International Conference
Differential Equations for Data Science 2020 (DEDS2020)

  • Date: June 15(Mon) - 17(Wed), 2020

  • Place: Kyoto University (Kyoto, 606-8502, Japan)

  • Important Dates:

    • Call for presentations:
      Submission deadline: January 31, 2020

  • Aim:

  • This conference is mainly devoted to new mathematical aspects on machine learning algorithms, big data analysis, and other topics in data science area, from a viewpoint of differential equations. In recent years, several interesting connections between differential equations and data science have been found and attract attention from researchers of differential equations. In this conference, we will gather such researchers of differential equations who have interest in data science and try to shed new light on mathematical foundations on the topics in machine learning/data science.

  • Keywords:

  • ODE, PDE, Delay DE, Neural ODE, Machine learning, Deep learning, Data science, Big data, Reservoir computing (RC), Physical RC, Graph Laplacian, Universal approximation theory, Edge of chaos, Echo state property, Graphon, Dynamical System, Singular valued decomposition, Variational auto encoder

  • Speakers:

  • TBA

  • Support:

  • MIRS, Kanazawa University Link

  • Organizers:

  • Hirofumi Notsu (Kanazawa University, Chair) Link
    Yoshikazu Giga (The University of Tokyo) Link1 Link2
    Masato Kimura (Kanazawa University) Link1 Link2
    Hiroshi Kokubu (Kyoto University) Link
    Sho Sonoda (RIKEN) Link
    Tomohiro Taniguchi (AIST) Link