6 citations · 12 across the 2 of their papers we have counts for
4 papers · 1 filter
Wasserstein Proximal of GANs
Alex Tong Lin, Wuchen Li, Stanley Osher +1
We introduce a new method for training generative adversarial networks by applying the Wasserstein-2 metric proximal on the generators. The approach is based on Wasserstein informa…
Wasserstein-based Projections with Applications to Inverse Problems
Howard Heaton, Samy Wu Fung, Alex Tong Lin +2
Inverse problems consist of recovering a signal from a collection of noisy measurements. These are typically cast as optimization problems, with classic approaches using a data fid…
Wasserstein Diffusion Tikhonov Regularization
Alex Tong Lin, Yonatan Dukler, Wuchen Li +1
We propose regularization strategies for learning discriminative models that are robust to in-class variations of the input data. We use the Wasserstein-2 geometry to capture seman…
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization
Bao Wang, Alex T. Lin, Wei Zhu +3
We improve the robustness of Deep Neural Net (DNN) to adversarial attacks by using an interpolating function as the output activation. This data-dependent activation remarkably imp…