Workshop on Dynamical Systems and Machine Learning

This workshop aims to explore interactions between dynamical systems and machine learning by sharing recent developments and fundamental ideas. We hope this workshop can contribute to further advancements in the fields of both dynamical systems and machine learning. This workshop is supported by JST ASPIRE: Deep Scientific Computing: integration of physical structure and deep learning through mathematical science (DSC), JST CREST: Prediction Mathematical Foundation "Operator Learning Based on Geometric Classical Field Theory and Infinite Dimensional Data Science", and RIKEN Center for Advanced Intelligence Project.

Confirmed speakers

• Boumediene Hamzi (Caltech / The Alan Turing Institute)

• Matthew Levine (Broad Institute of MIT/Harvard)

• Masaaki Imaizumi (The University of Tokyo / RIKEN AIP)

• Takaharu Yaguchi (Kobe University)

• Jeroen Lamb (Imperial College London / International Research Center for Neurointelligence (IRCN), The University of Tokyo)

• Cristopher Salvi (Imperial College London)

• Takashi Matsubara (Hokkaido University)

• Yusuke Tanaka (NTT)

Poster session

We will have a poster session for sharing fundamental ideas and discussing futher improvements. Please see here for the titles of the posters.

Program

Please see here for details of the schedule. Please see here for the titles and abstracts. 

Organizers

Yuka Hashimoto (NTT / RIKEN AIP)

Masaaki Imaizumi (The University of Tokyo / RIKEN AIP)

Takaharu Yaguchi (Kobe University)