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   <news:title>ラットレス符号による分散行列ベクトル乗算の負荷均衡（Rateless Codes for Near-Perfect Load Balancing in Distributed Matrix-Vector Multiplication）</news:title>
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   <news:title>臨床向け音声データ拡張のための構音障害音声の合成（SIMULATING DYSARTHRIC SPEECH FOR TRAINING DATA AUGMENTATION IN CLINICAL SPEECH APPLICATIONS）</news:title>
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   <news:title>FPMビデオ再構築に対する深層学習アプローチ（Deep learning approach to Fourier ptychographic microscopy）</news:title>
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   <news:title>スケーラブルな二重線形π学習による特徴ベース強化学習（Scalable Bilinear π Learning Using State and Action Features）</news:title>
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   <news:title>分散差分プライバシー対応の行列・テンソル分解アルゴリズム（Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization）</news:title>
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   <news:title>高忠実度画像生成のためのVAEに対する敵対的訓練（Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation）</news:title>
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   <news:title>ネットワークの“部品移植”で学習を拡張する方法（Network Transplanting）</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>非定常環境モデル学習のための適応センシング（Adaptive Sensing for Learning Nonstationary Environment Models）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>盗聴者を含むプライベート情報検索の容量（The Capacity of Private Information Retrieval with Eavesdroppers）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>合成ゲージ場とフラットバンドを目指す光学格子の設計（Synthetic Gauge Fields for Lattices with Multi-Orbital Unit Cells: Routes towards a π-flux Dice Lattice with Flat Bands）</news:title>
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    <news:language>ja</news:language>
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   <news:title>線形オートエンコーダから主成分を取り出す方法（From Principal Subspaces to Principal Components with Linear Autoencoders）</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>計測上のスパース逆問題：条件付き勾配法と交換法の同値性（SPARSE INVERSE PROBLEMS OVER MEASURES: EQUIVALENCE OF THE CONDITIONAL GRADIENT AND EXCHANGE METHODS）</news:title>
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    <news:language>ja</news:language>
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   <news:title>Sparse Persistent RNNs：GPU上で大規模な再帰型ネットワークを効率化する手法（SPARSE PERSISTENT RNNS: SQUEEZING LARGE RECURRENT NETWORKS ON–CHIP）</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>心理療法対話のモデリング（Modeling Psychotherapy Dialogues with Kernelized Hashcode Representations）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>過パラメータ化ニューラルネットワークの損失ランドスケープ（The Loss Landscape of Overparameterized Neural Networks）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>ミリ波車載ネットワークにおけるビーム訓練とデータ伝送の最適化（Beam Training and Data Transmission Optimization in Millimeter-Wave Vehicular Networks）</news:title>
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   <news:title>AbuSniffによるFacebook友人の悪用検出と防御（AbuSniff: Automatic Detection and Defenses Against Abusive Facebook Friends）</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>fMRIデータの前処理と分類の実用手法（FMRI: PREPROCESSING, CLASSIFICATION AND PATTERN RECOGNITION）</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>少量データでの転移学習におけるカプセルネットワーク（Capsule networks for low-data transfer learning）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:title>神経画像に基づくバイオマーカー発見のための機械学習パイプライン（Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry）</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>欠損値に強い決定木BEST（A decision tree algorithm that handles missing values）</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>Scalable PANFIS による RFID ローカリゼーションのためのビッグデータ解析（Big Data Analytic based on Scalable PANFIS for RFID Localization）</news:title>
   <news:publication_date>2026-04-29T21:48:15Z</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>DetTAパイプラインによる人物検出・追跡と分析の統合（Detection-Tracking for Efficient Person Analysis: The DetTA Pipeline）</news:title>
   <news:publication_date>2026-04-29T20:56:27Z</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>生音声からの声帯閉鎖時刻検出（Detection of Glottal Closure Instants from Raw Speech using Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-04-29T20:56:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散勾配降下法の耐攻撃性確保（Securing Distributed Gradient Descent in High Dimensional Statistical Learning）</news:title>
   <news:publication_date>2026-04-29T20:55:39Z</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>反復・適応型モバイルニューラルネットワーク（IAMNN: Iterative And Adaptive Mobile Neural Network for Efficient Image Classification）</news:title>
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   <news:genres>Blog</news:genres>
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   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>人間拡張科学の包括的入門（An Integrative Introduction to Human Augmentation Science）</news:title>
   <news:publication_date>2026-04-29T20:54:16Z</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>Quantized Compressive K-Means（Quantized Compressive K-Means）</news:title>
   <news:publication_date>2026-04-29T20:54:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>軌道起因の量子磁性とスピンダイナミクス（Orbital quantum magnetism in spin dynamics of strongly interacting magnetic lanthanide atoms）</news:title>
   <news:publication_date>2026-04-29T20:50:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/684824</loc>
  <lastmod>2026-04-29T19:58:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テキスト非依存スピーカー認識における深層スピーカー埋め込みの進展（On deep speaker embeddings for text-independent speaker recognition）</news:title>
   <news:publication_date>2026-04-29T19:58:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684822</loc>
  <lastmod>2026-04-29T19:57:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復位相再構成を通じたエンドツーエンド音声分離（End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction）</news:title>
   <news:publication_date>2026-04-29T19:57:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684820</loc>
  <lastmod>2026-04-29T19:56:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数の自己教師あり学習タスクからの知識転移を高速化するグラフ蒸留（Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification）</news:title>
   <news:publication_date>2026-04-29T19:56:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684818</loc>
  <lastmod>2026-04-29T19:56:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GANによる視覚データ合成を用いたゼロショット動画分類（Visual Data Synthesis via GAN for Zero-Shot Video Classification）</news:title>
   <news:publication_date>2026-04-29T19:56:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684816</loc>
  <lastmod>2026-04-29T19:54:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中間赤方偏移における明るくコンパクトなバルジ（Bright Compact Bulges at intermediate redshifts）</news:title>
   <news:publication_date>2026-04-29T19:54:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684814</loc>
  <lastmod>2026-04-29T19:53:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機械学習で円筒代数分解を賢くする（Using Machine Learning to Improve Cylindrical Algebraic Decomposition）</news:title>
   <news:publication_date>2026-04-29T19:53:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684812</loc>
  <lastmod>2026-04-29T19:52:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>弱ラベル音響イベント検出の適応プーリング（Adaptive pooling operators for weakly labeled sound event detection）</news:title>
   <news:publication_date>2026-04-29T19:52:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684810</loc>
  <lastmod>2026-04-29T19:00:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>OCT体積画像からの力推定（Force Estimation from OCT Volumes using 3D CNNs）</news:title>
   <news:publication_date>2026-04-29T19:00:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684808</loc>
  <lastmod>2026-04-29T19:00:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人体動作ビデオにおける深層キーフレーム検出（Deep Keyframe Detection in Human Action Videos）</news:title>
   <news:publication_date>2026-04-29T19:00:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684806</loc>
  <lastmod>2026-04-29T19:00:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複数ネットワーク整列のスケーラブルで高精度な手法（MPGM: Scalable and Accurate Multiple Network Alignment）</news:title>
   <news:publication_date>2026-04-29T19:00:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684804</loc>
  <lastmod>2026-04-29T18:59:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>予算付きネットワーク負荷下での分散学習とガウスコピュラを用いた分類器アンサンブル（Decentralized learning with budgeted network load using Gaussian copulas and classifier ensembles）</news:title>
   <news:publication_date>2026-04-29T18:59:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684802</loc>
  <lastmod>2026-04-29T18:57:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>拡張垂直リストを用いた時間的パターン探索（Extended Vertical Lists for Temporal Pattern Mining from Multivariate Time Series）</news:title>
   <news:publication_date>2026-04-29T18:57:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684800</loc>
  <lastmod>2026-04-29T18:03:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>コラボレーティブインテリジェンス向け深層特徴の準ロスレス圧縮（Near-Lossless Deep Feature Compression for Collaborative Intelligence）</news:title>
   <news:publication_date>2026-04-29T18:03:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684798</loc>
  <lastmod>2026-04-29T18:03:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パーソナルクローゼットからのコーデ推薦（Recommending Outfits from Personal Closet）</news:title>
   <news:publication_date>2026-04-29T18:03:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684796</loc>
  <lastmod>2026-04-29T18:02:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リモートケアアプリケーションの設計と実装（Design and Implementation of a Remote Care Application Based on Microservice Architecture）</news:title>
   <news:publication_date>2026-04-29T18:02:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684794</loc>
  <lastmod>2026-04-29T17:56:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>位置情報を明かさずに使うジオフェンシング：NEXUS（NEXUS: Using Geo-fencing Services without revealing your Location）</news:title>
   <news:publication_date>2026-04-29T17:56:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684792</loc>
  <lastmod>2026-04-29T17:56:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サインフル・ランダム射影の実務的意義（Sign-Full Random Projections）</news:title>
   <news:publication_date>2026-04-29T17:56:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684790</loc>
  <lastmod>2026-04-29T17:56:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教員養成における数学学習のコミュニケーション（Communication of Prospective Teachers with Students in Mathematics Learning at Senior High School (SMA)）</news:title>
   <news:publication_date>2026-04-29T17:56:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684788</loc>
  <lastmod>2026-04-29T17:56:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視聴数予測に注意を向ける：注意機構でソーシャル動画の人気を可視化する（Pay Attention to Virality: understanding popularity of social media videos with the attention mechanism）</news:title>
   <news:publication_date>2026-04-29T17:56:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684786</loc>
  <lastmod>2026-04-29T16:59:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LiDARベースのセマンティックラベリングを大幅に改善する自動クロスモーダルトレーニング（Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation）</news:title>
   <news:publication_date>2026-04-29T16:59:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684784</loc>
  <lastmod>2026-04-29T16:58:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所文脈とコーパス全体の一貫性を統合するOpen情報抽出（Integrating Local Context and Global Cohesiveness for Open Information Extraction）</news:title>
   <news:publication_date>2026-04-29T16:58:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684782</loc>
  <lastmod>2026-04-29T16:54:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>会話を通じた一回教授型視覚概念学習（Interactive Language Acquisition with One-shot Visual Concept Learning）</news:title>
   <news:publication_date>2026-04-29T16:54:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684780</loc>
  <lastmod>2026-04-29T16:54:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>都市居住者の出自認識を部分的監督学習で行うCD-CNN（CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition）</news:title>
   <news:publication_date>2026-04-29T16:54:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684778</loc>
  <lastmod>2026-04-29T16:53:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ランダムフーリエ特徴に基づくカーネルリッジ回帰の近似保証（Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees）</news:title>
   <news:publication_date>2026-04-29T16:53:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684776</loc>
  <lastmod>2026-04-29T16:52:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高次元ペナルティ選択のためのMDL原理（High-dimensional Penalty Selection via Minimum Description Length Principle）</news:title>
   <news:publication_date>2026-04-29T16:52:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684774</loc>
  <lastmod>2026-04-29T16:51:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>iTeleScopeによるリアルタイム動画フロー可視化と分類（iTeleScope: Intelligent Video Telemetry and Classification in Real-Time using Software Defined Networking）</news:title>
   <news:publication_date>2026-04-29T16:51:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684772</loc>
  <lastmod>2026-04-29T15:58:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モバイル偽造アプリ検出のためのニューラル埋め込みアプローチ (A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps)</news:title>
   <news:publication_date>2026-04-29T15:58:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684770</loc>
  <lastmod>2026-04-29T15:57:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グループ零ノルム正則化回帰の計算法と実用的意義（GEP-MSCRA for computing the group zero-norm regularized least squares estimator）</news:title>
   <news:publication_date>2026-04-29T15:57:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684768</loc>
  <lastmod>2026-04-29T15:57:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ソーシャルネットワークの融合とマイニング（Social Network Fusion and Mining: A Survey）</news:title>
   <news:publication_date>2026-04-29T15:57:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684766</loc>
  <lastmod>2026-04-29T15:52:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>神経外科イメージングにおけるセラノスティクスの展望（Prospects for Theranostics in Neurosurgical Imaging）</news:title>
   <news:publication_date>2026-04-29T15:52:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684764</loc>
  <lastmod>2026-04-29T15:52:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ビデオ圧縮のための学習（Learning for Video Compression）</news:title>
   <news:publication_date>2026-04-29T15:52:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684762</loc>
  <lastmod>2026-04-29T15:52:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>競合学習がCNNを速くする理由（Competitive Learning Enriches Learning Representation and Accelerates the Fine-tuning of CNNs）</news:title>
   <news:publication_date>2026-04-29T15:52:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684760</loc>
  <lastmod>2026-04-29T15:51:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アクセラレータを意識したニューラルネットワーク剪定（Accelerator-Aware Pruning for Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-04-29T15:51:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684758</loc>
  <lastmod>2026-04-29T14:57:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異種推論のための生成モデル（Generative Model for Heterogeneous Inference）</news:title>
   <news:publication_date>2026-04-29T14:57:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684756</loc>
  <lastmod>2026-04-29T14:57:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>反復タスクのための適応型モデル予測制御（Adaptive MPC for Iterative Tasks）</news:title>
   <news:publication_date>2026-04-29T14:57:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684754</loc>
  <lastmod>2026-04-29T14:56:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Action-Category Representationによるタスク学習と計画の高速化（Action Categorization for Computationally Improved Task Learning and Planning）</news:title>
   <news:publication_date>2026-04-29T14:56:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684752</loc>
  <lastmod>2026-04-29T14:52:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単一対物レンズで深部を高速撮像するSOPi顕微鏡の展望（Integrated one- and two-photon scanned oblique plane illumination (SOPi) microscopy for rapid volumetric imaging）</news:title>
   <news:publication_date>2026-04-29T14:52:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684750</loc>
  <lastmod>2026-04-29T14:52:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ駆動強化学習による広域スパース制御の要点解説（Sparse Wide-Area Control of Power Systems using Data-driven Reinforcement Learning）</news:title>
   <news:publication_date>2026-04-29T14:52:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684748</loc>
  <lastmod>2026-04-29T14:50:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>エンドツーエンド多モーダル音声認識（END-TO-END MULTIMODAL SPEECH RECOGNITION）</news:title>
   <news:publication_date>2026-04-29T14:50:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684746</loc>
  <lastmod>2026-04-29T14:49:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率密度で階層を学ぶ表現――Density Order Embeddings（Hierarchical Density Order Embeddings）</news:title>
   <news:publication_date>2026-04-29T14:49:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684744</loc>
  <lastmod>2026-04-29T13:55:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HIVウイルス量データからの時系列クラスタ化とセントロイド要約法（Revealing patterns in HIV viral load data and classifying patients via a novel machine learning cluster summarization method）</news:title>
   <news:publication_date>2026-04-29T13:55:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684742</loc>
  <lastmod>2026-04-29T13:53:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Multiagent Soft Q-Learningによる連携最適化（Multiagent Soft Q-Learning）</news:title>
   <news:publication_date>2026-04-29T13:53:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684740</loc>
  <lastmod>2026-04-29T13:52:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラプラシアン固有関数の双対的幾何学（On the Dual Geometry of Laplacian Eigenfunctions）</news:title>
   <news:publication_date>2026-04-29T13:52:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684738</loc>
  <lastmod>2026-04-29T13:49:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ジャンルをつなぐ音楽生成─深層学習によるジャンル間補間（Off the Beaten Track: Using Deep Learning to Interpolate Between Music Genres）</news:title>
   <news:publication_date>2026-04-29T13:49:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684736</loc>
  <lastmod>2026-04-29T13:47:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HG-meansによるMSSCの解法とその実務的意義（HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering）</news:title>
   <news:publication_date>2026-04-29T13:47:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684734</loc>
  <lastmod>2026-04-29T13:46:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インテリジェントICU — 自律的患者モニタリングのための人工知能技術（The Intelligent ICU: Using Artificial Intelligence Technology for Autonomous Patient Monitoring）</news:title>
   <news:publication_date>2026-04-29T13:46:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684731</loc>
  <lastmod>2026-04-29T12:54:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像分類のための漸進的ニューラルネットワーク（Progressive Neural Networks for Image Classification）</news:title>
   <news:publication_date>2026-04-29T12:54:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684729</loc>
  <lastmod>2026-04-29T12:39:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多層スパースコーディングの包括的追求（Multi-Layer Sparse Coding: The Holistic Way）</news:title>
   <news:publication_date>2026-04-29T12:39:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684727</loc>
  <lastmod>2026-04-29T12:37:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スパイク列からの非線形ベイズ復号に向けた粒子フィルタ手法（Particle-filtering approaches for nonlinear Bayesian decoding of neuronal spike trains）</news:title>
   <news:publication_date>2026-04-29T12:37:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684725</loc>
  <lastmod>2026-04-29T12:37:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>相関するエルデシュ・レーニーグラフの整列に関する標準的ラベリングアルゴリズムの解析（Analysis of a Canonical Labeling Algorithm for the Alignment of Correlated Erdős–Rényi Graphs）</news:title>
   <news:publication_date>2026-04-29T12:37:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684723</loc>
  <lastmod>2026-04-29T12:37:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高次元ロジスティック回帰における最尤推定量存在の相転移（The Phase Transition for the Existence of the Maximum Likelihood Estimate in High-dimensional Logistic Regression）</news:title>
   <news:publication_date>2026-04-29T12:37:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684721</loc>
  <lastmod>2026-04-29T12:36:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>RULLSによるロバストな特徴量生成（RULLS: Randomized Union of Locally Linear Subspaces for Feature Engineering）</news:title>
   <news:publication_date>2026-04-29T12:36:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684719</loc>
  <lastmod>2026-04-29T12:33:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>グラフにおける一意最短経路の構造（On the Structure of Unique Shortest Paths in Graphs）</news:title>
   <news:publication_date>2026-04-29T12:33:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684717</loc>
  <lastmod>2026-04-29T11:41:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Junipr：粒子物理における教師なし学習の枠組み（JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics）</news:title>
   <news:publication_date>2026-04-29T11:41:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684715</loc>
  <lastmod>2026-04-29T11:39:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ReLUネットワークの認証付きロバストネスを高速に算出する手法（Towards Fast Computation of Certified Robustness for ReLU Networks）</news:title>
   <news:publication_date>2026-04-29T11:39:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684713</loc>
  <lastmod>2026-04-29T11:36:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高速な視点合成を実現する深いステレオ視（Fast View Synthesis with Deep Stereo Vision）</news:title>
   <news:publication_date>2026-04-29T11:36:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684711</loc>
  <lastmod>2026-04-29T11:35:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D-PhysNet：非剛体物体変形の直感的物理学を学ぶ（3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations）</news:title>
   <news:publication_date>2026-04-29T11:35:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684709</loc>
  <lastmod>2026-04-29T11:34:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>監視映像における顔認識の挑戦とベンチマーク提案（Surveillance Face Recognition Challenge）</news:title>
   <news:publication_date>2026-04-29T11:34:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684707</loc>
  <lastmod>2026-04-29T11:31:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Geometric Prototypeとその応用（On Geometric Prototype and Applications）</news:title>
   <news:publication_date>2026-04-29T11:31:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684705</loc>
  <lastmod>2026-04-29T11:30:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データサイエンティストのための量子機械学習（Quantum machine learning for data scientists）</news:title>
   <news:publication_date>2026-04-29T11:30:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684703</loc>
  <lastmod>2026-04-29T10:38:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非凸・非滑らか最適化問題に対する収束保証の体系化（Convergence guarantees for a class of non-convex and non-smooth optimization problems）</news:title>
   <news:publication_date>2026-04-29T10:38:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684701</loc>
  <lastmod>2026-04-29T10:37:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>EXO-200における深層学習によるエネルギー・位置再構成（Deep Neural Networks for Energy and Position Reconstruction in EXO-200）</news:title>
   <news:publication_date>2026-04-29T10:37:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684699</loc>
  <lastmod>2026-04-29T10:34:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一人称と三人称の映像を共に学ぶ（Actor and Observer: Joint Modeling of First and Third-Person Videos）</news:title>
   <news:publication_date>2026-04-29T10:34:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684697</loc>
  <lastmod>2026-04-29T10:33:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ストリーミングテンソル分解における概念ドリフトの検出と緩和（Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition）</news:title>
   <news:publication_date>2026-04-29T10:33:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684695</loc>
  <lastmod>2026-04-29T10:33:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リプレゼンタ定理はいつ成立するか（When is there a Representer Theorem?）</news:title>
   <news:publication_date>2026-04-29T10:33:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684693</loc>
  <lastmod>2026-04-29T10:33:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>t-DCFによるASVとスプーフィング対策の統合評価（t-DCF: a Detection Cost Function for the Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verification）</news:title>
   <news:publication_date>2026-04-29T10:33:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684691</loc>
  <lastmod>2026-04-29T10:31:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>疎ラベル伝播の計算複雑性（ON THE COMPLEXITY OF SPARSE LABEL PROPAGATION）</news:title>
   <news:publication_date>2026-04-29T10:31:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684689</loc>
  <lastmod>2026-04-29T09:38:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>声帯励起のための話者非依存波形モデル（Speaker-independent raw waveform model for glottal excitation）</news:title>
   <news:publication_date>2026-04-29T09:38:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684687</loc>
  <lastmod>2026-04-29T09:38:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>赤色巨星の質量・年齢・距離推定に対するBayesian ANNアプローチ（MADE: A spectroscopic Mass, Age, and Distance Estimator for red giant stars with Bayesian machine learning）</news:title>
   <news:publication_date>2026-04-29T09:38:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684685</loc>
  <lastmod>2026-04-29T09:38:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>敵対的残差変換ネットワークによる非教師ありドメイン適応（Unsupervised Domain Adaptation with Adversarial Residual Transform Networks）</news:title>
   <news:publication_date>2026-04-29T09:38:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684683</loc>
  <lastmod>2026-04-29T09:35:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドメイン壁のクリープ挙動における間欠的集団ダイナミクス（Intermittent collective dynamics of domain walls in the creep regime）</news:title>
   <news:publication_date>2026-04-29T09:35:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684681</loc>
  <lastmod>2026-04-29T09:34:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マラリア顕微鏡画像に対するFaster R-CNNの適用（Applying Faster R-CNN for Object Detection on Malaria Images）</news:title>
   <news:publication_date>2026-04-29T09:34:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684679</loc>
  <lastmod>2026-04-29T09:34:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Cross-media Relation Attention Networkによるマルチレベル整合（Cross-media Multi-level Alignment with Relation Attention Network）</news:title>
   <news:publication_date>2026-04-29T09:34:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684677</loc>
  <lastmod>2026-04-29T09:34:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>対称双線形回帰による信号サブグラフ推定（Symmetric Bilinear Regression for Signal Subgraph Estimation）</news:title>
   <news:publication_date>2026-04-29T09:34:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684675</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単眼RGB画像からの手の3D姿勢推定──潜在2.5Dヒートマップ回帰によるアプローチ (Hand Pose Estimation via Latent 2.5D Heatmap Regression)</news:title>
   <news:publication_date>2026-04-29T08:39:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684673</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>ドメインシフト下におけるニューラル半教師あり学習の強力なベースライン（Strong Baselines for Neural Semi-supervised Learning under Domain Shift）</news:title>
   <news:publication_date>2026-04-29T08:37:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684671</loc>
  <lastmod>2026-04-29T08:36:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>畳み込みオートエンコーダによる可逆ではない画像圧縮（Deep Convolutional AutoEncoder-based Lossy Image Compression）</news:title>
   <news:publication_date>2026-04-29T08:36:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684669</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>アナロジーによる教師なし解きほぐし表現学習（Unsupervised Disentangled Representation Learning with Analogical Relations）</news:title>
   <news:publication_date>2026-04-29T08:34:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684667</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>低ランク時周波数合成による推定（Estimation with Low-Rank Time-Frequency Synthesis Models）</news:title>
   <news:publication_date>2026-04-29T08:34:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684665</loc>
  <lastmod>2026-04-29T08:34:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>推定共分散行列からのスペクトル復元と機械学習向け統計カーネルの応用（Recovery of spectrum from estimated covariance matrices and statistical kernels for machine learning and big data）</news:title>
   <news:publication_date>2026-04-29T08:34:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684663</loc>
  <lastmod>2026-04-29T08:33:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>COMPASSによる偏極Drell–Yanの結果（Polarised Drell-Yan results from COMPASS）</news:title>
   <news:publication_date>2026-04-29T08:33:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684661</loc>
  <lastmod>2026-04-29T07:40:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>段階的正則化による畳み込みネットワークの構造的剪定（Structured Pruning for Efficient ConvNets via Incremental Regularization）</news:title>
   <news:publication_date>2026-04-29T07:40:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684659</loc>
  <lastmod>2026-04-29T07:34:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>弱教師あり物体検出のジグザグ学習（Zigzag Learning for Weakly Supervised Object Detection）</news:title>
   <news:publication_date>2026-04-29T07:34:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684657</loc>
  <lastmod>2026-04-29T07:33:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的少数ショット視覚学習と忘却の防止（Dynamic Few-Shot Visual Learning without Forgetting）</news:title>
   <news:publication_date>2026-04-29T07:33:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684655</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>2026-04-29T07:28:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684653</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>2026-04-29T07:27:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684651</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>弱教師あり学習による特徴局在化と手術用画像支援（Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images）</news:title>
   <news:publication_date>2026-04-29T07:26:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684649</loc>
  <lastmod>2026-04-29T07:26:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分割線形基底関数による安定学習の考察（Notes on stable learning with piecewise-linear basis functions）</news:title>
   <news:publication_date>2026-04-29T07:26:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684647</loc>
  <lastmod>2026-04-29T06:29:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重力波から探る中性子星の星震学（Astroseismology of neutron stars from gravitational waves in the limit of perfect measurement）</news:title>
   <news:publication_date>2026-04-29T06:29:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684645</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>Seq2Seqモデルの可視化によるデバッグ手法の実務的理解（SEQ2SEQ-VIS : A Visual Debugging Tool for Sequence-to-Sequence Models）</news:title>
   <news:publication_date>2026-04-29T06:28:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684643</loc>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684641</loc>
  <lastmod>2026-04-29T06:24:56Z</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>2026-04-29T06:24:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684639</loc>
  <lastmod>2026-04-29T06:24:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>心臓MRIの3D一貫性を担保する空間伝播型深層学習（3D Consistent &amp;amp; Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation）</news:title>
   <news:publication_date>2026-04-29T06:24:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684637</loc>
  <lastmod>2026-04-29T06:24:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>資産リターン予測のための深層学習（Deep Learning for Predicting Asset Returns）</news:title>
   <news:publication_date>2026-04-29T06:24:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684635</loc>
  <lastmod>2026-04-29T06:22:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低ランク表現に基づく多焦点ノイズ画像融合（Multi-focus Noisy Image Fusion using Low-Rank Representation）</news:title>
   <news:publication_date>2026-04-29T06:22:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模MIMOにおけるチャネル推定とユーザ群分けの同時処理（Joint Channel Estimation and User Grouping for Massive MIMO Systems）</news:title>
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   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習に基づく音響モデルの近年の進展（Recent Progresses in Deep Learning based Acoustic Models）</news:title>
   <news:publication_date>2026-04-29T05:22:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684629</loc>
  <lastmod>2026-04-29T05:22:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>弱ラベル学習による音声イベント検出の再考（A Closer Look at Weak Label Learning for Audio Events）</news:title>
   <news:publication_date>2026-04-29T05:22:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684627</loc>
  <lastmod>2026-04-29T05:22:02Z</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>2026-04-29T05:22:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684625</loc>
  <lastmod>2026-04-29T05:21:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3Dセグメント記述子を学習して場所認識を行う（Learning 3D Segment Descriptors for Place Recognition）</news:title>
   <news:publication_date>2026-04-29T05:21:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684623</loc>
  <lastmod>2026-04-29T05:21:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>光と物質の超強結合の最前線（Ultrastrong coupling regimes of light-matter interaction）</news:title>
   <news:publication_date>2026-04-29T05:21:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684621</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>2026-04-29T05:19:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684619</loc>
  <lastmod>2026-04-29T04:24:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>宣言的に定義されたエントロピー制約による半教師あり学習（Semi-Supervised Learning with Declaratively Specified Entropy Constraints）</news:title>
   <news:publication_date>2026-04-29T04:24:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684617</loc>
  <lastmod>2026-04-29T04:24:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>常識知識の発掘は知識ベース補完か？新規性の影響に関する研究（Commonsense mining as knowledge base completion? A study on the impact of novelty）</news:title>
   <news:publication_date>2026-04-29T04:24:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684615</loc>
  <lastmod>2026-04-29T04:21:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepTriangleによる保険支払準備金の予測革新（DeepTriangle: A Deep Learning Approach to Loss Reserving）</news:title>
   <news:publication_date>2026-04-29T04:21:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684613</loc>
  <lastmod>2026-04-29T04:19:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タスク細粒度が転移学習にもたらす効果（On the Effectiveness of Task Granularity for Transfer Learning）</news:title>
   <news:publication_date>2026-04-29T04:19:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/684611</loc>
  <lastmod>2026-04-29T04:18:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>産業界への対話型探索ベースソフトウェアテストの移転（Transferring Interactive Search-Based Software Testing to Industry）</news:title>
   <news:publication_date>2026-04-29T04:18:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不均衡ネットワーク表現学習の新手法と実務への示唆（ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation）</news:title>
   <news:publication_date>2026-04-29T04:18:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スパース符号化によるイベント駆動型カメラの時系列学習（A Sparse Coding Multi-Scale Precise-Timing Machine Learning Algorithm for Neuromorphic Event-Based Sensors）</news:title>
   <news:publication_date>2026-04-29T04:18:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684605</loc>
  <lastmod>2026-04-29T03:21:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>欠測サンプルから学ぶスパース辞書学習（On Learning Sparsely Used Dictionaries from Incomplete Samples）</news:title>
   <news:publication_date>2026-04-29T03:21:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684603</loc>
  <lastmod>2026-04-29T03:20:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パッチベースCNNによるボーカル旋律抽出（VOCAL MELODY EXTRACTION USING PATCH-BASED CNN）</news:title>
   <news:publication_date>2026-04-29T03:20:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684601</loc>
  <lastmod>2026-04-29T03:18:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>マウス臓器の自動セグメンテーション（Automated Mouse Organ Segmentation: A Deep Learning Based Solution）</news:title>
   <news:publication_date>2026-04-29T03:18:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684599</loc>
  <lastmod>2026-04-29T03:15:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アベール1758における二重ラジオハローの発見（LOFAR discovery of a double radio halo system in Abell 1758）</news:title>
   <news:publication_date>2026-04-29T03:15:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684597</loc>
  <lastmod>2026-04-29T03:15:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>評価指標の罠を乗り越える報酬学習——視覚ストーリーテリングにおける敵対的報酬学習（Adversarial Reward Learning for Visual Storytelling）</news:title>
   <news:publication_date>2026-04-29T03:15:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684595</loc>
  <lastmod>2026-04-29T03:15:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GANを使ったDOOMレベル生成の可能性（DOOM Level Generation using Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-04-29T03:15:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684593</loc>
  <lastmod>2026-04-29T03:14:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>現実的な半教師あり学習の評価法（Realistic Evaluation of Deep Semi-Supervised Learning Algorithms）</news:title>
   <news:publication_date>2026-04-29T03:14:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684591</loc>
  <lastmod>2026-04-29T02:19:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>医学文献における有害事象検出の自動化（Automated Detection of Adverse Drug Reactions in the Biomedical Literature Using Convolutional Neural Networks and Biomedical Word Embeddings）</news:title>
   <news:publication_date>2026-04-29T02:19:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684589</loc>
  <lastmod>2026-04-29T02:18:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>殻越えを超えた構造形成（Structure formation beyond shell-crossing: nonperturbative expansions and late-time attractors）</news:title>
   <news:publication_date>2026-04-29T02:18:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684587</loc>
  <lastmod>2026-04-29T02:17:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模イベント埋め込みと再帰型ネットワークによるネイティブ広告CTR予測の改善（Improving Native Ads CTR Prediction by Large Scale Event Embedding and Recurrent Networks）</news:title>
   <news:publication_date>2026-04-29T02:17:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684585</loc>
  <lastmod>2026-04-29T02:16:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子版生成的敵対ネットワークの提案（Quantum generative adversarial learning）</news:title>
   <news:publication_date>2026-04-29T02:16:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684583</loc>
  <lastmod>2026-04-29T02:10:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PULP‑HD：低消費電力並列プラットフォーム上での高次元計算の加速（PULP‑HD: Accelerating Brain‑Inspired High‑Dimensional Computing on a Parallel Ultra‑Low Power Platform）</news:title>
   <news:publication_date>2026-04-29T02:10:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684581</loc>
  <lastmod>2026-04-29T02:09:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>現実と合わない深度認識を埋める手法（Keep it Unreal: Bridging the Realism Gap for 2.5D Recognition with Geometry Priors Only）</news:title>
   <news:publication_date>2026-04-29T02:09:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684579</loc>
  <lastmod>2026-04-29T02:08:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Seer: 大規模トレースデータでクラウドデバッグの複雑さを切り拓く（Seer: Leveraging Big Data to Navigate The Increasing Complexity of Cloud Debugging）</news:title>
   <news:publication_date>2026-04-29T02:08:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684577</loc>
  <lastmod>2026-04-29T01:14:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>WordNetに視覚的類似度を導入する試み（A Visual Distance for WordNet）</news:title>
   <news:publication_date>2026-04-29T01:14:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684575</loc>
  <lastmod>2026-04-29T01:14:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>少ないラベルで偽情報を見抜く半教師ありテンソル埋め込み法（Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings）</news:title>
   <news:publication_date>2026-04-29T01:14:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684573</loc>
  <lastmod>2026-04-29T01:14:01Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>胎児頭部バイオメトリクスの自動化で人間レベルを達成する手法（Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-04-29T01:14:01Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684571</loc>
  <lastmod>2026-04-29T01:12:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>過渡的理想係数で読み解くペロブスカイト太陽電池の再結合機構（Identifying dominant recombination mechanisms in perovskite solar cells by measuring the transient ideality factor）</news:title>
   <news:publication_date>2026-04-29T01:12:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684569</loc>
  <lastmod>2026-04-29T01:12:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習の情報理論的考察（An Information-Theoretic View for Deep Learning）</news:title>
   <news:publication_date>2026-04-29T01:12:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684567</loc>
  <lastmod>2026-04-29T01:12:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>効率的な多目的ニューラルアーキテクチャ探索におけるラマルキアン進化（Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution）</news:title>
   <news:publication_date>2026-04-29T01:12:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684565</loc>
  <lastmod>2026-04-29T01:12:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>北極域の磁場トポロジー（Magnetic topology of the north solar pole）</news:title>
   <news:publication_date>2026-04-29T01:12:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684563</loc>
  <lastmod>2026-04-29T00:20:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ラベル認識型二重転移学習による診療科横断の医療固有表現抽出（Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition）</news:title>
   <news:publication_date>2026-04-29T00:20:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684561</loc>
  <lastmod>2026-04-29T00:14:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>VNIRハイパースペクトルによる土壌水分推定の機械学習フレームワークの構築 (Developing a Machine Learning Framework for Estimating Soil Moisture with VNIR Hyperspectral Data)</news:title>
   <news:publication_date>2026-04-29T00:14:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684559</loc>
  <lastmod>2026-04-29T00:13:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的条件付き勾配法：凸最小化から準モジュラ最大化へ（Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization）</news:title>
   <news:publication_date>2026-04-29T00:13:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684557</loc>
  <lastmod>2026-04-29T00:12:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>既存アプリケーションと深層ニューラルネットワークの統合手法：Estimate and Replace（Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications）</news:title>
   <news:publication_date>2026-04-29T00:12:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684555</loc>
  <lastmod>2026-04-29T00:12:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スマートフォン向け隠れマルコフモデルと識別的アンサンブル学習による部屋認識（Room Recognition Using Discriminative Ensemble Learning with Hidden Markov Models for Smartphones）</news:title>
   <news:publication_date>2026-04-29T00:12:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684553</loc>
  <lastmod>2026-04-29T00:11:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スキルミオン結晶モデルによる核物質の磁場効果（Magnetic field effect on nuclear matter from skyrmion crystal model）</news:title>
   <news:publication_date>2026-04-29T00:11:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684551</loc>
  <lastmod>2026-04-29T00:11:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>あらゆるモノの認証を環境で補強する（Authentication of Everything in the Internet of Things: Learning and Environmental Effects）</news:title>
   <news:publication_date>2026-04-29T00:11:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684549</loc>
  <lastmod>2026-04-28T23:18:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>バックトランスレーションによる文体転換（Style Transfer Through Back-Translation）</news:title>
   <news:publication_date>2026-04-28T23:18:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684547</loc>
  <lastmod>2026-04-28T23:18:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>一般集合と測度に対する率-歪み理論（Rate-Distortion Theory for General Sets and Measures）</news:title>
   <news:publication_date>2026-04-28T23:18:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684545</loc>
  <lastmod>2026-04-28T23:18:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>基本および多層Echo State Network再帰オートエンコーダの起源（Genesis of Basic and Multi-Layer Echo State Network Recurrent Autoencoder for Efficient Data Representations）</news:title>
   <news:publication_date>2026-04-28T23:18:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684543</loc>
  <lastmod>2026-04-28T23:16:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>発射管制の音声認識を劇的に改善する手法（Automatic speech recognition for launch control center communication using recurrent neural networks with data augmentation and custom language model）</news:title>
   <news:publication_date>2026-04-28T23:16:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684541</loc>
  <lastmod>2026-04-28T23:16:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ロボット操作空間を高速に推定する深層サブスペース学習（Deep Neural Network Based Subspace Learning of Robotic Manipulator Workspace Mapping）</news:title>
   <news:publication_date>2026-04-28T23:16:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684539</loc>
  <lastmod>2026-04-28T23:16:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>相関フィルタにおける識別性と信頼性の同時学習（Correlation Tracking via Joint Discrimination and Reliability Learning）</news:title>
   <news:publication_date>2026-04-28T23:16:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684537</loc>
  <lastmod>2026-04-28T23:15:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スケッチで顔を直感的に編集する技術（FaceShop: Deep Sketch-based Face Image Editing）</news:title>
   <news:publication_date>2026-04-28T23:15:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684535</loc>
  <lastmod>2026-04-28T22:23:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>未知の確率遷移下での平均報酬最適化とω-正規制約（Learning-Based Mean-Payoff Optimization in an Unknown MDP under Omega-Regular Constraints）</news:title>
   <news:publication_date>2026-04-28T22:23:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684533</loc>
  <lastmod>2026-04-28T22:14:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Fortranから使える粒子シミュレーション基盤の橋渡し（Fortran Interface to FDPS）</news:title>
   <news:publication_date>2026-04-28T22:14:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684531</loc>
  <lastmod>2026-04-28T22:14:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アウトライヤー分類と自己符号化器による境界層プラズマ解析（Outlier classification using Autoencoders: application for fluctuation driven flows in fusion plasmas）</news:title>
   <news:publication_date>2026-04-28T22:14:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684529</loc>
  <lastmod>2026-04-28T22:11:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>論理断片の被覆と分離におけるモジュラ述語の役割（COVERING AND SEPARATION FOR LOGICAL FRAGMENTS WITH MODULAR PREDICATES）</news:title>
   <news:publication_date>2026-04-28T22:11:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684527</loc>
  <lastmod>2026-04-28T22:11:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>道路表面分類に対する深層畳み込みニューラルネットワークの評価 (Assessment of Deep Convolutional Neural Networks for Road Surface Classification)</news:title>
   <news:publication_date>2026-04-28T22:11:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684525</loc>
  <lastmod>2026-04-28T22:11:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インストール試行によるソフトウェア制約の学習（Learning Software Constraints via Installation Attempts）</news:title>
   <news:publication_date>2026-04-28T22:11:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684523</loc>
  <lastmod>2026-04-28T22:11:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習スケジュールによるマルチタスク学習（Scheduled Multi-Task Learning: From Syntax to Translation）</news:title>
   <news:publication_date>2026-04-28T22:11:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684521</loc>
  <lastmod>2026-04-28T21:19:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>3D点群データから動的ジェスチャを時空間学習する手法（Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data）</news:title>
   <news:publication_date>2026-04-28T21:19:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684519</loc>
  <lastmod>2026-04-28T21:11:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>同心円上の表現で差をつける：Homocentric HypersphereによるPerson ReIDの新視点（Homocentric Hypersphere Feature Embedding for Person Re-identification）</news:title>
   <news:publication_date>2026-04-28T21:11:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684517</loc>
  <lastmod>2026-04-28T21:10:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>見えない部分を学ぶ技術：End-to-Endで学習可能なアモーダルインスタンス分割（Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation）</news:title>
   <news:publication_date>2026-04-28T21:10:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684515</loc>
  <lastmod>2026-04-28T21:10:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ガウス過程のための合成推論（Composite Inference for Gaussian Processes）</news:title>
   <news:publication_date>2026-04-28T21:10:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684513</loc>
  <lastmod>2026-04-28T21:09:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ALMAによるSSA22深宇宙探索：1.1mmで描く20平方分の探査（ALMA Deep Field in SSA22: Survey Design and Source Catalog of a 20 arcmin2 Survey at 1.1 mm）</news:title>
   <news:publication_date>2026-04-28T21:09:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684511</loc>
  <lastmod>2026-04-28T21:09:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>乗算的特徴量で強化する単語関係判定（Integrating Multiplicative Features into Supervised Distributional Methods for Lexical Entailment）</news:title>
   <news:publication_date>2026-04-28T21:09:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684509</loc>
  <lastmod>2026-04-28T21:09:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepEmoによる感情表現の強化と自動抽出（DeepEmo: Learning and Enriching Pattern-Based Emotion Representations）</news:title>
   <news:publication_date>2026-04-28T21:09:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684507</loc>
  <lastmod>2026-04-28T20:17:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>H2輝線で捉えた惑星状星雲の拡張構造（Extended Structures of Planetary Nebulae Detected in H2 Emission）</news:title>
   <news:publication_date>2026-04-28T20:17:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684505</loc>
  <lastmod>2026-04-28T20:17:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハードとソフトのしきい値のあいだ：最適反復しきい値アルゴリズム（Between hard and soft thresholding: optimal iterative thresholding algorithms）</news:title>
   <news:publication_date>2026-04-28T20:17:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684503</loc>
  <lastmod>2026-04-28T20:15:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>目的関数の内在次元を測る（MEASURING THE INTRINSIC DIMENSION OF OBJECTIVE LANDSCAPES）</news:title>
   <news:publication_date>2026-04-28T20:15:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684501</loc>
  <lastmod>2026-04-28T20:15:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タスク指向のテキスト含意を深掘りする手法（End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions）</news:title>
   <news:publication_date>2026-04-28T20:15:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684499</loc>
  <lastmod>2026-04-28T20:15:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非定常ストリームからのマニフォールド学習（Learning Manifolds from Non-stationary Streams）</news:title>
   <news:publication_date>2026-04-28T20:15:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684497</loc>
  <lastmod>2026-04-28T20:15:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>構造化SUMCOR多視点正準相関解析による大規模データ処理（Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data）</news:title>
   <news:publication_date>2026-04-28T20:15:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684495</loc>
  <lastmod>2026-04-28T20:14:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>P波到達時刻と初動極性を深層学習で自動化する（P-wave arrival picking and first-motion polarity determination with deep learning）</news:title>
   <news:publication_date>2026-04-28T20:14:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684493</loc>
  <lastmod>2026-04-28T19:22:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>会話音声における教師なし同期距離（Towards an Unsupervised Entrainment Distance in Conversational Speech using Deep Neural Networks）</news:title>
   <news:publication_date>2026-04-28T19:22:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684491</loc>
  <lastmod>2026-04-28T19:22:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時系列グラフ列に対するブロック構造ベースモデル（Block-Structure Based Time-Series Models For Graph Sequences）</news:title>
   <news:publication_date>2026-04-28T19:22:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684489</loc>
  <lastmod>2026-04-28T19:22:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アウト・オブ・ディストリビューション学習で堅牢化するCNN（Towards Dependable Deep Convolutional Neural Networks with Out-distribution Learning）</news:title>
   <news:publication_date>2026-04-28T19:22:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684487</loc>
  <lastmod>2026-04-28T19:21:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>API呼び出し列に対するクエリ効率の高いブラックボックス攻撃（Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers）</news:title>
   <news:publication_date>2026-04-28T19:21:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684485</loc>
  <lastmod>2026-04-28T19:21:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Neural-Brane: 属性付きネットワーク埋め込みの新潮流（Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding）</news:title>
   <news:publication_date>2026-04-28T19:21:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684483</loc>
  <lastmod>2026-04-28T19:21:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハイブリッド車のリアルタイム確率的予測制御によるエネルギー管理（Real-Time Stochastic Predictive Control for Hybrid Vehicle Energy Management）</news:title>
   <news:publication_date>2026-04-28T19:21:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684481</loc>
  <lastmod>2026-04-28T19:21:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>翻訳されている中国語の統語的特徴の検出 (Detecting Syntactic Features of Translated Chinese)</news:title>
   <news:publication_date>2026-04-28T19:21:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684479</loc>
  <lastmod>2026-04-28T18:29:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教室での本格的研究体験（Authentic Research in the Classroom for Teachers and Students）</news:title>
   <news:publication_date>2026-04-28T18:29:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684477</loc>
  <lastmod>2026-04-28T18:28:49Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>教育者と研究者を結ぶNITARPの13年の教訓（The NASA/IPAC Teacher Archive Research Program (NITARP))</news:title>
   <news:publication_date>2026-04-28T18:28:49Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684475</loc>
  <lastmod>2026-04-28T18:28:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>睡眠脳に現れる周期的交互パターンを機械学習で識別する試み（A machine learning model for identifying cyclic alternating patterns in the sleeping brain）</news:title>
   <news:publication_date>2026-04-28T18:28:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684473</loc>
  <lastmod>2026-04-28T18:28:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>工作物を使った代替現実ゲーム型ワークショップの設計（&amp;quot;It was Colonel Mustard in the Study with the Candlestick&amp;quot;: Using Artifacts to Create An Alternate Reality Game–The Unworkshop）</news:title>
   <news:publication_date>2026-04-28T18:28:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684471</loc>
  <lastmod>2026-04-28T18:27:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚特徴を活用したスタイルトレンド発見（Discovering Style Trends through Deep Visually Aware Latent Item Embeddings）</news:title>
   <news:publication_date>2026-04-28T18:27:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684469</loc>
  <lastmod>2026-04-28T18:27:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>StreamBEDによる市民科学者の現場感覚訓練（StreamBED: Training Citizen Scientists to Make Qualitative Judgments Using Embodied Virtual Reality Training）</news:title>
   <news:publication_date>2026-04-28T18:27:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684467</loc>
  <lastmod>2026-04-28T18:27:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非一様ジオメトリにおける同時ショット反演と高速データ補間（Simultaneous shot inversion for nonuniform geometries using fast data interpolation）</news:title>
   <news:publication_date>2026-04-28T18:27:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684465</loc>
  <lastmod>2026-04-28T17:35:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Rogueのダンジョン探索を分割A3Cで解く（Crawling in Rogue’s dungeons with (partitioned) A3C）</news:title>
   <news:publication_date>2026-04-28T17:35:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684463</loc>
  <lastmod>2026-04-28T17:35:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepDIVA: 再現可能な実験を素早く組めるPythonフレームワーク（DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments）</news:title>
   <news:publication_date>2026-04-28T17:35:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684461</loc>
  <lastmod>2026-04-28T17:34:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ボルツマン符号化敵対生成機（Boltzmann Encoded Adversarial Machines）</news:title>
   <news:publication_date>2026-04-28T17:34:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684459</loc>
  <lastmod>2026-04-28T17:33:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>科学的結果の頑健性を保証する統計的推論の理論（A Theory of Statistical Inference for Ensuring the Robustness of Scientific Results）</news:title>
   <news:publication_date>2026-04-28T17:33:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684457</loc>
  <lastmod>2026-04-28T17:33:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>データ駆動型の調査報道と腐敗検出（Data-Driven Investigative Journalism For Connectas Dataset）</news:title>
   <news:publication_date>2026-04-28T17:33:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684455</loc>
  <lastmod>2026-04-28T17:32:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>腕のジェスチャーで群ロボットを操る解釈子の設計（Gesture based Human-Swarm Interactions for Formation Control using interpreters）</news:title>
   <news:publication_date>2026-04-28T17:32:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684453</loc>
  <lastmod>2026-04-28T17:32:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低密度環境におけるフロック形成の誘導（Influencing Flock Formation in Low-Density Settings）</news:title>
   <news:publication_date>2026-04-28T17:32:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684451</loc>
  <lastmod>2026-04-28T16:40:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>新しい天の川衛星の詳細な観測（A Deeper Look at the New Milky Way Satellites）</news:title>
   <news:publication_date>2026-04-28T16:40:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684449</loc>
  <lastmod>2026-04-28T16:40:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>量子版生成的敵対ネットワークの提案（Quantum generative adversarial networks）</news:title>
   <news:publication_date>2026-04-28T16:40:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684447</loc>
  <lastmod>2026-04-28T16:39:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Projective Simulationをナビゲーション問題で評価する（Benchmarking projective simulation in navigation problems）</news:title>
   <news:publication_date>2026-04-28T16:39:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684445</loc>
  <lastmod>2026-04-28T16:38:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>常識を備えた記号強化学習（Towards Symbolic Reinforcement Learning with Common Sense）</news:title>
   <news:publication_date>2026-04-28T16:38:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684443</loc>
  <lastmod>2026-04-28T16:38:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ゼロショット視覚模倣（ZERO-SHOT VISUAL IMITATION）</news:title>
   <news:publication_date>2026-04-28T16:38:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684441</loc>
  <lastmod>2026-04-28T16:38:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>限られたクエリと情報で行うブラックボックス敵対的攻撃（Black-box Adversarial Attacks with Limited Queries and Information）</news:title>
   <news:publication_date>2026-04-28T16:38:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684439</loc>
  <lastmod>2026-04-28T16:38:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>任意のサポートを持つまばら辞書学習への接近（Towards Learning Sparsely Used Dictionaries with Arbitrary Supports）</news:title>
   <news:publication_date>2026-04-28T16:38:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684437</loc>
  <lastmod>2026-04-28T15:45:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模なシーン文字検証とGuided Attention（Large Scale Scene Text Verification with Guided Attention）</news:title>
   <news:publication_date>2026-04-28T15:45:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684435</loc>
  <lastmod>2026-04-28T15:45:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低温・金触媒によるグラフェンエッチングと水蒸気の役割（On the Role of Water Vapor and Process Gasses in Low-Temperature Gold-Catalyzed Graphene Etching）</news:title>
   <news:publication_date>2026-04-28T15:45:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684433</loc>
  <lastmod>2026-04-28T15:44:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>軽量で頭部姿勢に不変な注視追跡（Light-weight Head Pose Invariant Gaze Tracking）</news:title>
   <news:publication_date>2026-04-28T15:44:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684431</loc>
  <lastmod>2026-04-28T15:43:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ベクトル化による敵対的事例への防御（VectorDefense: Vectorization as a Defense to Adversarial Examples）</news:title>
   <news:publication_date>2026-04-28T15:43:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684429</loc>
  <lastmod>2026-04-28T15:43:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>解釈可能な機械学習で隠れたスピン秩序を探る（Probing hidden spin order with interpretable machine learning）</news:title>
   <news:publication_date>2026-04-28T15:43:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684427</loc>
  <lastmod>2026-04-28T15:42:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時空間ニューラルネットワークによる系列予測と関係性発見（Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery）</news:title>
   <news:publication_date>2026-04-28T15:42:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684425</loc>
  <lastmod>2026-04-28T15:42:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複合凸最小化の条件付き勾配フレームワーク（A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming）</news:title>
   <news:publication_date>2026-04-28T15:42:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684423</loc>
  <lastmod>2026-04-28T14:51:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>チャンネル強化型畳み込みニューラルネットワークと転移学習（A New Channel Boosted Convolutional Neural Network using Transfer Learning）</news:title>
   <news:publication_date>2026-04-28T14:51:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684421</loc>
  <lastmod>2026-04-28T14:50:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不完全歩行サイクルからの個人識別（Person Identification from Partial Gait Cycle Using Fully Convolutional Neural Network）</news:title>
   <news:publication_date>2026-04-28T14:50:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684419</loc>
  <lastmod>2026-04-28T14:50:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高次元推定と適応的マルチファクターモデル（High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model）</news:title>
   <news:publication_date>2026-04-28T14:50:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684417</loc>
  <lastmod>2026-04-28T14:49:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Dropping Networksによる転移学習の新展開（Dropping Networks For Transfer Learning）</news:title>
   <news:publication_date>2026-04-28T14:49:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684415</loc>
  <lastmod>2026-04-28T14:49:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>同時手番ゲームにおけるMC-MCTS選択の検証と示唆（Analysis of Hannan Consistent Selection for Monte Carlo Tree Search in Simultaneous Move Games）</news:title>
   <news:publication_date>2026-04-28T14:49:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684413</loc>
  <lastmod>2026-04-28T14:48:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>部分形状に頑健な整列を実現するALIGNet（ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning）</news:title>
   <news:publication_date>2026-04-28T14:48:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684411</loc>
  <lastmod>2026-04-28T14:48:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像から詩を生成する技術（Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Training）</news:title>
   <news:publication_date>2026-04-28T14:48:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684409</loc>
  <lastmod>2026-04-28T13:57:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ドローン操作をカードで組む仕組み（CardKit: A Card-Based Programming Framework for Drones）</news:title>
   <news:publication_date>2026-04-28T13:57:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684407</loc>
  <lastmod>2026-04-28T13:56:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視覚と言語を注意機構で結びつけるナビゲーション学習（Attention Based Natural Language Grounding by Navigating Virtual Environment）</news:title>
   <news:publication_date>2026-04-28T13:56:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684405</loc>
  <lastmod>2026-04-28T13:56:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>デコレートされたバッチ正規化（Decorrelated Batch Normalization）</news:title>
   <news:publication_date>2026-04-28T13:56:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684403</loc>
  <lastmod>2026-04-28T13:55:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スマートモビリティを支える経路計画にGANを使う意義（Path Planning in Support of Smart Mobility Applications using Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-04-28T13:55:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684401</loc>
  <lastmod>2026-04-28T13:54:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>状態分布を考慮したサンプリングによる深層Q学習の改善（State Distribution-aware Sampling for Deep Q-learning）</news:title>
   <news:publication_date>2026-04-28T13:54:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684399</loc>
  <lastmod>2026-04-28T13:54:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>VCC2018のスプーフィング指標による音声変換アーティファクト評価（A Spoofing Benchmark for the 2018 Voice Conversion Challenge: Leveraging from Spoofing Countermeasures for Speech Artifact Assessment）</news:title>
   <news:publication_date>2026-04-28T13:54:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684397</loc>
  <lastmod>2026-04-28T13:54:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>腹部多臓器セグメンテーションにおける器官注意ネットワークと統計的融合（Abdominal Multi-organ Segmentation with Organ-Attention Networks and Statistical Fusion）</news:title>
   <news:publication_date>2026-04-28T13:54:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684395</loc>
  <lastmod>2026-04-28T13:02:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時空間敵対ネットワークによる異常検知の新展開（STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection）</news:title>
   <news:publication_date>2026-04-28T13:02:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684393</loc>
  <lastmod>2026-04-28T13:02:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>乳癌組織像分類のための畳み込みカプセル・ネットワーク（Convolutional capsule network for classification of breast cancer histology images）</news:title>
   <news:publication_date>2026-04-28T13:02:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684391</loc>
  <lastmod>2026-04-28T13:00:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深さ優先並列処理によるニューラルネットワーク高速化（BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism）</news:title>
   <news:publication_date>2026-04-28T13:00:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684389</loc>
  <lastmod>2026-04-28T12:59:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>VLocNet++：視覚位置推定とオドメトリのための深層マルチタスク学習（VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry）</news:title>
   <news:publication_date>2026-04-28T12:59:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684387</loc>
  <lastmod>2026-04-28T12:59:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ガウシアン素材合成（Gaussian Material Synthesis）</news:title>
   <news:publication_date>2026-04-28T12:59:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684385</loc>
  <lastmod>2026-04-28T12:59:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>赤外と可視画像の融合を改めて考える（DenseFuse: A Fusion Approach to Infrared and Visible Images）</news:title>
   <news:publication_date>2026-04-28T12:59:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684383</loc>
  <lastmod>2026-04-28T12:59:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>辞書学習と低ランク表現による多焦点画像融合（Multi-focus Image Fusion using dictionary learning and Low-Rank Representation）</news:title>
   <news:publication_date>2026-04-28T12:59:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684381</loc>
  <lastmod>2026-04-28T12:07:52Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分散分布決定性方策勾配（Distributed Distributional Deterministic Policy Gradients）</news:title>
   <news:publication_date>2026-04-28T12:07:52Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684379</loc>
  <lastmod>2026-04-28T12:05:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>離散非線形シュレーディンガー方程式によるリザバーコンピューティングのモデル化（Modelling reservoir computing with the discrete nonlinear Schrödinger equation）</news:title>
   <news:publication_date>2026-04-28T12:05:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684377</loc>
  <lastmod>2026-04-28T12:05:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Deep Facial Expression Recognitionの総覧（Deep Facial Expression Recognition: A Survey）</news:title>
   <news:publication_date>2026-04-28T12:05:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684375</loc>
  <lastmod>2026-04-28T12:04:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>QANet: 局所畳み込みと全体自己注意を組み合わせたリーディング理解モデル (QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension)</news:title>
   <news:publication_date>2026-04-28T12:04:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684373</loc>
  <lastmod>2026-04-28T12:04:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率密度近似と推定のためのランダム化混合モデル（Randomized Mixture Models for Probability Density Approximation and Estimation）</news:title>
   <news:publication_date>2026-04-28T12:04:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684371</loc>
  <lastmod>2026-04-28T12:03:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>表と文法を意識したSQL生成による意味解析（Semantic Parsing with Syntax- and Table-Aware SQL Generation）</news:title>
   <news:publication_date>2026-04-28T12:03:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684369</loc>
  <lastmod>2026-04-28T12:03:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異機種資源を持つモバイルエッジにおけるフェデレーテッドラーニングのクライアント選択（Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge）</news:title>
   <news:publication_date>2026-04-28T12:03:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684367</loc>
  <lastmod>2026-04-28T11:12:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視差と広帯域光学観測から導く恒星の年齢と金属量（Estimating stellar ages and metallicities from parallaxes and broadband photometry - successes and shortcomings）</news:title>
   <news:publication_date>2026-04-28T11:12:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684365</loc>
  <lastmod>2026-04-28T11:10:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多言語語彙ネットワークを使った二言語埋め込みの新手法（Bilingual Embeddings with Random Walks over Multilingual Wordnets）</news:title>
   <news:publication_date>2026-04-28T11:10:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684363</loc>
  <lastmod>2026-04-28T11:10:46Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>タスク間転移の構造化と実用的意義（Taskonomy: Disentangling Task Transfer Learning）</news:title>
   <news:publication_date>2026-04-28T11:10:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684361</loc>
  <lastmod>2026-04-28T11:09:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像セグメンテーションのドメイン適応を結ぶFCAN（Fully Convolutional Adaptation Networks for Semantic Segmentation）</news:title>
   <news:publication_date>2026-04-28T11:09:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684359</loc>
  <lastmod>2026-04-28T11:09:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>分子構造の生物活性予測におけるSPL-Logsumによる記述子選択（QSAR Classification Modeling for Bioactivity of Molecular Structure via SPL-Logsum）</news:title>
   <news:publication_date>2026-04-28T11:09:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684357</loc>
  <lastmod>2026-04-28T11:08:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>楽曲におけるリードと伴奏の分離（An Overview of Lead and Accompaniment Separation in Music）</news:title>
   <news:publication_date>2026-04-28T11:08:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684355</loc>
  <lastmod>2026-04-28T11:07:58Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>斜め空撮画像からの交差ドメイン建物抽出と選択的深度推定（DEEP CROSS-DOMAIN BUILDING EXTRACTION FOR SELECTIVE DEPTH ESTIMATION FROM OBLIQUE AERIAL IMAGERY）</news:title>
   <news:publication_date>2026-04-28T11:07:58Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684353</loc>
  <lastmod>2026-04-28T10:16:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>メモリマッチングネットワークによるワンショット画像認識（Memory Matching Networks for One-Shot Image Recognition）</news:title>
   <news:publication_date>2026-04-28T10:16:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684351</loc>
  <lastmod>2026-04-28T10:16:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>絵文字とハッシュタグで感情を学ぶ手法の実務的意義（PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags）</news:title>
   <news:publication_date>2026-04-28T10:16:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684349</loc>
  <lastmod>2026-04-28T10:15:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層意味ハッシュとGANによる合成データ生成（Deep Semantic Hashing with Generative Adversarial Networks）</news:title>
   <news:publication_date>2026-04-28T10:15:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684347</loc>
  <lastmod>2026-04-28T10:15:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>パラメータ転送ユニットによる深層ニューラルネットワークの汎化改善（Parameter Transfer Unit for Deep Neural Networks）</news:title>
   <news:publication_date>2026-04-28T10:15:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684345</loc>
  <lastmod>2026-04-28T10:14:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>電子カルテに基づく臨床支援の自動化（Clinical Assistant Diagnosis for Electronic Medical Record Based on Convolutional Neural Network）</news:title>
   <news:publication_date>2026-04-28T10:14:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684343</loc>
  <lastmod>2026-04-28T10:14:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>意味知識の転移による議論理解（NLITrans at SemEval-2018 Task 12: Transfer of Semantic Knowledge for Argument Comprehension）</news:title>
   <news:publication_date>2026-04-28T10:14:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684341</loc>
  <lastmod>2026-04-28T10:14:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>キャプションから動画を生成する技術の衝撃（To Create What You Tell: Generating Videos from Captions）</news:title>
   <news:publication_date>2026-04-28T10:14:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684339</loc>
  <lastmod>2026-04-28T09:22:59Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>N-fold SuperpositionによるCNNのノイズ低減と収束改善（N-fold Superposition: Improving Neural Networks by Reducing the Noise in Feature Maps）</news:title>
   <news:publication_date>2026-04-28T09:22:59Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684337</loc>
  <lastmod>2026-04-28T09:22:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Memory Attention Networksによるスケルトン行動認識の革新（Memory Attention Networks for Skeleton-based Action Recognition）</news:title>
   <news:publication_date>2026-04-28T09:22:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684335</loc>
  <lastmod>2026-04-28T09:22:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>運転者の適応的性能評価――行動的アドバンテージによる比較（Adaptive Performance Assessment For Drivers Through Behavioral Advantage）</news:title>
   <news:publication_date>2026-04-28T09:22:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684333</loc>
  <lastmod>2026-04-28T09:21:43Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Mem2Seqで対話システムに知識ベースを組み込む（Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems）</news:title>
   <news:publication_date>2026-04-28T09:21:43Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684331</loc>
  <lastmod>2026-04-28T09:21:32Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オピエートのµ-オピオイド受容体への結合経路を無監督機械学習で解明（Binding Pathway of Opiates to µ-Opioid Receptors Revealed by Unsupervised Machine Learning）</news:title>
   <news:publication_date>2026-04-28T09:21:32Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684329</loc>
  <lastmod>2026-04-28T09:21:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>言語情報を組み込んだ自己注意による意味役割付与（Linguistically-Informed Self-Attention for Semantic Role Labeling）</news:title>
   <news:publication_date>2026-04-28T09:21:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684327</loc>
  <lastmod>2026-04-28T09:21:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Knowledge-based end-to-end memory networks（Knowledge-based end-to-end memory networks）</news:title>
   <news:publication_date>2026-04-28T09:21:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684325</loc>
  <lastmod>2026-04-28T08:29:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模受容野ネットワークによる高倍率画像超解像（Large Receptive Field Networks for High-Scale Image Super-Resolution）</news:title>
   <news:publication_date>2026-04-28T08:29:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684323</loc>
  <lastmod>2026-04-28T08:29:29Z</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・インタリンガによる多言語機械翻訳（A neural interlingua for multilingual machine translation）</news:title>
   <news:publication_date>2026-04-28T08:29:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684321</loc>
  <lastmod>2026-04-28T08:29:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>肺がん診断における深層畳み込みニューラルネットワーク（A Deep Convolutional Neural Network for Lung Cancer Diagnostic）</news:title>
   <news:publication_date>2026-04-28T08:29:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684319</loc>
  <lastmod>2026-04-28T08:28:03Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>NE-Table: ネームドエンティティ向けニューラル鍵値テーブル（NE-Table: A Neural key-value table for Named Entities）</news:title>
   <news:publication_date>2026-04-28T08:28:03Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684317</loc>
  <lastmod>2026-04-28T08:27:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>悪意あるメール添付ファイル検出エンジンの可能性（MEADE: Towards a Malicious Email Attachment Detection Engine）</news:title>
   <news:publication_date>2026-04-28T08:27:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684315</loc>
  <lastmod>2026-04-28T08:27:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>局所的白質構造が機能的脳ダイナミクスを規定する（Local White Matter Architecture Defines Functional Brain Dynamics）</news:title>
   <news:publication_date>2026-04-28T08:27:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684313</loc>
  <lastmod>2026-04-28T08:27:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>I Know How You Feel: Emotion Recognition with Facial Landmarks（I Know How You Feel: Emotion Recognition with Facial Landmarks）</news:title>
   <news:publication_date>2026-04-28T08:27:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684311</loc>
  <lastmod>2026-04-28T07:36:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Micro-Net による顕微鏡画像セグメンテーションの統一モデル（Micro-Net: A unified model for segmentation of various objects in microscopy images）</news:title>
   <news:publication_date>2026-04-28T07:36:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684309</loc>
  <lastmod>2026-04-28T07:35:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>スパイキングニューラルネットワークにおける深層学習（Deep Learning in Spiking Neural Networks）</news:title>
   <news:publication_date>2026-04-28T07:35:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684307</loc>
  <lastmod>2026-04-28T07:35:42Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>同じ表現、異なる注意（Same Representation, Different Attentions）</news:title>
   <news:publication_date>2026-04-28T07:35:42Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684305</loc>
  <lastmod>2026-04-28T07:35:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>訓練データの隠れたバイアスが評価を歪める（Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment）</news:title>
   <news:publication_date>2026-04-28T07:35:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684303</loc>
  <lastmod>2026-04-28T07:34:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>英語ツイートにおける皮肉検出手法の実践（IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets）</news:title>
   <news:publication_date>2026-04-28T07:34:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684301</loc>
  <lastmod>2026-04-28T07:34:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ストリーミングデータからのスパースな走行時間推定（Sparse Travel Time Estimation from Streaming Data）</news:title>
   <news:publication_date>2026-04-28T07:34:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684299</loc>
  <lastmod>2026-04-28T07:33:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模データ下でのベイジアンネットワーク構造学習の高速化（Learning Bayesian Networks from Big Data with Greedy Search）</news:title>
   <news:publication_date>2026-04-28T07:33:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684297</loc>
  <lastmod>2026-04-28T06:43:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>アンカーベースNearest Class Mean損失によるCNNの識別性能強化（Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-04-28T06:43:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684295</loc>
  <lastmod>2026-04-28T06:42:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>離散的な語義選択を微分可能にする手法の要点（Gumbel Attention for Sense Induction）</news:title>
   <news:publication_date>2026-04-28T06:42:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684293</loc>
  <lastmod>2026-04-28T06:42:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>カッコウ探索（Cuckoo Search: State-of-the-Art and Opportunities）</news:title>
   <news:publication_date>2026-04-28T06:42:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684291</loc>
  <lastmod>2026-04-28T06:42:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>MQGrad: パラメータサーバにおける勾配量子化を強化学習で制御する手法（MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server）</news:title>
   <news:publication_date>2026-04-28T06:42:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684289</loc>
  <lastmod>2026-04-28T06:41:45Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文の位置予測で学ぶ文章埋め込みが変える可読性評価（Learning Sentence Embeddings for Coherence Modelling and Beyond）</news:title>
   <news:publication_date>2026-04-28T06:41:45Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684287</loc>
  <lastmod>2026-04-28T06:41:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>解釈可能な離散文表現を用いた対話生成（Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation）</news:title>
   <news:publication_date>2026-04-28T06:41:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684285</loc>
  <lastmod>2026-04-28T06:41:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>デカップルドネットワーク（Decoupled Networks）</news:title>
   <news:publication_date>2026-04-28T06:41:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684283</loc>
  <lastmod>2026-04-28T05:49:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Bridgeout: 深層ニューラルネットワークの適応的確率的正則化（Bridgeout: stochastic bridge regularization for deep neural networks）</news:title>
   <news:publication_date>2026-04-28T05:49:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684281</loc>
  <lastmod>2026-04-28T05:49:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>HeteroMedによる電子カルテ解析の新視点（HeteroMed: Heterogeneous Information Network for Medical Diagnosis）</news:title>
   <news:publication_date>2026-04-28T05:49:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684279</loc>
  <lastmod>2026-04-28T05:49:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自然言語における敵対的サンプル生成（Generating Natural Language Adversarial Examples）</news:title>
   <news:publication_date>2026-04-28T05:49:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684277</loc>
  <lastmod>2026-04-28T05:48:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的メタ埋め込みによる文表現の改善（Dynamic Meta-Embeddings for Improved Sentence Representations）</news:title>
   <news:publication_date>2026-04-28T05:48:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684275</loc>
  <lastmod>2026-04-28T05:48:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Neural‑DavidsonianによるSemantic Proto‑role Labelingの新展開（Neural‑Davidsonian Semantic Proto‑role Labeling）</news:title>
   <news:publication_date>2026-04-28T05:48:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684273</loc>
  <lastmod>2026-04-28T05:48:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>文字列カーネルと単語埋め込みを組み合わせた自動エッセイ採点（Automated essay scoring with string kernels and word embeddings）</news:title>
   <news:publication_date>2026-04-28T05:48:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684271</loc>
  <lastmod>2026-04-28T04:56:40Z</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を用いた空間画像ステガノグラフィ（Spatial Image Steganography Based on Generative Adversarial Network）</news:title>
   <news:publication_date>2026-04-28T04:56:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684269</loc>
  <lastmod>2026-04-28T04:47:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>語彙表現とベクトル空間の拡張（Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons）</news:title>
   <news:publication_date>2026-04-28T04:47:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684267</loc>
  <lastmod>2026-04-28T04:47:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PAMに対する焼き直し不要の変分推論——aviPAMがもたらす探索速度の革命（Variational Inference In Pachinko Allocation Machines）</news:title>
   <news:publication_date>2026-04-28T04:47:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684265</loc>
  <lastmod>2026-04-28T04:45:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>訓練可能なGreedyデコーディングの安定的かつ有効な学習戦略（A Stable and Effective Learning Strategy for Trainable Greedy Decoding）</news:title>
   <news:publication_date>2026-04-28T04:45:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684263</loc>
  <lastmod>2026-04-28T04:45:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>全空間マルチタスクモデルによるポストクリック転換率推定（Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate）</news:title>
   <news:publication_date>2026-04-28T04:45:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684261</loc>
  <lastmod>2026-04-28T04:45:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>特徴選択は学習データ汚染に耐えられるか（Is Feature Selection Secure against Training Data Poisoning?）</news:title>
   <news:publication_date>2026-04-28T04:45:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684259</loc>
  <lastmod>2026-04-28T04:44:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>汎用的な文表現を学ぶマルチタスク学習（Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks）</news:title>
   <news:publication_date>2026-04-28T04:44:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684257</loc>
  <lastmod>2026-04-28T03:52:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>姿勢推定の精度を最後に伸ばす一手：PoseRefiner（Learning to Refine Human Pose Estimation）</news:title>
   <news:publication_date>2026-04-28T03:52:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684255</loc>
  <lastmod>2026-04-28T03:52:17Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>時空を量子状態の最適生成ネットワークとして：QM=GRへのロードマップ（Spacetime as the optimal generative network of quantum states: a roadmap to QM=GR?）</news:title>
   <news:publication_date>2026-04-28T03:52:17Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684253</loc>
  <lastmod>2026-04-28T03:51:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単眼カメラによる車両位置特定の実用化可能性（Monocular Vision-based Vehicle Localization Aided by Fine-grained Classification）</news:title>
   <news:publication_date>2026-04-28T03:51:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684251</loc>
  <lastmod>2026-04-28T03:51:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンライン公衆衛生介入のためのソーシャルボット（Social Bots for Online Public Health Interventions）</news:title>
   <news:publication_date>2026-04-28T03:51:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684249</loc>
  <lastmod>2026-04-28T03:51:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>韓国における大気汚染予測にLSTMを用いる深層学習アプローチ（A Deep Learning Approach for Forecasting Air Pollution in South Korea Using LSTM）</news:title>
   <news:publication_date>2026-04-28T03:51:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684247</loc>
  <lastmod>2026-04-28T03:51:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>動的アンサンブル選択とK-NNの比較（Dynamic Ensemble Selection VS K-NN: why and when Dynamic Selection obtains higher classification performance?）</news:title>
   <news:publication_date>2026-04-28T03:51:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684245</loc>
  <lastmod>2026-04-28T03:50:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成的敵対的模倣学習によるイベント抽出（Event Extraction with Generative Adversarial Imitation Learning）</news:title>
   <news:publication_date>2026-04-28T03:50:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684243</loc>
  <lastmod>2026-04-28T02:58:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>強化学習による自動車のレーンチェンジ制御（A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers）</news:title>
   <news:publication_date>2026-04-28T02:58:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684241</loc>
  <lastmod>2026-04-28T02:57:55Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低リソース言語への大規模並列クロスリンガル学習（Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation）</news:title>
   <news:publication_date>2026-04-28T02:57:55Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684239</loc>
  <lastmod>2026-04-28T02:57:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>多言語共通セマンティックスペースの構築（Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding）</news:title>
   <news:publication_date>2026-04-28T02:57:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684237</loc>
  <lastmod>2026-04-28T02:56:27Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>階層型対話方策学習のためのサブゴール発見（Subgoal Discovery for Hierarchical Dialogue Policy Learning）</news:title>
   <news:publication_date>2026-04-28T02:56:27Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684235</loc>
  <lastmod>2026-04-28T02:56:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>28nm CMOSで実装した64kシナプス・256ニューロンのオンライン学習型デジタルスパイキングニューロモルフィックプロセッサ（A 0.086-mm2 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28nm CMOS）</news:title>
   <news:publication_date>2026-04-28T02:56:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684233</loc>
  <lastmod>2026-04-28T02:56:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CLEVER評価法とグラディエントマスキングの落とし穴（GRADIENT MASKING CAUSES CLEVER TO OVERESTIMATE ADVERSARIAL PERTURBATION SIZE）</news:title>
   <news:publication_date>2026-04-28T02:56:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684231</loc>
  <lastmod>2026-04-28T02:55:54Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>遮蔽された対象の再構成による現場可視化（Occluded Object Reconstruction for First Responders with Augmented Reality Glasses）</news:title>
   <news:publication_date>2026-04-28T02:55:54Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684229</loc>
  <lastmod>2026-04-28T02:04:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラル構文解析器の内部で何が起きているか（What’s Going On in Neural Constituency Parsers? An Analysis）</news:title>
   <news:publication_date>2026-04-28T02:04:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684227</loc>
  <lastmod>2026-04-28T02:04:20Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CactusNetによる層適用度の定義と転移学習への応用（CactusNets: Layer Applicability as a Metric for Transfer Learning）</news:title>
   <news:publication_date>2026-04-28T02:04:20Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684225</loc>
  <lastmod>2026-04-28T02:04:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>DeepPETによるPET画像再構成の直接解法 (DeepPET: A deep encoder–decoder network for directly solving the PET reconstruction inverse problem)</news:title>
   <news:publication_date>2026-04-28T02:04:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684223</loc>
  <lastmod>2026-04-28T02:02:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>近似オラクルを使ったオンライン不適切学習の効率化（Online Improper Learning with an Approximation Oracle）</news:title>
   <news:publication_date>2026-04-28T02:02:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684221</loc>
  <lastmod>2026-04-28T02:02:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>直接ネットワーク転移による文埋め込みの転移学習（Direct Network Transfer: Transfer Learning of Sentence Embeddings for Semantic Similarity）</news:title>
   <news:publication_date>2026-04-28T02:02:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684219</loc>
  <lastmod>2026-04-28T02:01:56Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>前・側面同時処理による胸部X線の自動読影（Large Scale Automated Reading of Frontal and Lateral Chest X-Rays using Dual Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-04-28T02:01:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684217</loc>
  <lastmod>2026-04-28T02:01:47Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>効率的な文脈化表現：系列ラベリングのための言語モデル剪定（Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling）</news:title>
   <news:publication_date>2026-04-28T02:01:47Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684215</loc>
  <lastmod>2026-04-28T01:09:04Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>値認識量子化による低精度学習と推論の最適化（Value-aware Quantization for Training and Inference of Neural Networks）</news:title>
   <news:publication_date>2026-04-28T01:09:04Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684213</loc>
  <lastmod>2026-04-28T01:03:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Autotuneによるハイパーパラメータ調整の自動化 (Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning)</news:title>
   <news:publication_date>2026-04-28T01:03:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684203</loc>
  <lastmod>2026-04-28T01:02:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視点に依存しない物体カウントのための集約型多列拡張畳み込みネットワーク（An Aggregated Multicolumn Dilated Convolution Network for Perspective-Free Counting）</news:title>
   <news:publication_date>2026-04-28T01:02:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684201</loc>
  <lastmod>2026-04-28T01:02:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>構造化データからの記述生成を変えた二焦点注意機構と直交ゲート（Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization）</news:title>
   <news:publication_date>2026-04-28T01:02:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684199</loc>
  <lastmod>2026-04-28T01:01:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>顔属性予測を組み合わせた深層顔認証ネットワーク（A Deep Face Identification Network Enhanced by Facial Attributes Prediction）</news:title>
   <news:publication_date>2026-04-28T01:01:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684197</loc>
  <lastmod>2026-04-28T01:01:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層表現を使った遠隔監督による臨床情報抽出の新手法（A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction）</news:title>
   <news:publication_date>2026-04-28T01:01:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684195</loc>
  <lastmod>2026-04-28T00:59:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>確率的サブグラデient法は非滑らかな関数でも収束するのか（Stochastic subgradient method converges on tame functions）</news:title>
   <news:publication_date>2026-04-28T00:59:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684193</loc>
  <lastmod>2026-04-28T00:07:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>最も寒い褐色矮星のLバンド分光（AN L BAND SPECTRUM OF THE COLDEST BROWN DWARF）</news:title>
   <news:publication_date>2026-04-28T00:07:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684191</loc>
  <lastmod>2026-04-28T00:07:31Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>PEORL：記号的計画と階層強化学習の統合による頑健な意思決定（PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making）</news:title>
   <news:publication_date>2026-04-28T00:07:31Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684189</loc>
  <lastmod>2026-04-28T00:07:15Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インタラクティブモバイルアプリを用いた授業外のアクティブラーニング（Active Learning for Out-of-class Activities by Using Interactive Mobile Apps）</news:title>
   <news:publication_date>2026-04-28T00:07:15Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684187</loc>
  <lastmod>2026-04-28T00:06:29Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>モノリンガルだけで翻訳を学ぶ手法（Phrase-Based &amp;amp; Neural Unsupervised Machine Translation）</news:title>
   <news:publication_date>2026-04-28T00:06:29Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684185</loc>
  <lastmod>2026-04-28T00:06:05Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>会話から学ぶ文の意味的類似性（Learning Semantic Textual Similarity from Conversations）</news:title>
   <news:publication_date>2026-04-28T00:06:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684183</loc>
  <lastmod>2026-04-28T00:05:51Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>リーマン・シータ・ボルツマンマシンのサンプリング手法（Sampling the Riemann-Theta Boltzmann Machine）</news:title>
   <news:publication_date>2026-04-28T00:05:51Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684181</loc>
  <lastmod>2026-04-28T00:05:38Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>XMM-LSS領域におけるX線点源カタログの整備（XMM-LSS X-ray Point-Source Catalog）</news:title>
   <news:publication_date>2026-04-28T00:05:38Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684179</loc>
  <lastmod>2026-04-27T23:14:28Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>退屈な粒子の正体を見分けるAI――重い縮退ヒッグスの信号混合推定に深層ニューラルネットワークを用いる試み（Signal mixture estimation for degenerate heavy Higgses using a deep neural network）</news:title>
   <news:publication_date>2026-04-27T23:14:28Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684177</loc>
  <lastmod>2026-04-27T23:13:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>単語埋め込みの言語間写像を「検索基準」で最適化する手法（Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion）</news:title>
   <news:publication_date>2026-04-27T23:13:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684175</loc>
  <lastmod>2026-04-27T23:13:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ヒッグス真空不安定性から生じる原始黒洞（Primordial Black Holes from Higgs Vacuum Instability: Avoiding Fine-tuning through an Ultraviolet Safe Mechanism）</news:title>
   <news:publication_date>2026-04-27T23:13:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684173</loc>
  <lastmod>2026-04-27T23:11:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トラップドイオン量子ビットの機械学習支援読み出し（Machine learning assisted readout of trapped-ion qubits）</news:title>
   <news:publication_date>2026-04-27T23:11:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684171</loc>
  <lastmod>2026-04-27T23:11:23Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>不規則な穴の画像修復における部分畳み込み（Image Inpainting for Irregular Holes Using Partial Convolutions）</news:title>
   <news:publication_date>2026-04-27T23:11:23Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684169</loc>
  <lastmod>2026-04-27T23:11:09Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>画像に対する敵対的変形攻撃の反復アルゴリズム（ADEF: AN ITERATIVE ALGORITHM TO CONSTRUCT ADVERSARIAL DEFORMATIONS）</news:title>
   <news:publication_date>2026-04-27T23:11:09Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684167</loc>
  <lastmod>2026-04-27T23:10:11Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>トポロジ駆動によるターゲット影響最大化（Topology-driven Diversity for Targeted Influence Maximization）</news:title>
   <news:publication_date>2026-04-27T23:10:11Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684165</loc>
  <lastmod>2026-04-27T22:18:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>LSSTによるPlanet X探索の可検出性（ON THE DETECTABILITY OF PLANET X WITH LSST）</news:title>
   <news:publication_date>2026-04-27T22:18:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684163</loc>
  <lastmod>2026-04-27T22:17:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>異なる発話行為とスロットをまたぐ対話ポリシー転移（Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment）</news:title>
   <news:publication_date>2026-04-27T22:17:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684161</loc>
  <lastmod>2026-04-27T22:16:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>音声感情認識におけるドメイン敵対的学習（Domain Adversarial for Acoustic Emotion Recognition）</news:title>
   <news:publication_date>2026-04-27T22:16:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684159</loc>
  <lastmod>2026-04-27T22:15:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ニューラルネットワークによる顧客オンライン行動モデリング（Modelling customer online behaviours with neural networks: applications to conversion prediction and advertising retargeting）</news:title>
   <news:publication_date>2026-04-27T22:15:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684157</loc>
  <lastmod>2026-04-27T22:15:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>生成的敵対正則化を用いた逆トーンマッピングネットワークの学習 (Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer)</news:title>
   <news:publication_date>2026-04-27T22:15:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684155</loc>
  <lastmod>2026-04-27T22:15:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>Residual D-netによる脳結合性ダイナミクスの教師なし学習（Unsupervised learning of the brain connectivity dynamic using residual D-net）</news:title>
   <news:publication_date>2026-04-27T22:15:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684153</loc>
  <lastmod>2026-04-27T22:15:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>非線形光ファイバ通信における終端からのオートエンコーダ学習による到達可能情報率（Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning）</news:title>
   <news:publication_date>2026-04-27T22:15:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684151</loc>
  <lastmod>2026-04-27T21:23:00Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>超解像超音波局所化顕微鏡と深層学習による実装（Super-resolution Ultrasound Localization Microscopy through Deep Learning）</news:title>
   <news:publication_date>2026-04-27T21:23:00Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684149</loc>
  <lastmod>2026-04-27T21:22:36Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>古典的グラフィカルモデルからの量子符号（Quantum Codes from Classical Graphical Models）</news:title>
   <news:publication_date>2026-04-27T21:22:36Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684147</loc>
  <lastmod>2026-04-27T21:22:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>環境が進化的群ロボティクスの適応機構にもたらす影響の調査 (An Investigation of Environmental Influence on the Benefits of Adaptation Mechanisms in Evolutionary Swarm Robotics)</news:title>
   <news:publication_date>2026-04-27T21:22:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684145</loc>
  <lastmod>2026-04-27T21:21:10Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>周期的活性化関数を持つ簡素な量子ニューラルネット（A Simple Quantum Neural Net with a Periodic Activation Function）</news:title>
   <news:publication_date>2026-04-27T21:21:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684143</loc>
  <lastmod>2026-04-27T21:21:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>小バッチ学習を見直す――効率と汎化のトレードオフ（REVISITING SMALL BATCH TRAINING FOR DEEP NEURAL NETWORKS）</news:title>
   <news:publication_date>2026-04-27T21:21:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684141</loc>
  <lastmod>2026-04-27T21:20:48Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>複雑なデータ位相の堅牢でスケーラブルな学習（ROBUST AND SCALABLE LEARNING OF COMPLEX DATASET TOPOLOGIES VIA ELPIGRAPH）</news:title>
   <news:publication_date>2026-04-27T21:20:48Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684139</loc>
  <lastmod>2026-04-27T21:20:41Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>サイバー防衛に向けた知能的自律エージェントの展望（Toward Intelligent Autonomous Agents for Cyber Defense）</news:title>
   <news:publication_date>2026-04-27T21:20:41Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684137</loc>
  <lastmod>2026-04-27T20:28:35Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>左心房セグメンテーションのためのドメイン・幾何学非依存CNN（Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound）</news:title>
   <news:publication_date>2026-04-27T20:28:35Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684135</loc>
  <lastmod>2026-04-27T20:28:14Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>赤色巨星における太陽様振動の検出を深層学習で自動化する（Detecting Solar-Like Oscillations in Red Giants with Deep Learning）</news:title>
   <news:publication_date>2026-04-27T20:28:14Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684133</loc>
  <lastmod>2026-04-27T20:27:39Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>軽量で高速な顔認証を実現するMobileFaceNets（MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices）</news:title>
   <news:publication_date>2026-04-27T20:27:39Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684131</loc>
  <lastmod>2026-04-27T20:26:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>実運用ストリーミング環境における能動学習によるクレジットカード不正検知の評価（Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection: Assessment and Visualization）</news:title>
   <news:publication_date>2026-04-27T20:26:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684129</loc>
  <lastmod>2026-04-27T20:26:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>部分ラベル学習に自己ペース正則化を組み合わせる手法の解説（A Self-paced Regularization Framework for Partial-Label Learning）</news:title>
   <news:publication_date>2026-04-27T20:26:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684127</loc>
  <lastmod>2026-04-27T20:26:12Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ResGuideNetによる単一画像の雨滴除去（Residual-Guide Network for Single Image Deraining）</news:title>
   <news:publication_date>2026-04-27T20:26:12Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684125</loc>
  <lastmod>2026-04-27T20:25:57Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>CNNの可視化における正則化の理解（Understanding Regularization to Visualize Convolutional Neural Networks）</news:title>
   <news:publication_date>2026-04-27T20:25:57Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684123</loc>
  <lastmod>2026-04-27T19:33:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>学習された特徴をより頑健にする敵対的訓練（Learning More Robust Features with Adversarial Training）</news:title>
   <news:publication_date>2026-04-27T19:33:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684121</loc>
  <lastmod>2026-04-27T19:27:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>D¨IOTによるIoT異常検知の連合自己学習（D¨IOT: A Federated Self-learning Anomaly Detection System for IoT）</news:title>
   <news:publication_date>2026-04-27T19:27:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684119</loc>
  <lastmod>2026-04-27T19:26:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>地上画像と携帯GPSだけで達成する高精度ジオローカライゼーション（Accurate Deep Direct Geo-Localization from Ground Imagery and Phone-Grade GPS）</news:title>
   <news:publication_date>2026-04-27T19:26:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684117</loc>
  <lastmod>2026-04-27T19:25:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高いsp3含有率を生む成長機構の解明（Growth mechanism and origin of high sp3 content in tetrahedral amorphous carbon）</news:title>
   <news:publication_date>2026-04-27T19:25:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684115</loc>
  <lastmod>2026-04-27T19:24:34Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GLUE：自然言語理解の汎用評価基盤（GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding）</news:title>
   <news:publication_date>2026-04-27T19:24:34Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684113</loc>
  <lastmod>2026-04-27T19:24:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>オンライン非定常環境下でのフォグタスクオフロード学習（Learn and Pick Right Nodes to Offload）</news:title>
   <news:publication_date>2026-04-27T19:24:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684111</loc>
  <lastmod>2026-04-27T19:23:30Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>視点適応型ニューラルネットワークによる骨格ベース行動認識の高精度化（View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition）</news:title>
   <news:publication_date>2026-04-27T19:23:30Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684109</loc>
  <lastmod>2026-04-27T18:32:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>自己触媒で位相一様なp型GaAsナノワイヤによる高感度光検出（High-Responsivity Photodetection by Self-Catalyzed Phase-Pure P-GaAs Nanowire）</news:title>
   <news:publication_date>2026-04-27T18:32:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684107</loc>
  <lastmod>2026-04-27T18:31:33Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層学習モデルと専用アクセラレータの協調設計がもたらす変化（Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications）</news:title>
   <news:publication_date>2026-04-27T18:31:33Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684105</loc>
  <lastmod>2026-04-27T18:31:18Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>SDN連携で進化するIP/光ネットワーク管理（Two Use Cases of Machine Learning for SDN-Enabled IP/Optical Networks）</news:title>
   <news:publication_date>2026-04-27T18:31:18Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684103</loc>
  <lastmod>2026-04-27T18:30:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>インスタンスハードネスに基づくアンサンブル生成法（An Ensemble Generation Method Based on Instance Hardness）</news:title>
   <news:publication_date>2026-04-27T18:30:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684101</loc>
  <lastmod>2026-04-27T18:30:26Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>心電図の拍動分類と転移可能な深層表現（ECG Heartbeat Classification: A Deep Transferable Representation）</news:title>
   <news:publication_date>2026-04-27T18:30:26Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684099</loc>
  <lastmod>2026-04-27T18:30:16Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ハイブリッド圧電・磁気ニューロン：省エネ機械学習への提案（Hybrid Piezoelectric-Magnetic Neurons: A Proposal for Energy-Efficient Machine Learning）</news:title>
   <news:publication_date>2026-04-27T18:30:16Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684097</loc>
  <lastmod>2026-04-27T18:30:07Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>GritNetによる学習者成績予測の革新（GritNet: Student Performance Prediction with Deep Learning）</news:title>
   <news:publication_date>2026-04-27T18:30:07Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/684095</loc>
  <lastmod>2026-04-27T17:37:56Z</lastmod>
  <news:news>
   <news:publication>
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    <news:language>ja</news:language>
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   <news:title>銀河系超新星残骸 G179.0+2.6 の光学放射の発見（Optical Emission Associated with the Galactic Supernova Remnant G179.0+2.6）</news:title>
   <news:publication_date>2026-04-27T17:37:56Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>大規模無線ネットワークにおけるQoS（Quality of Service）提供の遅延解析（QoS Provisioning in Large Wireless Networks）</news:title>
   <news:publication_date>2026-04-27T17:37:46Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>低精度化と構造的圧縮で最小面積・低消費エネルギーを目指す深層学習ハードウェア設計（Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression）</news:title>
   <news:publication_date>2026-04-27T17:37:10Z</news:publication_date>
   <news:genres>Blog</news:genres>
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  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>高次元ハイパースペクトル画像のランダム化次元削減（Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification）</news:title>
   <news:publication_date>2026-04-27T17:36:33Z</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>低画質画像に対する顔検出の現状調査（Survey of Face Detection on Low-quality Images）</news:title>
   <news:publication_date>2026-04-27T17:36:17Z</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:title>GRUにおけるサンプリング不要の不確実性推定（Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families）</news:title>
   <news:publication_date>2026-04-27T17:36:05Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/684083</loc>
  <lastmod>2026-04-27T17:35:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>表現学習を双方向でつなぐRepGANの要点（Unsupervised Representation Adversarial Learning Network: from Reconstruction to Generation）</news:title>
   <news:publication_date>2026-04-27T17:35:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
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 <url>
  <loc>https://aibr.jp/archives/684081</loc>
  <lastmod>2026-04-27T16:44:22Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
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   <news:publication_date>2026-04-27T16:44:22Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/684079</loc>
  <lastmod>2026-04-27T16:44:06Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
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   <news:title>外部データの低次元埋め込みを拡張する数学的解析（Mathematical Analysis on Out-of-Sample Extensions）</news:title>
   <news:publication_date>2026-04-27T16:44:06Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/684077</loc>
  <lastmod>2026-04-27T16:43:40Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>同期していない音声映像イベントの弱教師付き表現学習（Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events）</news:title>
   <news:publication_date>2026-04-27T16:43:40Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/684075</loc>
  <lastmod>2026-04-27T16:42:19Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>重要度重み付きリスク推定量のサンプリング歪度がモデル選択に与える影響（Effects of sampling skewness of the importance-weighted risk estimator on model selection）</news:title>
   <news:publication_date>2026-04-27T16:42:19Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/684073</loc>
  <lastmod>2026-04-27T16:41:24Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>連続状態・行動空間における非パラメトリック確率的合成勾配降下法によるQ学習（Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems）</news:title>
   <news:publication_date>2026-04-27T16:41:24Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684071</loc>
  <lastmod>2026-04-27T16:41:08Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>中心的なブルーナゲット段階にある高赤方偏移銀河を深層学習で同定（Deep Learning Identifies High-z Galaxies in a Central Blue Nugget Phase in a Characteristic Mass Range）</news:title>
   <news:publication_date>2026-04-27T16:41:08Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/684069</loc>
  <lastmod>2026-04-27T16:40:25Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>4次元F-理論における非ヒッグス不変ゲージ群の機械学習による識別（Learning non-Higgsable gauge groups in 4D F-theory）</news:title>
   <news:publication_date>2026-04-27T16:40:25Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 </url>
 <url>
  <loc>https://aibr.jp/archives/684067</loc>
  <lastmod>2026-04-27T15:49:13Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ファストラジオバーストで銀河間のバリオン（普通物質）分布を計る方法（MEASURING THE CIRCUM- AND INTER-GALACTIC BARYON CONTENTS WITH FAST RADIO BURSTS）</news:title>
   <news:publication_date>2026-04-27T15:49:13Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684065</loc>
  <lastmod>2026-04-27T15:47:02Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>機能的生成設計（Functional Generative Design: An Evolutionary Approach to 3D-Printing）</news:title>
   <news:publication_date>2026-04-27T15:47:02Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684063</loc>
  <lastmod>2026-04-27T15:46:53Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>テレスコーピング・ブレグマン型近接勾配法：Lipschitz連続性仮定を外す最適化（A TELESCOPING BREGMANIAN PROXIMAL GRADIENT METHOD WITHOUT THE GLOBAL LIPSCHITZ CONTINUITY ASSUMPTION）</news:title>
   <news:publication_date>2026-04-27T15:46:53Z</news:publication_date>
   <news:genres>Blog</news:genres>
  </news:news>
 </url>
 <url>
  <loc>https://aibr.jp/archives/684061</loc>
  <lastmod>2026-04-27T15:46:37Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>ワンショット学習を現実に近づける深層トリプレットランキング（Deep Triplet Ranking Networks for One-Shot Recognition）</news:title>
   <news:publication_date>2026-04-27T15:46:37Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/684059</loc>
  <lastmod>2026-04-27T15:46:21Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>限られた試行で極値リスクを評価する逐次サンプリング法（A Sequential Sampling Strategy for Extreme Event Statistics in Nonlinear Dynamical Systems）</news:title>
   <news:publication_date>2026-04-27T15:46:21Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/684057</loc>
  <lastmod>2026-04-27T15:45:44Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>人による導きと内発的動機付けを組み合わせたロボット運動スキル学習（Socially Guided Intrinsic Motivation for Robot Learning of Motor Skills）</news:title>
   <news:publication_date>2026-04-27T15:45:44Z</news:publication_date>
   <news:genres>Blog</news:genres>
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 <url>
  <loc>https://aibr.jp/archives/684055</loc>
  <lastmod>2026-04-27T15:44:50Z</lastmod>
  <news:news>
   <news:publication>
    <news:name>AI Benchmark Research</news:name>
    <news:language>ja</news:language>
   </news:publication>
   <news:title>深層動的ブーステッドフォレスト（Deep Dynamic Boosted Forest）</news:title>
   <news:publication_date>2026-04-27T15:44:50Z</news:publication_date>
   <news:genres>Blog</news:genres>
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