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06/18/2020
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models
Generative adversarial networks (GANs) learn the distribution of observe...
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06/16/2020
Robust Federated Learning: The Case of Affine Distribution Shifts
Federated learning is a distributed paradigm that aims at training model...
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02/21/2020
GANs May Have No Nash Equilibria
Generative adversarial networks (GANs) represent a zero-sum game between...
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11/19/2018
Generalizable Adversarial Training via Spectral Normalization
Deep neural networks (DNNs) have set benchmarks on a wide array of super...
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10/28/2018
A Convex Duality Framework for GANs
Generative adversarial network (GAN) is a minimax game between a generat...
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06/07/2016
