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