Takeishi Naoya 武石直也

Researcher Number	20824030
Other IDs
Affiliation (Current)	2026: 東京大学, 先端科学技術研究センター, 講師 2026: 東京大学, 大学院工学系研究科(工学部), 講師
Affiliation (based on the past Project Information) *help	2026: 東京大学, 大学院工学系研究科(工学部), 講師 2023 – 2026: 東京大学, 先端科学技術研究センター, 講師 2018 – 2020: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員
Review Section/Research Field	Principal Investigator Transformative Research Areas, Section (IV) / Basic Section 61030:Intelligent informatics-related / Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related / Basic Section 60030:Statistical science-related / 1002:Human informatics, applied informatics and related fields Except Principal Investigator Basic Section 25010:Social systems engineering-related / Transformative Research Areas, Section (IV)
Keywords	Principal Investigator 機械学習 / データ駆動型推論 / 専門家知識 / 事前知識 / 統計的機械学習 / 流体計測 / 偏微分方程式 / 統計的関係学習 / 異常検知 / ナレッジグラフ / センサデータ解析 / 知識ベース / シミュレータ … More Except Principal Investigator … More 動的システム / 機械学習 / 運用最適化 / 動的システム学習 / 異常検知・診断 / 半教師ありドメイン適応 / 残存寿命予測 / 潜在健全指標 / 健全性予測・監視 / 生物集団 / 動物行動 / 数理モデル / 移動系列 / インタラクション / 集団運動 Less

自由にクエリできないシミュレーションに基づく推論Principal Investigator
- Principal Investigator
  
  武石直也
- Project Period (FY)
  2026 – 2029
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
  Basic Section 60030:Statistical science-related
  Sections That Are Subject to Joint Review: Basic Section60030:Statistical science-related , Basic Section61030:Intelligent informatics-related
- Research Institution
  The University of Tokyo
Theoretical and methodological foundation for data-driven inference with application to high-dimensional measurementArea Organizer
- Area Organizer
  
  武石直也
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (B)
Data-Driven Inference: Mathematical Foundation and Application to High-Dimensional MeasurementsPrincipal Investigator
- Principal Investigator
  
  武石直也
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (B)
- Review Section
  
  Transformative Research Areas, Section (IV)
- Research Institution
  The University of Tokyo
Development of Data-Driven Inference Methods Based on Structures of Dynamical SystemsPrincipal Investigator
- Principal Investigator
  
  武石直也
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (B)
- Review Section
  
  Transformative Research Areas, Section (IV)
- Research Institution
  The University of Tokyo
データ駆動型推論の数理・計算基盤構築と高次元計測への展開Principal Investigator
- Principal Investigator
  
  武石直也
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (B)
- Review Section
  
  Transformative Research Areas, Section (IV)
- Research Institution
  The University of Tokyo
力学系の構造を活用した革新的データ駆動型推論手法の開発Principal Investigator
- Principal Investigator
  
  武石直也
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (B)
- Review Section
  
  Transformative Research Areas, Section (IV)
- Research Institution
  The University of Tokyo
Study on Prognostics and Operation Optimization based on Latent Health Index Models
- Principal Investigator
  
  矢入健久
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 25010:Social systems engineering-related
- Research Institution
  The University of Tokyo
Development of advanced machine learning methods in cooperation with prior knowledge as simulatorsPrincipal Investigator
- Principal Investigator
  
  武石直也
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  The University of Tokyo
  Institute of Physical and Chemical Research
Technologies for rule/learning-based analysis and intervention policy in hierarchical bio-navigation
- Principal Investigator
  
  藤井慶輔
- Project Period (FY)
  2021 – 2025
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (IV)
- Research Institution
  Nagoya University
Intelligent Sensor Data Analysis based on Cooperation of Knowledge Bases and Statistical Machine LearningPrincipal Investigator
- Principal Investigator
  
  Takeishi Naoya
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  1002:Human informatics, applied informatics and related fields
- Research Institution
  Institute of Physical and Chemical Research

All 2024 2023 2022 2021 2020 2019 2018

All Journal Article Presentation

[Journal Article] Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling2024
- Author(s)
  Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
- Journal Title
  
  Neural Networks
  
  Volume: 171 Pages: 42-50
- DOI
  10.1016/j.neunet.2023.11.068
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-21H05300, KAKENHI-PLANNED-22H05106, KAKENHI-PROJECT-22H00516, KAKENHI-PROJECT-21H04892, KAKENHI-PROJECT-23K27972
[Journal Article] Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations2024
- Author(s)
  Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara
- Journal Title
  
  Proceedings of the 16th International Conference on Agents and Artificial Intelligence (ICAART'24)
  
  Volume: 2 Pages: 27-39
- DOI
  10.5220/0012261100003636
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K17673, KAKENHI-PLANNED-21H05300, KAKENHI-PROJECT-21H04892, KAKENHI-PROJECT-23K27972
[Journal Article] Mimicking Better by Matching the Approximate Action Distribution2024
- Author(s)
  Joao A. Candido Ramos, Lionel Blonde, Naoya Takeishi, Alexandros Kalousis
- Journal Title
  
  Proceedings of the 41st International Conference on Machine Learning
  
  Volume: - Pages: 5513-5532
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19869
[Journal Article] Estimating counterfactual treatment outcomes over time in complex multiagent scenarios2024
- Author(s)
  Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
- Journal Title
  
  IEEE Transactions on Neural Networks and Learning Systems
  
  Volume: - Issue: 2 Pages: 1-15
- DOI
  10.1109/tnnls.2024.3361166
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-21H05300, KAKENHI-PROJECT-22H00516, KAKENHI-PROJECT-21H04892, KAKENHI-PROJECT-23K27972
[Journal Article] Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability2023
- Author(s)
  Maciej Falkiewicz, Naoya Takeishi, Imahn Shekhzadeh, Antoine Wehenkel, Arnaud Delaunoy, Gilles Louppe, Alexandros Kalousis
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 36 Pages: 1082-1099
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19869
[Journal Article] Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections2022
- Author(s)
  Naoya Takeishi, Keisuke Fujii, Koh Takeuchi, Yoshinobu Kawahara
- Journal Title
  
  SIAM Journal on Applied Dynamical Systems
  
  Volume: 21(2) Issue: 2 Pages: 1030-1058
- DOI
  10.1137/21m1399907
- Peer Reviewed
- Data Source
  KAKENHI-ORGANIZER-21H05293, KAKENHI-PLANNED-21H05300
[Journal Article] Estimating counterfactual treatment outcomes over time in complex multi-vehicle simulation2022
- Author(s)
  Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda
- Journal Title
  
  30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022)
  
  Volume: 7 Pages: 1-4
- Peer Reviewed
- Data Source
  KAKENHI-PLANNED-21H05300
[Journal Article] Learning Dynamics Models with Stable Invariant Sets2021
- Author(s)
  Naoya Takeishi and Kawahara Yoshinobu
- Journal Title
  
  Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence
  
  Volume: －
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K21550
[Journal Article] Learning interaction rules from multi-animal trajectories via augmented behavioral models2021
- Author(s)
  Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara
- Journal Title
  
  Advances in Neural Information Processing Systems (NeurIPS'21)
  
  Volume: 34
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PLANNED-21H05300
[Journal Article] Knowledge-Based Regularization in Generative Modeling2020
- Author(s)
  Naoya Takeishi、Yoshinobu Kawahara
- Journal Title
  
  Proceedings of the 29th International Joint Conference on Artificial Intelligence
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K21550
[Journal Article] Neural Gray-Box Identification of Nonlinear Partial Differential Equations2019
- Author(s)
  Sasaki Riku、Takeishi Naoya、Yairi Takehisa、Hori Koichi
- Journal Title
  
  Lecture Notes in Computer Science
  
  Volume: 11671 Pages: 309-321
- DOI
  10.1007/978-3-030-29911-8_24
- ISBN
  9783030299101, 9783030299118
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K21550
[Journal Article] Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection2019
- Author(s)
  Naoya Takeishi
- Journal Title
  
  Proceedings of the 2019 International Conference on Data Mining Workshops
  
  Volume: - Pages: 793-798
- DOI
  10.1109/icdmw.2019.00117
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K21550
[Journal Article] Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators2019
- Author(s)
  Naoya Takeishi
- Journal Title
  
  Proceedings of Machine Learning Research
  
  Volume: 101 Pages: 956-971
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K21550
[Journal Article] Factorially Switching Dynamic Mode Decomposition for Koopman Analysis of Time-Variant Systems2018
- Author(s)
  N. Takeishi, T. Yairi and Y. Kawahara
- Journal Title
  
  Proceedings of 2018 IEEE Conference on Decision and Control (CDC'18)
  
  Volume: -- Pages: 6402-6408
- DOI
  10.1109/cdc.2018.8619846
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18H03287, KAKENHI-PROJECT-19K21550
[Presentation] Toward Bayesian Deep Grey-box Modeling2024
- Author(s)
  Naoya Takeishi
- Organizer
  International Conference on Scientific Computing and Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19869
[Presentation] 確率微分方程式の学習において物理モデルおよび正則化を導入する効果の検証2024
- Author(s)
  大坂光, 武石直也, 矢入健久
- Organizer
  第27回情報論的学習理論ワークショップ
- Data Source
  KAKENHI-PROJECT-20K19869
[Presentation] Learning Neural Observables for Koopman Operators2024
- Author(s)
  Naoya Takeishi
- Organizer
  Workshop on Koopman Operators in Robotics, RSS 2024
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19869
[Presentation] 機械学習と科学モデル2024
- Author(s)
  武石直也
- Organizer
  第38回人工知能学会全国大会
- Invited
- Data Source
  KAKENHI-PROJECT-20K19869
[Presentation] 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2024
- Author(s)
  武石直也
- Organizer
  日本地震学会2024年度秋季大会
- Invited
- Data Source
  KAKENHI-PROJECT-20K19869
[Presentation] Toward Bayesian Deep Grey-box Modeling2024
- Author(s)
  Naoya Takeishi
- Organizer
  International Conference on Scientific Computing and Machine Learning
- Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-21H05300
[Presentation] 深層学習による時系列異常検知手法の課題点2024
- Author(s)
  中島琢登, 矢入健久, 武石直也
- Organizer
  第１回スマートマニュファクチャリングとシステム健全性管理研究会
- Data Source
  KAKENHI-PROJECT-24K01110
[Presentation] 深層ハイブリッドモデルとその研究開発への適用にむけて2024
- Author(s)
  武石直也
- Organizer
  第27回情報論的学習理論ワークショップ
- Data Source
  KAKENHI-PROJECT-20K19869
[Presentation] 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2024
- Author(s)
  大坂光, リュージュンフイ, 武石直也, 矢入健久
- Organizer
  第38回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-20K19869
[Presentation] 機械学習と科学モデルの融合2023
- Author(s)
  武石直也
- Organizer
  第46回日本神経科学大会
- Invited
- Data Source
  KAKENHI-PLANNED-21H05300
[Presentation] 機械学習と科学モデルの融合2023
- Author(s)
  武石直也
- Organizer
  第46回日本神経科学大会
- Invited
- Data Source
  KAKENHI-PROJECT-20K19869
[Presentation] 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2021
- Author(s)
  藤井慶輔, 武石直也, 筒井和詩, 藤岡慧明, 西海望, 田中良弥, 福代三華, 井出薫, 河野裕美, 依田憲, 高橋晋, 飛龍志津子, 河原吉伸
- Organizer
  第24回情報論的学習理論ワークショップ (IBIS 2021)
- Data Source
  KAKENHI-PLANNED-21H05300
[Presentation] 安定不変集合をもつ力学系の学習2020
- Author(s)
  武石直也, 河原吉伸
- Organizer
  第23回情報論的学習理論ワークショップ
- Data Source
  KAKENHI-PROJECT-19K21550
[Presentation] 再構成誤差のシャープレイ値による異常検知の説明2019
- Author(s)
  武石直也
- Organizer
  第22回情報論的学習理論ワークショップ
- Data Source
  KAKENHI-PROJECT-19K21550
[Presentation] 時変動的モード分解2019
- Author(s)
  武石直也
- Organizer
  第33回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-19K21550
[Presentation] 知識グラフによる生成モデル学習の正則化2018
- Author(s)
  武石直也
- Organizer
  第21回情報論的学習理論ワークショップ
- Data Source
  KAKENHI-PROJECT-19K21550
[Presentation] Knowledge-Based Distant Regularization in Learning Probabilistic Models2018
- Author(s)
  Naoya Takeishi、Kosuke Akimoto
- Organizer
  The 8th International Workshop on Statistical Relational AI
- Data Source
  KAKENHI-PROJECT-19K21550

1. 池田正弘 (00749690)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 赤嶺政仁 (00835465)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 藤井慶輔 (70747401)

# of Collaborated Projects: 1 results

# of Collaborated Products: 6 results
4. 田部井靖生 (20589824)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 村上久 (20755467)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 西海望 (10760390)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
7. 矢入健久 (90313189)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
8. カーンサミル (10898836)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. KAWAHARA Yoshinobu

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results
10. 筒井和詩

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Takeishi Naoya 武石 直也

Research Projects

Research Products

Co-Researchers

自由にクエリできないシミュレーションに基づく推論Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Theoretical and methodological foundation for data-driven inference with application to high-dimensional measurementArea Organizer

Area Organizer

Project Period (FY)

Research Category

Data-Driven Inference: Mathematical Foundation and Application to High-Dimensional MeasurementsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of Data-Driven Inference Methods Based on Structures of Dynamical SystemsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

データ駆動型推論の数理・計算基盤構築と高次元計測への展開Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

力学系の構造を活用した革新的データ駆動型推論手法の開発Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Study on Prognostics and Operation Optimization based on Latent Health Index Models

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of advanced machine learning methods in cooperation with prior knowledge as simulatorsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Technologies for rule/learning-based analysis and intervention policy in hierarchical bio-navigation

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Intelligent Sensor Data Analysis based on Cooperation of Knowledge Bases and Statistical Machine LearningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Mimicking Better by Matching the Approximate Action Distribution2024

Author(s)

Journal Title

Data Source

[Journal Article] Estimating counterfactual treatment outcomes over time in complex multiagent scenarios2024

Author(s)

Journal Title

DOI

Takeishi Naoya 武石直也