289 citations · 1k across the 49 of their papers we have counts for
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Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data
Hyemin Gu, Panagiota Birmpa, Yannis Pantazis +2
We build a new class of generative algorithms capable of efficiently learning an arbitrary target distribution from possibly scarce, high-dimensional data and subsequently generate…
Function-space regularized Rényi divergences
Jeremiah Birrell, Yannis Pantazis, Paul Dupuis +2
We propose a new family of regularized Rényi divergences parametrized not only by the order but also by a variational function space. These new objects are defined by taking th…
Structure-preserving GANs
Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet +1
Generative adversarial networks (GANs), a class of distribution-learning methods based on a two-player game between a generator and a discriminator, can generally be formulated as…