BIMSA >
Seminar on Control Theory and Nonlinear Filtering
Seminar on Control Theory and Nonlinear Filtering
Direct Method Based on Gaussian Approximation
Direct Method Based on Gaussian Approximation
Organizer
Stephen S-T. Yau
Speaker
Jiayi Kang
Time
Tuesday, April 23, 2024 3:00 PM - 3:30 PM
Venue
Online
Abstract
In this talk, for nonlinear filtering problems, we proposed a direct method based on fixed-Gaussian distributions. In this algorithm, all time-consuming computations can be removed by leveraging deep learning.
Speaker Intro
Jiayi Kang received his Ph.D. in Mathematics from Tsinghua University in 2024. He joined the Beijing Institute of Mathematical Sciences and Applications (BIMSA) as an Assistant Researcher in July 2024, and became an Assistant Professor at the Hetao Institute for Mathematical and Interdisciplinary Sciences (HIMIS) in November 2025.
His research focuses on the intersection of deep learning, nonlinear filtering, and computational biology. His main research interests include: neural network-based filtering algorithms and their mathematical foundations, sampling methods in Wasserstein geometry, nonlinear filtering theory (including the Yau-Yau method) and its applications in climate science and other fields, as well as computational genomics and evolutionary system modeling. He is committed to solving complex problems in science and engineering using mathematical and machine learning methods.