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Seminar on Control Theory and Nonlinear Filtering
Recent literature review about neural operator
Recent literature review about neural operator
Organizer
Speaker
Time
Friday, February 2, 2024 9:30 PM - 10:00 PM
Venue
Online
Abstract
In this talk, we will introduce several recent progresses about widely adopted algorithms of neural operators. More precisely, we would like to present basic ideas and some variants of deepONet, FNO etc.
Speaker Intro
Xiaopei Jiao received his bachelor's degree from the Zhiyuan College of Shanghai Jiao Tong University and his Ph.D. from the Department of Mathematical Sciences at Tsinghua University. He subsequently worked as a postdoctoral researcher at the Beijing Institute of Mathematical Sciences and Applications (BIMSA) and at the University of Twente in the Netherlands. His current research interests include finite-dimensional filtering theory, Yau-Yau filtering methods, physics-informed neural networks, and bioinformatics. His research focuses primarily on: (1) using geometric tools such as Lie algebras for solving partial differential equations and classifying nonlinear systems; (2) designing novel numerical algorithms based on physics-informed neural networks.