Understanding Overparameterization in Generative Adversarial Networks

12 April 2021

Papers citing "Understanding Overparameterization in Generative Adversarial Networks"

7 / 7 papers shown

Title
Multiplicative update rules for accelerating deep learning training and increasing robustness Manos Kirtas Nikolaos Passalis Anastasios Tefas AAML OOD 36 2 0 14 Jul 2023
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 18 7 0 22 Dec 2022
Optimal activity and battery scheduling algorithm using load and solar generation forecasts Y. Kumar Rui Yuan Truc-Nam Dinh S. A. Pourmousavi 14 3 0 24 Oct 2022
Generalization Error of GAN from the Discriminator's Perspective Hongkang Yang Weinan E GAN 38 13 0 08 Jul 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 31 26 0 10 Jun 2021
Double Descent and Other Interpolation Phenomena in GANs Lorenzo Luzi Yehuda Dar Richard Baraniuk 18 5 0 07 Jun 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018