Deep Generative Stochastic Networks Trainable by Backprop

Yoshua Bengio, Eric Laufer, Guillaume Alain, Jason Yosinski

Abstract: We introduce a novel training principle for probabilistic models that is an alternative to maximum likelihood. The proposed Generative Stochastic Networks (GSN) framework is based on learning the t...