Rchr
J-GLOBAL ID：202301000987173350
Update date: Oct. 02, 2024
Takeishi Naoya
タケイシ ナオヤ | Takeishi Naoya
Affiliation and department：
Job title：
Lecturer
Other affiliations (2)：
Homepage URL (2)：
https://ntake.jp/ja
,
https://ntake.jp
Research field (1)：
Intelligent informatics
Research keywords (2)：
machine learning
, dynamical systems
Research theme for competitive and other funds (3)：
- 2020 - 2025 Development of advanced machine learning methods in cooperation with prior knowledge as simulators
- 2019 - 2021 Intelligent Sensor Data Analysis based on Cooperation of Knowledge Bases and Statistical Machine Learning
- 2015 - 2018 小惑星探査高効率化のための形状・運動自動推定および自動画像航法
Papers (38)：
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Anomaly Detection and Factor Estimation by Graph Deep Learning in Storage Batteries. 2024. 144. 10. 997-1004
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João A. Candido Ramos, Lionel Blondé, Naoya Takeishi, Alexandros Kalousis. Mimicking Better by Matching the Approximate Action Distribution. Proceedings of the 41st International Conference on Machine Learning. 2024. 5513-5532
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Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda. Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling. Neural Networks. 2024. 171. 40-52
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Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios. IEEE Transactions on Neural Networks and Learning Systems. 2024. 1-15
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Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara. Adaptive Action Supervision in Reinforcement Learning from Real-World Multi-Agent Demonstrations. Proceedings of the 16th International Conference on Agents and Artificial Intelligence. 2024. 27-39
ｍore...
Patents (2)：
Lectures and oral presentations (47)：
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機械学習と数理モデル:順問題と逆問題のデータ駆動型解法
(日本地震学会2024年度秋季大会 2024)
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Learning Neural Observables for Koopman Operators
(Workshop on Koopman Operators in Robotics, Robotics: Science and Systems 2024 2024)
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データと物理モデルを融合した確率的モデリングとその時空間データへの適用
(第38回人工知能学会全国大会 2024)
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機械学習と科学モデル
(第38回人工知能学会全国大会 2024)
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実世界マルチエージェントの手本を用いた強化学習における適応的な行動の活用
(第38回人工知能学会全国大会 2024)
ｍore...
Education (3)：
- 2015 - 2018 The University of Tokyo The Graduate School of Engineering Department of Aeronautics and Astronautics
- 2013 - 2015 The University of Tokyo The Graduate School of Engineering Department of Aeronautics and Astronautics
- 2009 - 2013 The University of Tokyo The Faculty of Engineering Department of Aeronautics and Astroronautics
Professional career (1)：
- Ph.D. in Engineering (The University of Tokyo)
Work history (5)：
- 2023/08 - 現在 The University of Tokyo Department of Advanced Interdisciplinary Studies, The Graduate School of Engineering Lecturer
- 2023/07 - 2023/07 The University of Tokyo Department of Aeronautics and Astronautics, The Graduate School of Engineering Lecturer
- 2020/09 - 2023/06 University of Applied Sciences and Arts Western Switzerland Geneva School of Business Administration Collaborateur Scientifique
- 2018/04 - 2020/08 RIKEN Structured Learning Team, Center for Advanced Intelligence Project Postdoctoral Researcher
- 2015/03 - 2018/03 Japan Society for the Promotion of Science Research Fellowship DC1
Committee career (2)：
- 2024/04 - 現在 Special Interest Group on Smart Manufacturing and System Health Management, Type-2 SIG of the Japanese Society of Artificial Intelligence Secretary
- 2022/06 - 現在 The Japanese Society for Artificial Intelligence Editorial board member
Association Membership(s) (1)：
The Japanese Society for Artificial Intelligence
