On some theoretical limitations of Generative Adversarial Networks

21 October 2021

Papers citing "On some theoretical limitations of Generative Adversarial Networks"

5 / 5 papers shown

Title
$Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces$ Improved Estimation of Concentration Under $\ell_p$ -Norm Distance Metrics Using Half Spaces Jack Prescott Xiao Zhang David Evans 28 5 0 24 Mar 2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions Todd P. Huster Jérémy E. Cohen Zinan Lin Kevin S. Chan Charles A. Kamhoua Nandi O. Leslie C. Chiang Vyas Sekar GAN 60 28 0 22 Jan 2021
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures M. Seddik Cosme Louart M. Tamaazousti Romain Couillet 52 67 0 21 Jan 2020
Copula & Marginal Flows: Disentangling the Marginal from its Joint Magnus Wiese R. Knobloch R. Korn DRL 38 21 0 07 Jul 2019
Adversarial vulnerability for any classifier Alhussein Fawzi Hamza Fawzi Omar Fawzi AAML 70 250 0 23 Feb 2018