813 citations · 1.2k across the 10 of their papers we have counts for
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cs.LG2017★ 175 cited
The Numerics of GANs
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
In this paper, we analyze the numerics of common algorithms for training Generative Adversarial Networks (GANs). Using the formalism of smooth two-player games we analyze the assoc…
cs.LG2017★ 157 cited
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
Lars Mescheder, Sebastian Nowozin, Andreas Geiger
Variational Autoencoders (VAEs) are expressive latent variable models that can be used to learn complex probability distributions from training data. However, the quality of the re…