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Takeishi Yoshinari  武石 啓成

ORCIDConnect your ORCID iD *help
Researcher Number 00963779
Other IDs
Affiliation (Current) 2025: 九州大学, システム情報科学研究院, 助教
Affiliation (based on the past Project Information) *help 2023 – 2024: 九州大学, システム情報科学研究院, 助教
Review Section/Research Field
Principal Investigator
Basic Section 21020:Communication and network engineering-related
Except Principal Investigator
Broad Section J / Medium-sized Section 61:Human informatics and related fields
Keywords
Principal Investigator
圧縮センシング / アダマール行列 / 通信路符号化 / 符号理論 / スパース重ね合わせ符号
Except Principal Investigator
サイバーセキュリティ / MRI / 確率的勾配降下法 / 固有値分解 / 汎化誤差 / MDL原理 / Fisher情報行列 / 深層学習
  • Research Projects

    (3 results)
  • Research Products

    (2 results)
  • Co-Researchers

    (4 People)
  •  スパース重ね合わせ符号の具体的設計と性能保証Principal Investigator

    • Principal Investigator
      武石 啓成
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 21020:Communication and network engineering-related
    • Research Institution
      Kyushu University
  •  Fisher情報行列と記述長最小原理に基づく深層学習の理論

    • Principal Investigator
      竹内 純一
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 61:Human informatics and related fields
    • Research Institution
      Kyushu University
  •  Theory and Practice of Deep Learning Based on Fisher Information Matrix and MDL Principle

    • Principal Investigator
      竹内 純一
    • Project Period (FY)
      2023 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (S)
    • Review Section
      Broad Section J
    • Research Institution
      Kyushu University

All 2024 2023

All Journal Article Presentation

  • [Journal Article] Approximate spectral decomposition of Fisher information matrix for simple ReLU networks2023

    • Author(s)
      Takeishi Yoshinari、Iida Masazumi、Takeuchi Jun’ichi
    • Journal Title

      Neural Networks

      Volume: 164 Pages: 691-706

    • DOI

      10.1016/j.neunet.2023.05.017

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23H05492
  • [Presentation] 単純なReLUネットワークにおけるタイトなリスク上界をもつMDL推定量の構成2024

    • Author(s)
      武石啓成,竹内純一
    • Organizer
      電子情報通信学会情報理論研究会(信学技報, vol. 123, no. 423, IT2023-134)
    • Data Source
      KAKENHI-PROJECT-23H05492
  • 1.  竹内 純一 (80432871)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 2 results
  • 2.  三村 和史 (40353297)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 3.  村田 昇 (60242038)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 4.  長岡 浩司 (80192235)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results

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