Towards a Better Understanding and Regularization of GAN Training Dynamics

24 Jun 2018Weili NieAnkit Patel

Generative adversarial networks (GANs) are notoriously difficult to train and the reasons underlying their (non-)convergence behaviors are still not completely understood. By first considering a simple yet representative GAN example, we mathematically analyze its local convergence behavior in a non-asymptotic way... (read more)

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