STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models

Belhal Karimi, Jianwen Xie, Ping Li

We propose in this paper, STANLEY, a STochastic gradient ANisotropic LangEvin dYnamics, for sampling high dimensional data. With the growing efficacy and potential of Energy-Based…