报告人：Deng Ding（澳门大学）

时间：2024年06月03日 09：30-

地址：理科楼LA103

摘要：In machine learning, diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative models. This talk gives a brief survey on the recent development of some important diffusion models, and applications of stochastic differential equations, including forward stochastic differential equations, reverse stochastic differential equations and backward stochastic differential equations, etc. in such models.

简介：Deng Ding received his Ph.D. degree in probability and mathematical statistics from Sun Yat-Sen University, Guangzhou, China, in 1992. He is an Associate Professor in Department of Mathematics, University of Macau, Macau, China.

邀请人：吴风艳

欢迎广大师生积极参与！