The invariant distribution, which is characterized by the stationary Fokker-Planck equation, is an important object in the study of randomly perturbed dynamical systems.

In this mini-series of talks, we will survey some recent advances in utilizing advances in machine learning to help tackle challenging tasks in scientific computing, focusing on numerical methods for solving high dimensional partial differential equations and high dimensio

To offer unique opportunities for Secondary 4 to 5 students and Year 11 to 12 international school students to explore the fascinating world of quantum computing, the School of Science of HKUST gladly presents the on-campus summer program –

In this paper, we propose a robust policy evaluation algorithm in reinforcement learning, to feature outlier contamination and heavy-tailed reward distributions. We further develop a fully-online method to conduct statistical inference for the modeling parameters.

In this talk, the  compressible immiscible two-phase flow with relaxation is investigated, this model can be regarded as a natural modification of Jin-Xin relaxation scheme proposed and developed by S.Jin and Z.P.Xin([Comm.Pure Appl.Math., 48,1995]) in vi