEDDINGS OF UNTRANSCRIBED SPEECH）</news:title>
   <news:publication_date>2026-04-24T07:52:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682845</loc>
  <lastmod>2026-04-24T07:51:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>変分アンサッツに基づく虚時間進化の量子シミュレーション（Variational ansatz-based quantum simulation of imaginary time evolution）</news:title>
   <news:publication_date>2026-04-24T07:51:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682843</loc>
  <lastmod>2026-04-24T07:51:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ガイド付き視覚的クラスタリング分析の実装（Clustrophile 2: Guided Visual Clustering Analysis）</news:title>
   <news:publication_date>2026-04-24T07:51:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682841</loc>
  <lastmod>2026-04-24T07:51:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロボット支援手術における自動針把持技術（Automated pick-up of suturing needles for robotic surgical assistance）</news:title>
   <news:publication_date>2026-04-24T07:51:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682839</loc>
  <lastmod>2026-04-24T07:00:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>手から道具へ：ヒューマノイドロボットのアフォーダンス学習（Learning at the Ends: From Hand to Tool）</news:title>
   <news:publication_date>2026-04-24T07:00:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682837</loc>
  <lastmod>2026-04-24T06:59:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多視点融合CNNによる左心室容量推定（Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images）</news:title>
   <news:publication_date>2026-04-24T06:59:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682835</loc>
  <lastmod>2026-04-24T06:59:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>産業用ビッグデータの異常検知手法（Anomaly Detection for Industrial Big Data）</news:title>
   <news:publication_date>2026-04-24T06:59:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682833</loc>
  <lastmod>2026-04-24T06:58:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>再現可能な研究を自動で見分ける仕組み（Towards Reproducible Research: Automatic Classification of Empirical Requirements Engineering Papers）</news:title>
   <news:publication_date>2026-04-24T06:58:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682831</loc>
  <lastmod>2026-04-24T06:58:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>クリケットにおける選手パフォーマンス予測の向上（Increased Prediction Accuracy in the Game of Cricket Using Machine Learning）</news:title>
   <news:publication_date>2026-04-24T06:58:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682829</loc>
  <lastmod>2026-04-24T06:58:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ルールベース機械学習モデルの解釈に影響する認知バイアスの検討（A review of possible effects of cognitive biases on interpretation of rule-based machine learning models）</news:title>
   <news:publication_date>2026-04-24T06:58:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682827</loc>
  <lastmod>2026-04-24T06:58:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>極低ビットレートで「見た目」を優先する画像圧縮の新潮流（Generative Adversarial Networks for Extreme Learned Image Compression）</news:title>
   <news:publication_date>2026-04-24T06:58:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682825</loc>
  <lastmod>2026-04-24T06:06:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少数症例での腹部大動脈瘤セグメンテーション（Abdominal Aortic Aneurysm Segmentation with a Small Number of Training Subjects）</news:title>
   <news:publication_date>2026-04-24T06:06:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682823</loc>
  <lastmod>2026-04-24T06:06:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サンプル由来の離散的ルールによる電力系統運用の安全化（Sample-Derived Disjunctive Rules for Secure Power System Operation）</news:title>
   <news:publication_date>2026-04-24T06:06:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682821</loc>
  <lastmod>2026-04-24T06:04:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分布認識型ニューラルネットワークのバイナリ化（Distribution-Aware Binarization of Neural Networks for Sketch Recognition）</news:title>
   <news:publication_date>2026-04-24T06:04:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682819</loc>
  <lastmod>2026-04-24T06:04:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>傾斜または軌道離心率を持つ連星の潮汐破壊（Tidal Disruption of Inclined or Eccentric Binaries by Massive Black Holes）</news:title>
   <news:publication_date>2026-04-24T06:04:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682817</loc>
  <lastmod>2026-04-24T06:04:30Z</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・レイヤード・ラーニングによる重奏音のピッチ追跡（Polyphonic Pitch Tracking with Deep Layered Learning）</news:title>
   <news:publication_date>2026-04-24T06:04:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682815</loc>
  <lastmod>2026-04-24T06:04:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ブレた瞬間を動画として復元する技術（Bringing Alive Blurred Moments）</news:title>
   <news:publication_date>2026-04-24T06:04:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682813</loc>
  <lastmod>2026-04-24T06:03:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トポロジカルカラーコードのニューラルネットワークデコーダ（Neural network decoder for topological color codes with circuit level noise）</news:title>
   <news:publication_date>2026-04-24T06:03:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682811</loc>
  <lastmod>2026-04-24T05:12:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>段階的学習で高倍率を実現する単一画像超解像（A Fully Progressive Approach to Single-Image Super-Resolution）</news:title>
   <news:publication_date>2026-04-24T05:12:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682809</loc>
  <lastmod>2026-04-24T05:12:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的システムにおける認知（Cognition in Dynamical Systems）</news:title>
   <news:publication_date>2026-04-24T05:12:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682807</loc>
  <lastmod>2026-04-24T05:11:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層型強化学習のための潜在空間ポリシー（Latent Space Policies for Hierarchical Reinforcement Learning）</news:title>
   <news:publication_date>2026-04-24T05:11:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682805</loc>
  <lastmod>2026-04-24T05:11:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オクルージョン下の人物再識別の新展開（Occluded Person Re-Identification）</news:title>
   <news:publication_date>2026-04-24T05:11:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682803</loc>
  <lastmod>2026-04-24T05:10:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アクティブ・ミニバッチサンプリングによる収束高速化（Active Mini-Batch Sampling using Repulsive Point Processes）</news:title>
   <news:publication_date>2026-04-24T05:10:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682801</loc>
  <lastmod>2026-04-24T05:10:34Z</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可逆圧縮とオンデバイス推論の実現（Universal and Succinct Source Coding of Deep Neural Networks）</news:title>
   <news:publication_date>2026-04-24T05:10:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682799</loc>
  <lastmod>2026-04-24T05:10:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>光ファイバー伝送における非線形シュレディンガー方程式の深層学習（Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications）</news:title>
   <news:publication_date>2026-04-24T05:10:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682797</loc>
  <lastmod>2026-04-24T04:18:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非線形活性化関数の比較と深層ネットワークの性能（Comparison of non-linear activation functions for deep neural networks on MNIST classification task）</news:title>
   <news:publication_date>2026-04-24T04:18:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682795</loc>
  <lastmod>2026-04-24T04:18:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>適応型多クラス最近傍分類器の要点（AN ADAPTIVE MULTICLASS NEAREST NEIGHBOR CLASSIFIER）</news:title>
   <news:publication_date>2026-04-24T04:18:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682793</loc>
  <lastmod>2026-04-24T04:17:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DCE-MRIからの薬物動態パラメータの直接推定（Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss）</news:title>
   <news:publication_date>2026-04-24T04:17:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682791</loc>
  <lastmod>2026-04-24T04:17:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一様背景を含むGaussian混合モデルの教師なし学習（Unsupervised Learning of GMM with a Uniform Background Component）</news:title>
   <news:publication_date>2026-04-24T04:17:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682789</loc>
  <lastmod>2026-04-24T04:17:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模データで効く高速条件独立性検定（Fast Conditional Independence Test for Vector Variables with Large Sample Sizes）</news:title>
   <news:publication_date>2026-04-24T04:17:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682787</loc>
  <lastmod>2026-04-24T04:17:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepASL: 動的モデル組み込み損失を用いた動脈スピンラベルMRIのデノイズ（DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning）</news:title>
   <news:publication_date>2026-04-24T04:17:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682785</loc>
  <lastmod>2026-04-24T03:25:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>力場のベイズ校正と不確実性定量（Bayesian Calibration of Force-fields from Experimental Data: TIP4P Water）</news:title>
   <news:publication_date>2026-04-24T03:25:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682783</loc>
  <lastmod>2026-04-24T03:25:06Z</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向け構造志向の教師なしクロール戦略（A Structure-Oriented Unsupervised Crawling Strategy for Social Media Sites）</news:title>
   <news:publication_date>2026-04-24T03:25:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682781</loc>
  <lastmod>2026-04-24T03:24:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SDNと機械学習に基づくネットワークセキュリティの課題（The Challenges in SDN/ML Based Network Security : A Survey）</news:title>
   <news:publication_date>2026-04-24T03:24:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682779</loc>
  <lastmod>2026-04-24T03:24:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>イベントストリームからのプロセスマップ発見（Discovering Process Maps from Event Streams）</news:title>
   <news:publication_date>2026-04-24T03:24:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682777</loc>
  <lastmod>2026-04-24T03:23:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepMimicによる物理ベースキャラクタ技能の再現（DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills）</news:title>
   <news:publication_date>2026-04-24T03:23:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682775</loc>
  <lastmod>2026-04-24T03:23:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Ordinal Pooling Networks（Ordinal Pooling Networks: For Preserving Information over Shrinking Feature Maps）</news:title>
   <news:publication_date>2026-04-24T03:23:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682773</loc>
  <lastmod>2026-04-24T03:23:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>格子モデルの相転移を学習する機械学習手法（Machine learning of phase transitions in the percolation and XY models）</news:title>
   <news:publication_date>2026-04-24T03:23:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682771</loc>
  <lastmod>2026-04-24T02:32:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的安定性への道筋：学習ダイナミクス比較の示唆（Path to Stochastic Stability: Comparative Analysis of Stochastic Learning Dynamics in Games）</news:title>
   <news:publication_date>2026-04-24T02:32:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682769</loc>
  <lastmod>2026-04-24T02:32:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>個人化分類器による食品画像認識（Personalized Classifier for Food Image Recognition）</news:title>
   <news:publication_date>2026-04-24T02:32:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682767</loc>
  <lastmod>2026-04-24T02:32:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層型モジュラー強化学習とマルチターゲット問題の知見（Hierarchical Modular Reinforcement Learning Method and Knowledge Acquisition of State-Action Rule for Multi-target Problem）</news:title>
   <news:publication_date>2026-04-24T02:32:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682765</loc>
  <lastmod>2026-04-24T02:31:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教師あり畳み込みスパースコーディング（Supervised Convolutional Sparse Coding）</news:title>
   <news:publication_date>2026-04-24T02:31:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682763</loc>
  <lastmod>2026-04-24T02:31:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一画像向け高速降雨除去のための深層分解・合成ネットワーク（Fast Single Image Rain Removal via a Deep Decomposition-Composition Network）</news:title>
   <news:publication_date>2026-04-24T02:31:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682761</loc>
  <lastmod>2026-04-24T02:31:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習ベースの映像動作拡大（Learning-based Video Motion Magnification）</news:title>
   <news:publication_date>2026-04-24T02:31:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682759</loc>
  <lastmod>2026-04-24T01:39:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>プロトタイプ駆動型創薬を加速するConditional Diversity Networks（Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks）</news:title>
   <news:publication_date>2026-04-24T01:39:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682757</loc>
  <lastmod>2026-04-24T01:39:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像比較のためのMonge–Kantorovich最適輸送距離 (The Monge-Kantorovich Optimal Transport Distance for Image Comparison)</news:title>
   <news:publication_date>2026-04-24T01:39:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682755</loc>
  <lastmod>2026-04-24T01:39:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>交通事故の早期予測を可能にした損失関数の工夫と大規模ニアミスDB（Anticipating Traffic Accidents with Adaptive Loss and Large-scale Incident DB）</news:title>
   <news:publication_date>2026-04-24T01:39:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682753</loc>
  <lastmod>2026-04-24T01:38:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>次元の祝福：基礎分布による画像クラスタリング (Dimensionality’s Blessing: Clustering Images by Underlying Distribution)</news:title>
   <news:publication_date>2026-04-24T01:38:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682751</loc>
  <lastmod>2026-04-24T01:38:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成対抗ネットワークによる言語モデリング（Language Modeling with Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-04-24T01:38:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682749</loc>
  <lastmod>2026-04-24T01:38:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インタラクティブな階層的自己組織化マップの提案（A Proposal of Interactive Growing Hierarchical SOM）</news:title>
   <news:publication_date>2026-04-24T01:38:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682747</loc>
  <lastmod>2026-04-24T01:37:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>環境音認識におけるMasked Conditional Neural Networkの提案（Environmental Sound Recognition using Masked Conditional Neural Networks）</news:title>
   <news:publication_date>2026-04-24T01:37:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682744</loc>
  <lastmod>2026-04-24T00:46:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超ガウス性を超えて：高次元統計における応用（Moving Beyond Sub-Gaussianity in High Dimensional Statistics）</news:title>
   <news:publication_date>2026-04-24T00:46:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682742</loc>
  <lastmod>2026-04-24T00:46:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リラックス版上限信頼境界によるサンプル選択で多臓器セグメンテーションが速やかに向上する（Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound）</news:title>
   <news:publication_date>2026-04-24T00:46:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682740</loc>
  <lastmod>2026-04-24T00:45:29Z</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3D腹部多臓器セグメンテーション（Semi-Supervised 3D Abdominal Multi-Organ Segmentation via Deep Multi-Planar Co-Training）</news:title>
   <news:publication_date>2026-04-24T00:45:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682738</loc>
  <lastmod>2026-04-24T00:44:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電話ネットワーク上の悪質な着信防止のための機械学習アプローチ（A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks）</news:title>
   <news:publication_date>2026-04-24T00:44:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682736</loc>
  <lastmod>2026-04-24T00:44:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>喘息の診断・予後における人工知能応用の包括的研究（A Comprehensive Study on the Applications of Artificial Intelligence for the Medical Diagnosis and Prognosis of Asthma）</news:title>
   <news:publication_date>2026-04-24T00:44:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682734</loc>
  <lastmod>2026-04-24T00:44:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MDPベース近似POMDPソルバの限界――多解像度情報収集における落とし穴（Hindsight is Only 50/50: Unsuitability of MDP based Approximate POMDP Solvers for Multi-resolution Information Gathering）</news:title>
   <news:publication_date>2026-04-24T00:44:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682732</loc>
  <lastmod>2026-04-24T00:43:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>核を相手にしたDISにおけるJ/ψ生成のエネルギー進化（Energy evolution of J/ψ production in DIS on nuclei）</news:title>
   <news:publication_date>2026-04-24T00:43:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682730</loc>
  <lastmod>2026-04-23T23:52:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>車載動画から「ヒヤリハット」を学ぶ — 大規模Near-Missデータベースがもたらす変化（Drive Video Analysis for the Detection of Traffic Near-Miss Incidents）</news:title>
   <news:publication_date>2026-04-23T23:52:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682728</loc>
  <lastmod>2026-04-23T23:52:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルネットワークベース音声合成の波形生成と音響モデリング比較（A Comparison of Recent Waveform Generation and Acoustic Modeling Methods for Neural-Network-Based Speech Synthesis）</news:title>
   <news:publication_date>2026-04-23T23:52:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682726</loc>
  <lastmod>2026-04-23T23:52:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習アルゴリズムの「ほぼ不合理な有効性」の考察（Not quite unreasonable effectiveness of machine learning algorithms）</news:title>
   <news:publication_date>2026-04-23T23:52:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682724</loc>
  <lastmod>2026-04-23T23:52:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不連続性を含む確率プログラムのためのハミルトニアンモンテカルロ（Hamiltonian Monte Carlo for Probabilistic Programs with Discontinuities）</news:title>
   <news:publication_date>2026-04-23T23:52:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682722</loc>
  <lastmod>2026-04-23T23:51:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習構成記述のためのオントロジー（An Ontology for Describing Artificial Neural Network Evaluation, Topology and Training）</news:title>
   <news:publication_date>2026-04-23T23:51:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682720</loc>
  <lastmod>2026-04-23T23:51:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>統計的トランスフォーマーネットワーク（Statistical Transformer Networks: learning shape and appearance models via self supervision）</news:title>
   <news:publication_date>2026-04-23T23:51:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682718</loc>
  <lastmod>2026-04-23T23:51:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>血流情報を利用した超解像コントラスト超音波（Exploiting flow dynamics for super-resolution in contrast-enhanced ultrasound）</news:title>
   <news:publication_date>2026-04-23T23:51:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682716</loc>
  <lastmod>2026-04-23T23:00:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>引用発見を自動化するQuootstrap（Quootstrap: Scalable Unsupervised Extraction of Quotation–Speaker Pairs from Large News Corpora via Bootstrapping）</news:title>
   <news:publication_date>2026-04-23T23:00:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682714</loc>
  <lastmod>2026-04-23T23:00:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>説明可能な深層学習のための視覚分析（Visual Analytics for Explainable Deep Learning）</news:title>
   <news:publication_date>2026-04-23T23:00:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682712</loc>
  <lastmod>2026-04-23T22:59:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不完全かつ異種混在データからのテキスト–ビデオ埋め込み学習（Learning a Text-Video Embedding from Incomplete and Heterogeneous Data）</news:title>
   <news:publication_date>2026-04-23T22:59:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682710</loc>
  <lastmod>2026-04-23T22:59:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>シーケンス対シーケンス型チャットボットの感情スケーリング（SCALABLE SENTIMENT FOR SEQUENCE-TO-SEQUENCE CHATBOT RESPONSE WITH PERFORMANCE ANALYSIS）</news:title>
   <news:publication_date>2026-04-23T22:59:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682708</loc>
  <lastmod>2026-04-23T22:59:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バッグによる閉じ込めがチラル対称性の破れをもたらす仕組み（Confinement Admits Chiral Symmetry Breaking via Bag）</news:title>
   <news:publication_date>2026-04-23T22:59:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682706</loc>
  <lastmod>2026-04-23T22:58:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MVSNetによる多視点ステレオの深度推定（MVSNet: Depth Inference for Unstructured Multi-view Stereo）</news:title>
   <news:publication_date>2026-04-23T22:58:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682704</loc>
  <lastmod>2026-04-23T22:08:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>連続的構成可能な深層ニューラルネットワーク（Continuously Constructive Deep Neural Networks）</news:title>
   <news:publication_date>2026-04-23T22:08:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682702</loc>
  <lastmod>2026-04-23T22:08:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>連想圧縮ネットワークによる表現学習（Associative Compression Networks for Representation Learning）</news:title>
   <news:publication_date>2026-04-23T22:08:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682700</loc>
  <lastmod>2026-04-23T22:08:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Fortified Networksで深層ネットワークを堅牢化する（Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations）</news:title>
   <news:publication_date>2026-04-23T22:08:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682698</loc>
  <lastmod>2026-04-23T22:07:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Nyström法によるハミルトニアン力学の近似（Approximating Hamiltonian dynamics with the Nyström method）</news:title>
   <news:publication_date>2026-04-23T22:07:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682696</loc>
  <lastmod>2026-04-23T22:06:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>水中での人間の動作とジェスチャー理解による人–ロボット協調（Understanding Human Motion and Gestures for Underwater Human-Robot Collaboration）</news:title>
   <news:publication_date>2026-04-23T22:06:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682694</loc>
  <lastmod>2026-04-23T22:06:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>距離分布からの点集合再構成（Reconstructing Point Sets from Distance Distributions）</news:title>
   <news:publication_date>2026-04-23T22:06:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682692</loc>
  <lastmod>2026-04-23T21:15:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>微分可能な可塑性による継続学習の道（Differentiable plasticity: training plastic neural networks with backpropagation）</news:title>
   <news:publication_date>2026-04-23T21:15:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682690</loc>
  <lastmod>2026-04-23T21:14:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>2Dレーザースキャンでの深層人物検出（Deep Person Detection in 2D Range Data）</news:title>
   <news:publication_date>2026-04-23T21:14:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682688</loc>
  <lastmod>2026-04-23T21:13:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>科学論文の図表抽出を自動化する遠隔教師付きニューラルネットワーク（Extracting Scientific Figures with Distantly Supervised Neural Networks）</news:title>
   <news:publication_date>2026-04-23T21:13:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682686</loc>
  <lastmod>2026-04-23T21:13:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>長距離サイト希釈XXZモデルの量子モンテカルロ研究（A quantum Monte Carlo study of the long-ranged site-diluted XXZ-model as realized by polar molecules）</news:title>
   <news:publication_date>2026-04-23T21:13:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682684</loc>
  <lastmod>2026-04-23T21:12:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ネットワーク上の高速分散最適化の新枠組み（Fast Decentralized Optimization over Networks）</news:title>
   <news:publication_date>2026-04-23T21:12:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682682</loc>
  <lastmod>2026-04-23T21:12:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意味的に拡張されたソフトウェアトレーサビリティ（Semantically Enhanced Software Traceability Using Deep Learning Techniques）</news:title>
   <news:publication_date>2026-04-23T21:12:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682680</loc>
  <lastmod>2026-04-23T21:11:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ソフトウェアメトリクスの閾値調整のためのベイズ階層モデル（Bayesian Hierarchical Modelling for Tailoring Metric Thresholds）</news:title>
   <news:publication_date>2026-04-23T21:11:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682678</loc>
  <lastmod>2026-04-23T20:20:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>部分空間表現とスパース分解による画像セグメンテーション (Image Segmentation Using Subspace Representation and Sparse Decomposition)</news:title>
   <news:publication_date>2026-04-23T20:20:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682676</loc>
  <lastmod>2026-04-23T20:20:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>XOR問題における損失地形の実像と経営的含意（The Loss Surface of XOR Artificial Neural Networks）</news:title>
   <news:publication_date>2026-04-23T20:20:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682674</loc>
  <lastmod>2026-04-23T20:19:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子機械学習におけるテンソルネットワーク状態の役割（Quantum Machine Learning Tensor Network States）</news:title>
   <news:publication_date>2026-04-23T20:19:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682672</loc>
  <lastmod>2026-04-23T20:18:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最小サポートベクターマシン（Minimal Support Vector Machine）</news:title>
   <news:publication_date>2026-04-23T20:18:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682670</loc>
  <lastmod>2026-04-23T20:18:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異分野画像照合と深層特徴マップ（Cross-Domain Image Matching with Deep Feature Maps）</news:title>
   <news:publication_date>2026-04-23T20:18:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682668</loc>
  <lastmod>2026-04-23T20:18:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドアール44の内部ワープが示す円盤の影（An inner warp in the DoAr 44 T Tauri transition disk）</news:title>
   <news:publication_date>2026-04-23T20:18:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682666</loc>
  <lastmod>2026-04-23T19:26:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>模擬ホログラフィック表示に基づくテレプレゼンスシステム (Telepresence System based on Simulated Holographic Display)</news:title>
   <news:publication_date>2026-04-23T19:26:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682664</loc>
  <lastmod>2026-04-23T19:26:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生画像から学ぶ合成的コミュニケーション（COMPOSITIONAL OBVERTER COMMUNICATION: LEARNING FROM RAW VISUAL INPUT）</news:title>
   <news:publication_date>2026-04-23T19:26:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682662</loc>
  <lastmod>2026-04-23T19:26:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>適応型三作用分割法（Adaptive Three Operator Splitting）</news:title>
   <news:publication_date>2026-04-23T19:26:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682660</loc>
  <lastmod>2026-04-23T19:24:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子によるマルコフ過程の高速化とグラフ性質検査の革新（Quantum Fast-Forwarding: Markov Chains and Graph Property Testing）</news:title>
   <news:publication_date>2026-04-23T19:24:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682658</loc>
  <lastmod>2026-04-23T19:24:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コンパクト構造を用いたスケーラブルな方策最適化（Structured Evolution with Compact Architectures for Scalable Policy Optimization）</news:title>
   <news:publication_date>2026-04-23T19:24:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682656</loc>
  <lastmod>2026-04-23T19:24:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダムピン留めによる理想ガラスの内部動力学の再考（Ideal glass states are not purely vibrational: Insight from randomly pinned glasses）</news:title>
   <news:publication_date>2026-04-23T19:24:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682654</loc>
  <lastmod>2026-04-23T19:24:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>チャネルモデル不要の通信システムのエンドツーエンド学習（End-to-End Learning of Communications Systems Without a Channel Model）</news:title>
   <news:publication_date>2026-04-23T19:24:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682652</loc>
  <lastmod>2026-04-23T18:32:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ReLU活性化関数をもつ深層ネットワークと線形スプライン型手法の比較（A comparison of deep networks with ReLU activation function and linear spline-type methods）</news:title>
   <news:publication_date>2026-04-23T18:32:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682650</loc>
  <lastmod>2026-04-23T18:31:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>適応的コスト感度オンライン分類の要点整理（Adaptive Cost-Sensitive Online Classification）</news:title>
   <news:publication_date>2026-04-23T18:31:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682648</loc>
  <lastmod>2026-04-23T18:30:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DNN音響モデルの系列学習における自然勾配最適化（SEQUENCE TRAINING OF DNN ACOUSTIC MODELS WITH NATURAL GRADIENT）</news:title>
   <news:publication_date>2026-04-23T18:30:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682646</loc>
  <lastmod>2026-04-23T18:30:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>車内でのスマホ使用検出アルゴリズムの解析と開発（Analysis and development of a novel algorithm for the in-vehicle hand-usage of a smartphone）</news:title>
   <news:publication_date>2026-04-23T18:30:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/682644</loc>
  <lastmod>2026-04-23T18:29:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マニフォールド構造を用いたCNN学習の実践法（Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning）</news:title>
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   <news:title>エンコーダ・デコーダの整合で未知の画像翻訳を可能にする手法（Mix and match networks: encoder-decoder alignment for zero-pair image translation）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>写真から建物の築年数を自動予測する方法（Automatic Prediction of Building Age from Photographs）</news:title>
   <news:publication_date>2026-04-23T18:29:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>注意を学習する仕組みの実務的意義（LEARN TO PAY ATTENTION）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>マグニチュードスペクトログラムからの信号再構成におけるGANアプローチ（GENERATIVE ADVERSARIAL NETWORK-BASED APPROACH TO SIGNAL RECONSTRUCTION FROM MAGNITUDE SPECTROGRAMS）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>単眼画像から生成するセマンティック占有グリッド地図（Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Encoder-Decoder Networks）</news:title>
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   <news:genres>Blog</news:genres>
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    <news:language>ja</news:language>
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   <news:title>有給オープンソース開発者の自動識別に向けて（Towards Automatically Identifying Paid Open Source Developers）</news:title>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>ロボットと感情を読み取る：音声感情認識の頑健性を高める研究（On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks）</news:title>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-04-23T17:36:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <lastmod>2026-04-23T16:45:07Z</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>機械学習ポテンシャルのための原子フィンガープリントと参照構成の自動選択（Automatic Selection of Atomic Fingerprints and Reference Configurations for Machine-Learning Potentials）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:publication>
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    <news:language>ja</news:language>
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   <news:title>文脈認識型データ集約とローカライズドラ情報プライバシー（Context-aware Data Aggregation with Localized Information Privacy）</news:title>
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   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-04-23T16:40:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>ロボットのカメラ位置に依存しない自己位置推定（Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images）</news:title>
   <news:publication_date>2026-04-23T16:40:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/682618</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>2026-04-23T16:39:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/682616</loc>
  <lastmod>2026-04-23T16:36:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-04-23T16:36:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/682614</loc>
  <lastmod>2026-04-23T16:36:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>短期シナプス可塑性の神経変調が情報処理に与える影響（Effect of Neuromodulation of Short-Term Plasticity on Information Processing in Hippocampal Interneuron Synapses）</news:title>
   <news:publication_date>2026-04-23T16:36:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/682612</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-04-23T15:44:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/682610</loc>
  <lastmod>2026-04-23T15:34:53Z</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>2026-04-23T15:34:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/682608</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:publication_date>2026-04-23T15:34:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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  <loc>https://aibr.jp/archives/682604</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>グラフ上の適応的拡散学習がもたらす実践的価値（Adaptive Diffusions for Scalable Learning over Graphs）</news:title>
   <news:publication_date>2026-04-23T15:33:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/682602</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/682600</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:genres>Blog</news:genres>
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