most citedInferential Wasserstein Generative Adversarial Networks

2 citations · 2 across the 1 of their papers we have counts for

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stat.ML2021★ 2 cited

Inferential Wasserstein Generative Adversarial Networks

Yao Chen, Qingyi Gao, Xiao Wang

Generative Adversarial Networks (GANs) have been impactful on many problems and applications but suffer from unstable training. The Wasserstein GAN (WGAN) leverages the Wasserstein…