Note: Due to the COVID-19,the course will be delivered online from May 9. 课程描述 DescriptionInverse problem refers to a kind of problem of inverting the physical parameters and geometric features of the interested area by the measured data, and is an important subject for the intersection of industrial and applied mathematics. It consists of many areas including modeling, partial differenti...
Description: This course introduces how to develop deep generative models (DGMs) by integrating probabilistic graphical models and deep learning to generate realistic data including images, texts, graphs, etc. Course contents include 1) basics of probabilistic graphical models, including Bayesian network and Markov random field; 2) posterior inference methods, including message passing, variat...