• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

SAITO Masahiko  齊藤 真彦

ORCIDConnect your ORCID iD *help
… Alternative Names

Saito Masahiko  齊藤 真彦

Less
Researcher Number 70865162
Other IDs
Affiliation (Current) 2026: 東京大学, 素粒子物理国際研究センター, 助教
Affiliation (based on the past Project Information) *help 2026: 東京大学, 素粒子物理国際研究センター, 助教
2022 – 2023: 東京大学, 素粒子物理国際研究センター, 助教
2021: 東京大学, 素粒子物理国際研究センター, 特任助教
Review Section/Research Field
Principal Investigator
Basic Section 15020:Experimental studies related to particle-, nuclear-, cosmic ray and astro-physics
Keywords
Principal Investigator
深層学習 / 機械学習 / ATLAS実験 / 素粒子物理学
  • Research Projects

    (2 results)
  • Research Products

    (6 results)
  •  Transformerと自己教師あり学習による粒子フローアルゴリズムの高輝度LHC実験への応用Principal Investigator

    • Principal Investigator
      齊藤 真彦
    • Project Period (FY)
      2026 – 2028
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 15020:Experimental studies related to particle-, nuclear-, cosmic ray and astro-physics
    • Research Institution
      The University of Tokyo
  •  Development of experimental data analysis methods using deep learning for LHC and ATLASPrincipal Investigator

    • Principal Investigator
      Saito Masahiko
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 15020:Experimental studies related to particle-, nuclear-, cosmic ray and astro-physics
    • Research Institution
      The University of Tokyo

All 2024 2022 2021

All Journal Article Presentation

  • [Journal Article] Event Classification with Multi-step Machine Learning2021

    • Author(s)
      Masahiko Saito, Tomoe Kishimoto, Yuya Kaneta, Taichi Itoh, Yoshiaki Umeda, Junichi Tanaka, Yutaro Iiyama, Ryu Sawada and Koji Terashi
    • Journal Title

      EPJ Web of Conferences

      Volume: 251 Pages: 03036-03036

    • DOI

      10.1051/epjconf/202125103036

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K13936
  • [Presentation] Signal model parameter scan using Normalizing Flow2024

    • Author(s)
      Masahiko Saito
    • Organizer
      International Symposium on Grids & Clouds (ISGC) 2024
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K13936
  • [Presentation] マルチタスク学習としての多段深層学習モデルの学習2022

    • Author(s)
      齊藤真彦
    • Organizer
      日本物理学会 第77回年次大会
    • Data Source
      KAKENHI-PROJECT-21K13936
  • [Presentation] Study of model construction and the learning for hierarchical models2022

    • Author(s)
      Masahiko Saito
    • Organizer
      Learning to Discover AI and Physics conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K13936
  • [Presentation] 素粒子物理実験における多段深層学習モデルの学習2022

    • Author(s)
      齊藤真彦
    • Organizer
      2022年度 人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-21K13936
  • [Presentation] Event Classification with Multi-step Machine Learning2021

    • Author(s)
      Masahiko Saito
    • Organizer
      25th International Conference on Computing in High-Energy and Nuclear Physics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K13936

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi