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20142020
most citedDetailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform

8 citations · 19 across the 9 of their papers we have counts for

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cs.LG2019

Informative GANs via Structured Regularization of Optimal Transport

Pierre Bréchet, Tao Wu, Thomas Möllenhoff +1

We tackle the challenge of disentangled representation learning in generative adversarial networks (GANs) from the perspective of regularized optimal transport (OT). Specifically,…

cs.LG2019★ 2 cited

Probabilistic Discriminative Learning with Layered Graphical Models

Yuesong Shen, Tao Wu, Csaba Domokos +1

Probabilistic graphical models are traditionally known for their successes in generative modeling. In this work, we advocate layered graphical models (LGMs) for probabilistic discr…