GSNs : Generative Stochastic Networks.

We introduce a novel training principle for generative probabilistic models that is an alternative to maximum likelihood. The proposed Generative Stochastic Networks (GSNs) framework generalizes Denoising Auto-Encoders (DAEs), and is based on learning the transition operator of a Markov chain whose stationary distribution estimates the data distribution. The transition distribution is a conditiona...