2 papers
cs.LG2016
Improved Techniques for Training GANs
Tim Salimans, Ian Goodfellow, Wojciech Zaremba +3
We present a variety of new architectural features and training procedures that we apply to the generative adversarial networks (GANs) framework. We focus on two applications of GA…
stat.ML2016
A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse Features
Tim Salimans
In this note we present a generative model of natural images consisting of a deep hierarchy of layers of latent random variables, each of which follows a new type of distribution t…