[Date]:2023/11/02～2023/11/03

A New Era in Mathematical Science: The Synergy of Numerical Analysis and Machine Learning｜2023a014

Overview

• How to hold: Hybrid Meeting (In-person/Zoom)
• Venue:  IMI Auditorium (W1-D-413), West Zone 1, Ito campus, Kyushu University
• Main language: Japanese
• Type/Category:  Grant for Young Researchers and Students-Short-term Joint Research
• Title of Research Project: A New Era in Mathematical Science: The Synergy of Numerical Analysis and Machine Learning
• Principal Investigator: Noboru Isobe(Graduate school of mathematical sciences, the university of Tokyo, / Ph.D student)
• Research Period: November 02, 2023. – November 3, 2023.
• Open to the Public: November 02, 2023. – November 3, 2023.
• Details of the Research Plan: https://joint1.imi.kyushu-u.ac.jp/en_research_chooses/view/2023a014

Program

November 02, 2023.

13:00-14:00

Daisuke Inoue
Mean-field model and its numerical computation for controlling large-scale multi-agent systems

14:00-15:00

Takeshi Koshizuka
Diffusion generative model learning based on Schrödinger Bridge Problem

15:00-16:00

Kengo Nakai
Dynamical system analysis of a data-driven model constructed by reservoir computing

16:00-17:00

Tokuhiro Eto
Numerical computation for surface evolution equations using deep learning

November 03, 2023.

13:00-14:00

Noboru Isobe
Toward revitalizing the interaction between differential equation theory and deep learning.

14:00-15:00

Takaharu Yaguchi
Applications of numerical analysis in deep physical models

15:00-16:00

Yuka Hashimoto
C*-algebra net : Generalizing neural network parameters to C*-algebra

16:00-17:00

Masanobu Horie (RICOS Co. Ltd.)
PDE Solvers Using Machine Learning Models with Physical Symmetries

Registration

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＼Please go to the following link for registration.／

Participants via Zoom (online)

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Joint Research Center for Advanced and Fundamental Mathematics-for-Industry, Institute of Mathematics for Industry, Kyushu University
imikyoten(at)jimu.kyushu-u.ac.jp
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About Zoom

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