Ishibashi Hideaki 石橋英朗

Researcher Number	30838389
Other IDs
Affiliation (Current)	2025: 九州工業大学, 大学院生命体工学研究科, 助教
Affiliation (based on the past Project Information) *help	2020 – 2024: 九州工業大学, 大学院生命体工学研究科, 助教
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related Except Principal Investigator Basic Section 61040:Soft computing-related
Keywords	Principal Investigator マルチタスク学習 / メタ学習 / 情報幾何学 / メタモデリング / 変分推論 / Energy-based model / スコアマッチング / 転移学習 / ガウス過程 / 階層モデリング … More Except Principal Investigator … More データ集合体 / マルチレベルモデリング / 多様体モデリング / マルチタスク学習 / メタモデリング / マルチビュー / マルチドメイン / 最適輸送距離 / メタモデル Less

Multi-task learning of variational Bayesian methods based on information geometrical meta-modelingPrincipal Investigator
- Principal Investigator
  
  石橋英朗
- Project Period (FY)
  2024 – 2026
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Kyushu Institute of Technology
Meta-modeling method for a set of energy-based modelsPrincipal Investigator
- Principal Investigator
  
  石橋英朗
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Kyushu Institute of Technology
Generative manifold modeling of set of datasets based on optimal transport distance
- Principal Investigator
  
  古川徹生
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61040:Soft computing-related
- Research Institution
  Kyushu Institute of Technology
Information geometrical hierarchical modelingPrincipal Investigator
- Principal Investigator
  
  Ishibashi Hideaki
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Kyushu Institute of Technology

All 2023 2022 2021

All Journal Article Presentation

[Journal Article] ATNAS: Automatic Termination for Neural Architecture Search2023
- Author(s)
  Sakamoto Kotaro、Ishibashi Hideaki、Sato Rei、Shirakawa Shinichi、Akimoto Youhei、Hino Hideitsu
- Journal Title
  
  Neural Networks
  
  Volume: 166 Pages: 446-458
- DOI
  10.1016/j.neunet.2023.07.011
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17951, KAKENHI-PROJECT-23K24909
[Journal Article] Multi-task manifold learning for small sample size datasets2022
- Author(s)
  Ishibashi Hideaki、Higa Kazushi、Furukawa Tetsuo
- Journal Title
  
  Neurocomputing
  
  Volume: 473 Pages: 138-157
- DOI
  10.1016/j.neucom.2021.11.043
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19865, KAKENHI-PROJECT-21K12061
[Journal Article] Low-rank kernel decomposition for scalable manifold modeling2022
- Author(s)
  K. Miyazaki, S. Takano, R. Tsuno, H. Ishibashi, T. Furukawa
- Journal Title
  
  2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022
  
  Volume: - Pages: 1-6
- DOI
  10.1109/scisisis55246.2022.10001865
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K12061
[Journal Article] Visual analytics of set data for knowledge discovery and member selection support2022
- Author(s)
  Watanabe Ryuji、Ishibashi Hideaki、Furukawa Tetsuo
- Journal Title
  
  Decision Support Systems
  
  Volume: 152 Pages: 113635-113635
- DOI
  10.1016/j.dss.2021.113635
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K19865, KAKENHI-PROJECT-21K12061
[Journal Article] Principal Component Analysis for Gaussian Process Posteriors2022
- Author(s)
  Ishibashi Hideaki、Akaho Shotaro
- Journal Title
  
  Neural Computation
  
  Volume: 34 Issue: 5 Pages: 1189-1219
- DOI
  10.1162/neco_a_01489
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K19865, KAKENHI-PROJECT-17H01793
[Presentation] A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets2023
- Author(s)
  Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino
- Organizer
  The 26th International Conference on Artificial Intelligence and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17951
[Presentation] モデルやタスクの種類に非依存なマルチタスク学習の理論2023
- Author(s)
  石橋英朗
- Organizer
  スマートインフォメディアシステム研究会
- Data Source
  KAKENHI-PROJECT-22K17951
[Presentation] ダイナミクスとキネマティクスのメタモデリング：最適輸送最小化によるアプローチ2023
- Author(s)
  德永優希，竹村綜一朗，田中大揮，石橋英朗，古川徹生
- Organizer
  日本神経回路学会全国大会
- Data Source
  KAKENHI-PROJECT-21K12061
[Presentation] Sparse approximation of unsupervised kernel regressionfor large scale relational data2022
- Author(s)
  Miyazaki Kazuki and Ishibashi Hideaki and Furukawa Tetsuo
- Organizer
  The 3rd International Symposium on Neuromorphic AI Hardware
- Data Source
  KAKENHI-PROJECT-20K19865
[Presentation] Meta-modeling of manifold models for dynamical systems through biased optimal transport distance minimization2022
- Author(s)
  Nakashima Seitaro, Ishibashi Hideaki, Furukawa Tetsuo
- Organizer
  The 3rd International Symposium on Neuromorphic AI Hardware
- Data Source
  KAKENHI-PROJECT-20K19865
[Presentation] Simultaneous Meta-modeling of Dynamics and Kinematics based on the Hierarchical Manifold Modeling2022
- Author(s)
  Tanka Daiki, Ishibashi Hideaki, Furukawa Tetsuo
- Organizer
  The 3rd International Symposium on Neuromorphic AI Hardware
- Data Source
  KAKENHI-PROJECT-20K19865
[Presentation] Sparse approximation of unsupervised kernel regressionfor large scale relational data2022
- Author(s)
  K. Miyazaki, H. Ishibashi, T. Furukawa
- Organizer
  The 3rd International Symposium on Neuromorphic AI Hardware
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12061
[Presentation] Scalable manifold modeling by Nadaraya-Watson kernel regression2022
- Author(s)
  Miyazaki Kazuki, Takano Shuhei, Tsuno Ryo, Ishibashi Hideaki, Furukawa Tetsuo
- Organizer
  The 15th International Conference on Innovative Computing, Information and Control
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K19865
[Presentation] Meta-modeling of manifold models for dynamical systems through biased optimal transport distance minimization2022
- Author(s)
  S. Nakashima, H. Ishibashi, T. Furukawa
- Organizer
  The 3rd International Symposium on Neuromorphic AI Hardware
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12061
[Presentation] Simultaneous Meta- modeling of Dynamics and Kinematics based on the Hierarchical Manifold Modeling2022
- Author(s)
  D. Tanaka, H. Ishibashi, T. Furukawa
- Organizer
  The 3rd International Symposium on Neuromorphic AI Hardware
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12061
[Presentation] Scalable manifold modeling by Nadaraya-Watson kernel regression2021
- Author(s)
  K. Miyazaki, H. Ishibashi, T. Furukawa
- Organizer
  International Conference on Innovative Computing, Information and Control, 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12061

1. 古川徹生 (50219101)

# of Collaborated Projects: 1 results

# of Collaborated Products: 6 results

Ishibashi Hideaki 石橋 英朗

Research Projects

Research Products

Co-Researchers

Multi-task learning of variational Bayesian methods based on information geometrical meta-modelingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Meta-modeling method for a set of energy-based modelsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Generative manifold modeling of set of datasets based on optimal transport distance

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Information geometrical hierarchical modelingPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] ATNAS: Automatic Termination for Neural Architecture Search2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Multi-task manifold learning for small sample size datasets2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Low-rank kernel decomposition for scalable manifold modeling2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Visual analytics of set data for knowledge discovery and member selection support2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Principal Component Analysis for Gaussian Process Posteriors2022

Author(s)

Journal Title

DOI

Data Source

[Presentation] A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets2023

Author(s)

Organizer

Data Source

[Presentation] モデルやタスクの種類に非依存なマルチタスク学習の理論2023

Author(s)

Organizer

Data Source

[Presentation] ダイナミクスとキネマティクスのメタモデリング：最適輸送最小化によるアプローチ2023

Author(s)

Organizer

Data Source

[Presentation] Sparse approximation of unsupervised kernel regressionfor large scale relational data2022

Author(s)

Organizer

Data Source

[Presentation] Meta-modeling of manifold models for dynamical systems through biased optimal transport distance minimization2022

Author(s)

Organizer

Data Source

[Presentation] Simultaneous Meta-modeling of Dynamics and Kinematics based on the Hierarchical Manifold Modeling2022

Author(s)

Organizer

Data Source

[Presentation] Sparse approximation of unsupervised kernel regressionfor large scale relational data2022

Author(s)

Organizer

Ishibashi Hideaki 石橋英朗