1.5k citations · 3.2k across the 15 of their papers we have counts for
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Geometrical Insights for Implicit Generative Modeling
Leon Bottou, Martin Arjovsky, David Lopez-Paz +1
Learning algorithms for implicit generative models can optimize a variety of criteria that measure how the data distribution differs from the implicit model distribution, including…
Improved Training of Wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky +2
Generative Adversarial Networks (GANs) are powerful generative models, but suffer from training instability. The recently proposed Wasserstein GAN (WGAN) makes progress toward stab…
Towards Principled Methods for Training Generative Adversarial Networks
Martin Arjovsky, Léon Bottou
The goal of this paper is not to introduce a single algorithm or method, but to make theoretical steps towards fully understanding the training dynamics of generative adversarial n…