Tim Salimans

Improved techniques for training GANs

Weight normalization: a simple reparameterization to accelerate training of deep neural networks

Markov Chain Monte Carlo and Variational Inference: Bridging the Gap

Variational dropout and the local reparameterization trick

Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

Variational Lossy Autoencoder

Improving Variational Inference with Inverse Autoregressive Flow.

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Improving GANs Using Optimal Transport

Improved Variational Inference with Inverse Autoregressive Flow