202 citations · 748 across the 55 of their papers we have counts for
5 papers · 1 filter
Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem
Eric Chung, Yalchin Efendiev, Wing Tat Leung +2
In this work, we propose a multi-agent actor-critic reinforcement learning (RL) algorithm to accelerate the multi-level Monte Carlo Markov Chain (MCMC) sampling algorithms. The pol…
A multi-stage deep learning based algorithm for multiscale modelreduction
Eric Chung, Wing Tat Leung, Sai-Mang Pun +1
In this work, we propose a multi-stage training strategy for the development of deep learning algorithms applied to problems with multiscale features. Each stage of the pro-posed s…
Explicit and Energy-Conserving Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method for Wave Propagation in Heterogeneous Media
Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev +1
In this work, we propose a local multiscale model reduction approach for the time-domain scalar wave equation in a heterogenous media. A fine mesh is used to capture the heterogene…
Learning Algorithms for Coarsening Uncertainty Space and Applications to Multiscale Simulations
Zecheng Zhang, Eric Chung, Yalchin Efendiev +1
In this paper, we investigate and design multiscale simulations for stochastic multiscale PDEs. As for the space, we consider a coarse grid and a known multiscale method, the Gener…
Nonlocal multicontinua with Representative Volume Elements. Bridging separable and non-separable scales
Eric T. Chung, Y. Efendiev, Wing T. Leung +1
Recently, several approaches for multiscale simulations for problems with high contrast and no scale separation are introduced. Among them is the nonlocal multicontinua (NLMC) meth…