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1Karlsruhe Institute of Technology, Department of Mathematics, Germany.
This study connects Vanilla Generative Adversarial Networks (GANs) to Wasserstein distance, extending theoretical results. This allows for improved convergence rates for GANs in estimating probability distributions.
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