文部科学大臣認定「産業数学の先進的・基礎的共同研究拠点」九州大学マス・フォア・インダストリ研究所

Singular Learning Theory and Related Topics – At the Intersection of Machine Learning, Mathematical Statistics, and Statistical Physics|2026a029

CATEGORY:Events

TAG: Young Workshop (II) 

Overview

  • How to hold: Hybrid Meeting (In-person/Zoom)
  • Venue: Open: IMI Conference room (W1-D-414)
    West Zone 1, Ito campus, Kyushu University
  • Main language: Japanese
  • Type/Category: Grant for Young Researchers and Students Workshop(Ⅱ)
  • Title of Research Project: Singular Learning Theory and Related Topics – At the Intersection of Machine Learning, Mathematical Statistics, and Statistical Physics
  • Principal Investigator: Naoki Hayashi (Toyota Central R&D Labs., Inc.)
  • Research Period: November 20, 2026.
  • Open to the Public: November 20, 2026.
  • Details of the Research Plan: https://joint2.imi.kyushu-u.ac.jp/en_research_chooses/view/2026a029

Program

November 20, 2026.

10:30-10:45

Opening Remarks

10:45-12:00

Naoki Hayashi (Toyota Central R&D Labs., Inc.)
TBA (Tutorial)

12:00-13:20

Lunch Break

13:20-14:05

Yoshiyuki Ninomiya (The Institute of Statistical Mathematics)
Prior-intensified information criterion and its application to spatially varying coefficient models

14:15-15:00

Shintaro Fukushima (Toyota Motor Corporation)
TBA

15:10-15:55

Hiroshi Yano (Toyota Central R&D Labs., Inc.)
Statistical inference for quantum singular models

16:05-16:50

Yuki Kurumadani (Osaka University, MMDS)
Upper Bounds for Local Learning Coefficients of Three-Layer Neural Networks

16:50-17:00

Closing Remarks

Registration

Advance registration is required. 
Free participation fee.
(Registration also requires Organizing Committee members and speakers.)
Registration may be closed when the number of participants reaches the maximum.

\Please go to the following link for registration./

Participants via Zoom (online)

For online or hybrid (online+face to face) meeting via Zoom

After registration, you will receive ZOOM access information in an automatic email from the address imikyoten@gmail.com.
If not, please try to register again or send an email to our address below.
(Please check your spam folder, too.)

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

If you have not downloaded the Zoom application yet, please download it (https://zoom.us) in advance.
https://zoom.us/download#client_4meeting

How to install it on your computer or smartphone.
https://zoom.nissho-ele.co.jp/blog/manual/zoom-install.html