2 citations · 2 across the 1 of their papers we have counts for
3 papers
stat.ML2018
Metropolis-Hastings Generative Adversarial Networks
Ryan Turner, Jane Hung, Eric Frank +2
We introduce the Metropolis-Hastings generative adversarial network (MH-GAN), which combines aspects of Markov chain Monte Carlo and GANs. The MH-GAN draws samples from the distrib…
stat.ML2017
Bayesian GAN
Yunus Saatchi, Andrew Gordon Wilson
Generative adversarial networks (GANs) can implicitly learn rich distributions over images, audio, and data which are hard to model with an explicit likelihood. We present a practi…
stat.ML2012★ 2 cited
Scaling Multidimensional Inference for Structured Gaussian Processes
Elad Gilboa, Yunus Saatçi, John P. Cunningham
Exact Gaussian Process (GP) regression has O(N^3) runtime for data size N, making it intractable for large N. Many algorithms for improving GP scaling approximate the covariance wi…