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NGUYEN DAIHAI  NGUYEN DAIHAI

ORCIDConnect your ORCID iD *help
Researcher Number 50968401
Other IDs
Affiliation (Current) 2025: 北海道大学, 情報科学研究院, 准教授
Affiliation (based on the past Project Information) *help 2023: 筑波大学, システム情報系, 助教
Review Section/Research Field
Principal Investigator
Basic Section 61030:Intelligent informatics-related
Keywords
Principal Investigator
graph structured data / graph kernels / optimal transport / Constrained domains / Generative models
  • Research Projects

    (1 results)
  • Research Products

    (4 results)
  •  On Optimal Transport-based Statistical Measures for Graph Structured Data and ApplicationsPrincipal Investigator

    • Principal Investigator
      NGUYEN DAIHAI
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      University of Tsukuba

All 2023

All Journal Article Presentation

  • [Journal Article] Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains2023

    • Author(s)
      Nguyen Dai Hai、Sakurai Tetsuya
    • Journal Title

      Machine Learning

      Volume: 112 Issue: 8 Pages: 2845-2869

    • DOI

      10.1007/s10994-023-06350-9

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K16939
  • [Journal Article] Differentiable optimization layers enhance GNN-based mitosis detection2023

    • Author(s)
      Zhang Haishan、Nguyen Dai Hai、Tsuda Koji
    • Journal Title

      Scientific Reports

      Volume: 13 Issue: 1

    • DOI

      10.1038/s41598-023-41562-y

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K16939
  • [Presentation] Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains2023

    • Author(s)
      Nguyen Dai Hai
    • Organizer
      the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2023
    • Data Source
      KAKENHI-PROJECT-23K16939
  • [Presentation] On a linear fused Gromov-Wasserstein distance for graph structured data2023

    • Author(s)
      Nguyen Dai Hai
    • Organizer
      the International Workshop on Mining and Learning with Graphs, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2023
    • Data Source
      KAKENHI-PROJECT-23K16939

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