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A Convex Duality Framework for GANs

A Convex Duality Framework for GANs

28 October 2018
Farzan Farnia
David Tse
    GAN
ArXivPDFHTML

Papers citing "A Convex Duality Framework for GANs"

9 / 9 papers shown
Title
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial
  and Survey
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
GAN
28
12
0
26 Nov 2021
Parallel Deep Neural Networks Have Zero Duality Gap
Parallel Deep Neural Networks Have Zero Duality Gap
Yifei Wang
Tolga Ergen
Mert Pilanci
79
10
0
13 Oct 2021
Scalable Personalised Item Ranking through Parametric Density Estimation
Scalable Personalised Item Ranking through Parametric Density Estimation
Riku Togashi
Masahiro Kato
Mayu Otani
T. Sakai
Shiníchi Satoh
38
0
0
11 May 2021
Towards Generalized Implementation of Wasserstein Distance in GANs
Towards Generalized Implementation of Wasserstein Distance in GANs
Minkai Xu
Zhiming Zhou
Guansong Lu
Jian Tang
Weinan Zhang
Yong Yu
16
1
0
07 Dec 2020
GANs May Have No Nash Equilibria
GANs May Have No Nash Equilibria
Farzan Farnia
Asuman Ozdaglar
GAN
25
43
0
21 Feb 2020
Smoothness and Stability in GANs
Smoothness and Stability in GANs
Casey Chu
Kentaro Minami
Kenji Fukumizu
GAN
21
56
0
11 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
817
0
20 Jan 2020
Bridging the Gap Between $f$-GANs and Wasserstein GANs
Bridging the Gap Between fff-GANs and Wasserstein GANs
Jiaming Song
Stefano Ermon
6
39
0
22 Oct 2019
2-Wasserstein Approximation via Restricted Convex Potentials with
  Application to Improved Training for GANs
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs
Amirhossein Taghvaei
Amin Jalali
27
42
0
19 Feb 2019
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