Rchr
J-GLOBAL ID：202301000987173350
Update date: May. 03, 2024
Takeishi Naoya
タケイシ ナオヤ | Takeishi Naoya
Affiliation and department：
Job title：
Lecturer
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 (37)：
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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
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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
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Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis. Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. Advances in Neural Information Processing Systems 36. 2023. 1082-1099
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Lectures and oral presentations (41)：
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On incorporation of machine learning and scientific models
(The 46th Annual Meeting of the Japan Neuroscience Society 2023)
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力学系の機械学習における事前知識活用の方法
(第25回情報論的学習理論ワークショップ 2022)
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混合密度ネットワークを用いた消費電力量予測手法の開発
(令和4年 電気学会 電力・エネルギー部門大会 2022)
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Variational Autoencoder with Differentiable Physics Engine for Human Gait Analysis and Synthesis
(Deep Generative Models and Downstream Applications Workshop 2021)
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生物集団の軌跡から相互作用の規則を学習するための拡張行動モデル
(第24回情報論的学習理論ワークショップ 2021)
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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
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 (1)：
- 2022/06 - 現在 The Japanese Society for Artificial Intelligence Editorial board member
Association Membership(s) (1)：
The Japanese Society for Artificial Intelligence
