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Ishibashi Hideaki  石橋 英朗

ORCIDConnect your ORCID iD *help
Researcher Number 30838389
Other IDs
Affiliation (Current) 2026: 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 / 指数型分布族 / スコアマッチング / Energy Based Model / 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 / マルチビュー / マルチドメイン / メタモデル / マルチダイナミクス / 直積潜在空間モデル / マルチダイナミクス学習 / マルチタスク学習 / メタ学習 / 最適輸送距離 / メタモデリング Less
  • Research Projects

    (4 results)
  • Research Products

    (38 results)
  • Co-Researchers

    (1 People)
  •  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
      Hideaki Ishibashi
    • 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
      Furukawa Tetsuo
    • 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 2025 2024 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] 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] 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
  • [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] 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
  • [Presentation] Visual exploration system for discovering favorite Arita porcelain types2025

    • Author(s)
      Daichi Yoshikane, Ishibashi Hideaki, Tetsuo Furukawa
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K15088
  • [Presentation] Unsupervised Meta-Modeling of a Set of Dynamical Systems: Latent Variable Estimation in State and Observation Spaces2025

    • Author(s)
      Yuki Tokunaga, Hideaki Ishibashi, Tetsuo Furukawa
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17951
  • [Presentation] Unsupervised Meta-Modeling of a Set of Dynamical Systems: Latent Variable Estimation in State and Observation Spaces2025

    • Author(s)
      Yuki Tokunaga, Hideaki Ishibashi, Tetsuo Furukawa
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K15088
  • [Presentation] Viewpoint Representation via Dual-Space Embedding of Object-Tag Data2025

    • Author(s)
      Taisei Sakaguchi, Hideaki Ishibashi, Tetsuo Furukawa
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17951
  • [Presentation] Transfer learning for Gaussian process2025

    • Author(s)
      Shotaro Akaho, Hideaki Ishibashi
    • Organizer
      Further Developments of Information Geometry 2025 (FDIG2025)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17951
  • [Presentation] Meta-Modeling of Latent Variable Models Based on the Optimal Transport Distance2025

    • Author(s)
      Tetsuo Furukawa, Hideaki Ishibashi
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12061
  • [Presentation] On the Visualization of Contextual Meaning in Waka2025

    • Author(s)
      Soichiro Takemura, Hideaki Ishibashi, Tetsuo Furukawa
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17951
  • [Presentation] Visual exploration system for discovering favorite Arita porcelain types2025

    • Author(s)
      Daichi Yoshikane, Ishibashi Hideaki, Tetsuo Furukawa
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K17951
  • [Presentation] On the Visualization of Contextual Meaning in Waka2025

    • Author(s)
      Soichiro Takemura, Hideaki Ishibashi, Tetsuo Furukawa
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K15088
  • [Presentation] Viewpoint Representation via Dual-Space Embedding of Object-Tag Data2025

    • Author(s)
      Taisei Sakaguchi, Hideaki Ishibashi, Tetsuo Furukawa
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12061
  • [Presentation] Viewpoint Representation via Dual-Space Embedding of Object-Tag Data2025

    • Author(s)
      Taisei Sakaguchi, Hideaki Ishibashi, Tetsuo Furukawa
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K15088
  • [Presentation] Transfer learning for Gaussian process2025

    • Author(s)
      Shotaro Akaho, Hideaki Ishibashi
    • Organizer
      Further Developments of Information Geometry 2025 (FDIG2025)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K15088
  • [Presentation] Visual exploration system for discovering favorite Arita porcelain types2025

    • Author(s)
      Daichi Yoshikane, Hideaki Ishibashi, Tetsuo Furukawa,
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12061
  • [Presentation] Unsupervised Meta-Modeling of a Set of Dynamical Systems: Latent Variable Estimation in State and Observation Spaces2025

    • Author(s)
      Yuki Tokunaga, Hideaki Ishibashi, Tetsuo Furukawa
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12061
  • [Presentation] On the visualization of contextual meaning in waka2025

    • Author(s)
      Soichiro Takemura, Hideaki Ishibashi, Tetsuo Furukawa
    • Organizer
      The 6th International Symposium on Neuromorphic AI Hardware
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12061
  • [Presentation] 視点を表現する Object-Tag データの双対埋め込み2024

    • Author(s)
      広渡 朱莉,坂口 大征,石橋 英朗,古川 徹生
    • Organizer
      日本神経回路学会
    • Data Source
      KAKENHI-PROJECT-21K12061
  • [Presentation] レベルセット推定の停止基準2024

    • Author(s)
      石橋 英朗, 松井 孝太, 沓掛 健太朗, 日野 英逸
    • Organizer
      2024年度人工知能学会全国大会(第38回)
    • Data Source
      KAKENHI-PROJECT-24K15088
  • [Presentation] Multi-task Gaussian process Based on the Combination of Two Types of Dimensionality Reduction Techniques2024

    • Author(s)
      Hideaki Ishibashi
    • Organizer
      12th International Symposium on Applied Engineering and Sciences (SAES2024)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K12061
  • [Presentation] 潜在変数モデルのメタモデリング:最適輸送距離の観点による考察2024

    • Author(s)
      古川 徹生, 石橋 英朗
    • Organizer
      日本人工知能学会
    • Data Source
      KAKENHI-PROJECT-21K12061
  • [Presentation] Multi-task Gaussian process Based on the Combination of Two Types of Dimensionality Reduction Techniques2024

    • Author(s)
      Hideaki Ishibashi
    • Organizer
      12th International Symposium on Applied Engineering and Sciences (SAES2024)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K15088
  • [Presentation] レベルセット推定の停止基準2024

    • Author(s)
      石橋 英朗, 松井 孝太, 沓掛 健太朗, 日野 英逸
    • Organizer
      2024年度人工知能学会全国大会(第38回)
    • Data Source
      KAKENHI-PROJECT-22K17951
  • [Presentation] セレンディピティを促進する情報探索システムのデザインと実現2024

    • Author(s)
      金津 達也,吉兼 大智,石橋 英朗,吉田 香,古川 徹生
    • Organizer
      日本神経回路学会
    • Data Source
      KAKENHI-PROJECT-21K12061
  • [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] 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] 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] 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] 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] 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] 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] 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] 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.  Furukawa Tetsuo (50219101)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 14 results

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