Rchr
J-GLOBAL ID:202001000989405698   Update date: Feb. 14, 2026

Kera Hiroshi

ケラ ヒロシ | Kera Hiroshi
Affiliation and department:
Other affiliations (1):
  • National Institute of Informatics  Project Researcher
Research field  (3): Perceptual information processing ,  Intelligent informatics ,  Algebra
Research theme for competitive and other funds  (11):
  • 2025 - 2030 Transforming Weather Prediction with Deep Learning and Quantum Computing
  • 2025 - 2030 深層モデルの入力応答特性の包括的制御
  • 2023 - 2027 Artificial generation of upstream maritime heavy rains to govern intense-rain-induced disasters over land (AMAGOI)
  • 2024 - 2027 大規模代数計算のための計算代数および機械学習理論の構築
  • 2022 - 2026 Adversarial design in deep learning
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Papers (45):
  • Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki. Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners. International Conference on Learning Representations (ICLR). 2026
  • Yusuke Marumo, Kazuhiko Kawamoto, Satomi Tanaka, Shigenobu Hirano, Hiroshi Kera. Matching Semantically Similar Non-Identical Objects. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2026
  • Hiroshi Kera, Nico Pelleriti, Yuki Ishihara, Max Zimmer, Sebastian Pokutta. Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms. Advances in Neural Information Processing Systems (NeurIPS). 2025
  • Shingo Ayabe, Hiroshi Kera, Kazuhiko Kawamoto. Online Fine-tuning for Robustness in Offline Reinforcement Learning: Actor-Critic vs Decision Transformer. 2025
  • Ryo Shibazaki, Kazuhiko Kawamoto, Hiroshi Kera. Suppressing Robust Overfitting in Positive and Unlabeled Learning. 2025. 147-150
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MISC (97):
  • Yusuke,Marumo, Kazuhiko,Kawamoto, Satomi,Tanaka, Shigenobu,Hirano, Hiroshi,Kera. Matching Non-Identical Objects. 情報処理学会研究報告コンピュータビジョンとイメージメディア(CVIM) 2026-CVIM-244(42) 1-8. 2026
  • 神谷,涼, 計良,宥志, 川本,一彦. 概念分解に基づく視覚言語モデルのプロンプト学習の説明. 情報処理学会研究報告コンピュータビジョンとイメージメディア(CVIM) 2026-CVIM-244(42) 1-8. 2026
  • Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto. Zero-Shot Textual Explanations via Translating Decision-Critical Features. 2025
  • Shingo Ayabe, Hiroshi Kera, Kazuhiko Kawamoto. Adversarial Fine-tuning in Offline-to-Online Reinforcement Learning for Robust Robot Control. arXiv. 2025. abs/2510.13358
  • Hiroshi Kera, Achim Kehrein. Gradient-Weighted, Data-Driven Normalization for Approximate Border Bases - Concept and Computation. arXiv. 2025. abs/2506.09529
more...
Lectures and oral presentations  (10):
  • Identifying Important Group of Pixels using Interactions
    (2024)
  • Learning to Do Computational Algebra via Transformer
    (ERATO MMSD Project Colloquium (Invited seminar talk) 2024)
  • Interplay of machine learning;algebraic computation
    (Eighth International Workshop on Symbolic-Neural Learning (SNL2024) 2024)
  • Transformer in Vision and Algebra
    (The 2nd Vision, Graphics and Sensing Workshop 2024)
  • Transformer によるグレブナー基底計算とその計算代数的課題
    (九州大学IMI共同利用・短期共同研究 公開プログラム「記号計算の高速化と産業課題解決への応用」 2023)
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Education (3):
  • 2017 - 2020 The University of Tokyo The Graduate School of Information Science and Technology Department of Information and Communication Engineering, Ph.D. (Information Science and Technology)
  • 2015 - 2017 The University of Tokyo The Graduate School of Information Science and Technology Department of Information and Communication Engineering
  • 2013 - 2015 The University of Tokyo The Faculty of Engineering Department of Information and Communication Engineering
Professional career (1):
  • Ph.D. (The University of Tokyo)
Work history (8):
  • 2025/04 - 現在 Chiba University Institute for Advanced Academic Research Associate Professor
  • 2025/10 - 2030/09 National Institute of InformaticsNational Institute of Informatics Project Researcher
  • 2024/10 - 2025/09 Zuse Institute Berlin Guest Researcher
  • 2024/04 - 2025/03 Chiba University
  • 2021/04 - 2024/03 Chiba University Assistant Professor
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Awards (18):
  • 2026/01 - 情報処理学会 情報処理学会研究報告コンピュータビジョンとイメージメディア研究会 CVIM奨励賞 似て非なる物体間の特徴点マッチング
  • 2025/11 - IWACIII 2025 Young Researcher Award Online Fine-tuning for Robustness in Offline Reinforcement Learning: Actor-Critic vs Decision TransformerOnline Fine-tuning for Robustness in Offline Reinforcement Learning: Actor-Critic vs Decision Transformer
  • 2025/08 - CVIM研究会 MIRU論文評価貢献賞
  • 2024/08 - 第 27回 画像の認識・理解シンポジウム MIRU2024 インタラクティブ発表賞 敵対的摂動に頑健なPositive-Unlabeled学習
  • 2024 - PRMU研究奨励賞
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