Entropy-based Training Methods for Scalable Neural Implicit Sampler

Weijian Luo, Boya Zhang, Zhihua Zhang

Efficiently sampling from un-normalized target distributions is a fundamental problem in scientific computing and machine learning. Traditional approaches such as Markov Chain Mont…