BIMSA >
Seminar on Control Theory and Nonlinear Filtering
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations
Score-Based Physics-Informed Neural Networks for High-Dimensional Fokker-Planck Equations
Organizer
Speaker
Time
Wednesday, May 8, 2024 4:00 PM - 4:30 PM
Venue
理科楼A-304
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.