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Ryan Turner

1 accepted papers

2019

Metropolis-Hastings Generative Adversarial Networks

ICML 2019oral

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 distribution implicitly defined by a GAN’s discriminator-generator pair, as opposed to standard GANs which draw samples from th…