most citedInferential Wasserstein Generative Adversarial Networks

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

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stat.ML2024

Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks

Yixuan Qiu, Qingyi Gao, Xiao Wang

Generative models based on latent variables, such as generative adversarial networks (GANs) and variational auto-encoders (VAEs), have gained lots of interests due to their impress…

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…