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J-GLOBAL ID：201701019963014922   Update date: Jun. 18, 2024

Kawahara Yoshinobu

カワハラ ヨシノブ | Kawahara Yoshinobu
Affiliation and department：
Osaka University Graduate School of Information Science and Technology

About Osaka University Graduate School of Information Science and Technology


Job title： Professor
Other affiliations (1)：
  • RIKEN  Center for Advanced Intelligence Project   Team Leader
Homepage URL  (2)： https://mls.ist.osaka-u.ac.jp/~kawahara/ ,  https://mls.ist.osaka-u.ac.jp/en/~kawahara/
Research field  (3)： Computational science ,  Intelligent informatics ,  Applied mathematics and statistics
Research keywords  (4)： Machine Learning ,  Dynamical System ,  Time-Series Data ,  Data Science
Research theme for competitive and other funds  (25)：
  • 2022 - 2027 Fronteers of Data Science by Probabilistic Description and Inference of Dynamics
  • 2023 - 2027 ストリームデータ圧縮の融合符号化による高信頼データ伝送技術の開発
  • 2022 - 2027 順逆融合に基づく複雑ダイナミクスの予測と制御に資する統計的機械学習とその応用
  • 2024 - 2026 IoTストリームデータの適応的圧縮技法の開発
  • 2019 - 2025 作用素論的データ解析に基づく複雑ダイナミクス計算基盤の創出
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Papers (116)：
  • 吉川譲二, 滝本憲弘, 武石直也, 河原吉伸, 船津陽平. 蓄電池におけるグラフ深層学習による異常検知及び要因推定. 電気学会論文誌. 2024. (accepted)
  • M. Ohnishi, I. Ishikawa, K. Lowrey, M. Ikeda, S.M. Kakade, Y. Kawahara. Koopman Spectrum Nonlinear Regulators and Efficient Online Learning. Transactions on Machine Learning Research. 2024. (accepted)
  • M. Weissenbacher, R. Agarwal, Y. Kawahara. SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning. Proceedings of the 41st International Conference on Machine Learning (ICML'24). 2024. (accepted)
  • R. Fukuma, K. Majima, Y. Kawahara, O. Yamashita, Y. Shiraishia, H. Kishima, T. Yanagisawa. Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition. Communications Biology. 2024. 7. 595
  • Jingjing Bai, Yoshinobu Kawahara. MANet: Mixed Attention Network for Visual Explanation. New Generation Computing. 2024
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MISC (13)：
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Patents (24)：
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Books (3)：
  • 人工知能学大事典
    共立出版 2017 ISBN:4320124200
  • 劣モジュラ最適化と機械学習 (機械学習プロフェッショナルシリーズ)
    講談社 2015 ISBN:4061529099
  • 統計的学習の基礎 -データマイニング・推論・予測-
    共立出版 2014 ISBN:432012362X
Education (5)：
  • 2005 - 2008 The University of Tokyo The Graduate School of Engineering Doctor Course
  • 2003 - 2005 The University of Tokyo The Graduate School of Engineering Master Course
  • 2001 - 2003 The University of Tokyo The Faculty of Engineering
  • 1999 - 2001 The University of Tokyo College of Arts and Sciences
  • 1996 - 1999 大阪府立 天王寺高等学校 理数科
Professional career (1)：
  • Doctor of Engineering (The University of Tokyo)
Work history (14)：
  • 2023/04 - 現在 Kyushu University Institute of Mathematics for Industry Visiting Professor
  • 2022/10 - 現在 Osaka University Graduate School of Information Science and Technology Professor
  • 2019/04 - 現在 Kobe University Graduate School of System Informatics Visiting Professor
  • 2016/09 - 現在 RIKEN Center for Advanced Intelligence Project (AIP) Team Leader
  • 2022/08 - 2024/07 Ministry of Education, Culture, Sports, Science and Technology Senior Scientific Research Specialist
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Committee career (17)：
  • 2024/06 - 現在 情報論的学習理論と機械学習 (IBISML) 研究会 幹事
  • 2024/04 - 現在 科学技術振興機構 領域アドバイザー(戦略的創造研究推進事業(さきがけ)「未来を予測し制御するための数理を活用した新しい科学の探索」領域)
  • 2023/04 - 現在 科学技術振興機構 領域アドバイザー(戦略的創造研究推進事業(ACT-X)「次世代AIを築く数理・情報科学の革新」領域)
  • 2023/02 - 現在 East Asia Section of SIAM (EASIAM) Executive Committee Member
  • 2021/04 - 現在 科学技術振興機構 領域アドバイザー(戦略的創造研究推進事業(さきがけ)「複雑な流動・輸送現象の解明・予測・制御に向けた新しい流体科学」領域)
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Awards (16)：
  • 2022/11 - 30th ACM SIGSPATIAL GIS 2022 Best Poster Award 「Estimating counterfactual treatment outcomes over time in complex multi-agent simulation」
  • 2021/06 - 人工知能学会 2020年度論文賞 「能動的変化点検知」(人工知能学会論文誌, Vol.35, No.5, E-JA10_1-10)
  • 2020/12 - Best Paper Award 「Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables」 (Neural Networks, Volume 117 (2019) Pages 94-103)
  • 2020/07 - The Japanese Society of Microscopy Award for Scientific Paper (Fundamentals) in 2020 「Highly biocompatible super-resolution fluorescence imaging using the fast photo switching fluorescent protein Kohinoor and SP0D-ExPAN with Lp-regularized image reconstruction」(Microscopy, Vol.67, No.2, pp.89-98, 2018)
  • 2020/04 - Ministry of Education, Culture, Sports, Science and Technology The Young Scientists’ Prize, The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology
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