Generation using Energy-Based Models
We are given a set of samples from some (unknown) distribution. How can we generate more samples from this unknown distribution? This is a classical problem in generative modelling. This post shows how to solve this problem using energy-based models with Langevin Monte Carlo (LMC) sampling algorithm.
