Understanding GANs in the LQG Setting: Formulation, Generalization and Stability (Journal Article) | NSF PAGES

skip to main content

Citation Details

Understanding GANs in the LQG Setting: Formulation, Generalization and Stability

Authors:: Feizi, Soheil; Farnia, Farzan; Ginart, Tony; Tse, David

Award ID(s):: 1908291 1942230

Publication Date:: 2020-05-01

NSF-PAR ID:: 10201717

Journal Name:: IEEE Journal on Selected Areas in Information Theory

Volume:: 1

Issue:: 1

Page Range or eLocation-ID:: 304 to 311

ISSN:: 2641-8770

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript1.0
Publisher's Version of Record
https://doi.org/10.1109/JSAIT.2020.2991375