Takeishi Naoya 武石直也

Researcher Number	20824030
Other IDs
Affiliation (Current)	2025: 東京大学, 先端科学技術研究センター, 講師
Affiliation (based on the past Project Information) *help	2023 – 2025: 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) / 1002:Human informatics, applied informatics and related fields / Basic Section 61030:Intelligent informatics-related Except Principal Investigator Basic Section 25010:Social systems engineering-related
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 異常検知・診断 / 動的システム / 残存寿命予測 / 機械学習 / 健全性予測・監視 Less

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
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
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 2021 2020 2019 2018

All Journal Article Presentation

[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] 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] 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] 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] 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] 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] 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] 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] 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
[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

1. 矢入健久 (90313189)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. カーンサミル (10898836)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 池田正弘 (00749690)

# of Collaborated Projects: 1 results

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

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. KAWAHARA Yoshinobu

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Takeishi Naoya 武石 直也

Research Projects

Research Products

Co-Researchers

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

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

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] Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability2023

Author(s)

Journal Title

Data Source

[Journal Article] Learning Dynamics Models with Stable Invariant Sets2021

Author(s)

Journal Title

Data Source

[Journal Article] Knowledge-Based Regularization in Generative Modeling2020

Author(s)

Journal Title

Data Source

[Journal Article] Neural Gray-Box Identification of Nonlinear Partial Differential Equations2019

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators2019

Author(s)

Journal Title

Data Source

[Journal Article] Shapley Values of Reconstruction Errors of PCA for Explaining Anomaly Detection2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Factorially Switching Dynamic Mode Decomposition for Koopman Analysis of Time-Variant Systems2018

Author(s)

Journal Title

DOI

Data Source

[Presentation] Toward Bayesian Deep Grey-box Modeling2024

Author(s)

Organizer

Data Source

[Presentation] 機械学習と科学モデルの融合2023

Author(s)

Organizer

Data Source

[Presentation] 安定不変集合をもつ力学系の学習2020

Author(s)

Takeishi Naoya 武石直也