*All lectures are given by invited speakers. Matthew Thorpe (The University of Manchester, UK) Hirofumi Notsu (Kanazawa University, Japan) Kohei Nakajima (The University of Tokyo, Japan) Kengo Nakai (Tokyo University of Marine Science and Technology, Japan) Stefano Massaroli (The University of Tokyo, Japan) Masato Kimura (Kanazawa University, Japan) Lyudmila Grigoryeva (University of Konstanz, Germany)īoumediene Hamzi (Imperial College London, UK) Yoshikazu Giga (The University of Tokyo, Japan) Reservoir computing (RC), Physical RC, Graph Laplacian, Universal approximation theory,Įdge of chaos, Echo state property, Graphon, Dynamical System, Singular valued decomposition,
ODE, PDE, Delay DE, Neural ODE, Machine learning, Deep learning, Data science, Big data, 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. In recent years, several interesting connections between differential equations and data science have been found and attract attention from researchers of differential equations. 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. If the link does not work, copy and paste the entire URL into your internet browser: Note that the Zoom meeting will be available from 30 minutes before each session start time. (Once you register from the link above, you are able to join all the sessions.)
#Notsu online registration
Registration: Registration link for Zoom meetingĪfter registering, you will receive a confirmation email containing information about joining the meeting.Differential Equations for Data Science 2021 (DEDS2021)
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