Hayato Goto

Training Energy-Based Models with Non-MCMC Samplers and Efficient Temperature Estimation

Efficient sampling from Boltzmann distributions over discrete variables is a fundamental operation in a wide range of applications. While fast non-Markov chain Monte Carlo (MCMC) samplers have recently emerged as promising alternatives to conventional MCMC methods, their practica...