Probabilistic Matching of Real and Generated Data Statistics in Generative Adversarial Networks

Philipp Pilar, Niklas Wahlström

Generative adversarial networks constitute a powerful approach to generative modeling. While generated samples often are indistinguishable from real data, there is no guarantee tha…