Rchr
J-GLOBAL ID:201701019963014922   Update date: Mar. 03, 2024

Kawahara Yoshinobu

カワハラ ヨシノブ | Kawahara Yoshinobu
Affiliation and department:
Job title: Professor
Other affiliations (2):
  • RIKEN  Center for Advanced Intelligence Project   Team Leader
  • Ministry of Education, Culture, Sports, Science and Technology  Senior Scientific Research Specialist
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  (24):
  • 2022 - 2027 Fronteers of Data Science by Probabilistic Description and Inference of Dynamics
  • 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
  • 2020 - 2024 大局的エントロピー予測によるデータ圧縮の最適化技法の開発
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Papers (112):
  • K. Fujii, K. Tsutsui, A. Scott, H. Nakahara, N. Takeishi, Y. Kawahara. Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations. Proceedings of the 16th Int'l Conf. on Agents and Artificial Intelligence (ICAART'24). 2024. 2. 27-39
  • K. Fujii, N. Takeishi, Y. Kawahara, K. Takeda. Decentralized Policy Learning with Partial Observation and Mechanical Constraints for Multi-person Modeling Learning Systems. Neural Networks. 2024. 171. 40-52
  • Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda. Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios. IEEE Transactions on Neural Networks and Learning Systems. 2024. (accepted)
  • Jingjing Bai, Yoshinobu Kawahara. MANet: Mixed Attention Network for Visual Explanation. New Generation Computing. 2024. (accepted)
  • H. Endo, S. Ikeda, K. Harada, H. Yamagata, T. Matsubara, K. Matsuo, Y. Kawahara, O. Yamashita. Manifold alteration between major depressive disorder and healthy control subjects using dynamic mode decomposition in resting-state fMRI data. Frontiers in Psychiatry. 2024. 15. 1288808
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MISC (13):
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Patents (24):
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 (15):
  • 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
  • 2022/08 - 現在 Ministry of Education, Culture, Sports, Science and Technology Senior Scientific Research Specialist
  • 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
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Committee career (14):
  • 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)
  • 2019/08 - 現在 International Journal of Mathematics for Industry (World Scientific) Subject Editor
  • 2017/01 - 現在 Neural Networks (Elsevier) Action Editor
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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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