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KONISHI Takuya  小西 卓哉

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小西 卓哉  コニシ タクヤ

Konishi Takuya  小西 卓哉

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Researcher Number 20760169
Other IDs
Affiliation (Current) 2025: 大阪大学, 大学院情報科学研究科, 特任講師(常勤)
Affiliation (based on the past Project Information) *help 2025: 大阪大学, 大学院情報科学研究科, 特任講師(常勤)
2023: 大阪大学, 大学院情報科学研究科, 特任講師(常勤)
2022: 九州大学, マス・フォア・インダストリ研究所, 助教
2018 – 2019: 国立情報学研究所, ビッグデータ数理国際研究センター, 特任研究員
2017: 国立情報学研究所, 大学共同利用機関等の部局等, 特任研究員
Review Section/Research Field
Principal Investigator
Basic Section 61030:Intelligent informatics-related / Intelligent informatics
Keywords
Principal Investigator
機械学習 / 変分ベイズ法 / ベイズ学習
  • Research Projects

    (3 results)
  • Research Products

    (2 results)
  •  機械学習による物理シミュレータの開発とその高度化Principal Investigator

    • Principal Investigator
      小西 卓哉
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      The University of Osaka
  •  陰関数微分による予測・最適化のための効率的なアルゴリズムの開発Principal Investigator

    • Principal Investigator
      小西 卓哉
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      Osaka University
      Kyushu University
  •  Theoretical Analysis of Variational Bayesian Inference for Latent Variable ModelsPrincipal Investigator

    • Principal Investigator
      Konishi Takuya
    • Project Period (FY)
      2017 – 2019
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Intelligent informatics
    • Research Institution
      National Institute of Informatics

All 2023 2020

All Journal Article Presentation

  • [Journal Article] Stable invariant models via Koopman spectra2023

    • Author(s)
      Takuya Konishi, Yoshinobu Kawahara
    • Journal Title

      Neural Networks

      Volume: 165 Pages: 393-405

    • DOI

      10.1016/j.neunet.2023.05.040

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K17950, KAKENHI-PLANNED-22H05106
  • [Presentation] End-to-End Learning for Prediction and Optimization with Gradient Boosting2020

    • Author(s)
      Takuya Konishi, Takuro Fukunaga
    • Organizer
      The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K12743

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