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Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields

Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields

29 August 2017
Thomas Unterthiner
Bernhard Nessler
Calvin Seward
G. Klambauer
M. Heusel
Hubert Ramsauer
Sepp Hochreiter
    GAN
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Papers citing "Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields"

13 / 13 papers shown
Title
Local Convergence of Gradient Descent-Ascent for Training Generative
  Adversarial Networks
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks
Evan Becker
Parthe Pandit
S. Rangan
A. Fletcher
GAN
26
1
0
14 May 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
Siddarth Asokan
C. Seelamantula
GAN
69
1
0
12 May 2023
Hybrid Quantum Generative Adversarial Networks for Molecular Simulation
  and Drug Discovery
Hybrid Quantum Generative Adversarial Networks for Molecular Simulation and Drug Discovery
Prateek Jain
Srinjoy Ganguly
GAN
AI4CE
28
7
0
15 Dec 2022
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
34
12
0
26 Nov 2021
Smoothness and Stability in GANs
Smoothness and Stability in GANs
Casey Chu
Kentaro Minami
Kenji Fukumizu
GAN
24
56
0
11 Feb 2020
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
29
83
0
30 Sep 2019
AGAN: Towards Automated Design of Generative Adversarial Networks
AGAN: Towards Automated Design of Generative Adversarial Networks
Hanchao Wang
Jun Huan
GAN
AI4CE
6
37
0
25 Jun 2019
Improving MMD-GAN Training with Repulsive Loss Function
Improving MMD-GAN Training with Repulsive Loss Function
Wei Wang
Yuan Sun
Saman K. Halgamuge
GAN
17
79
0
24 Dec 2018
Towards Accurate Generative Models of Video: A New Metric & Challenges
Towards Accurate Generative Models of Video: A New Metric & Challenges
Thomas Unterthiner
Sjoerd van Steenkiste
Karol Kurach
Raphaël Marinier
Marcin Michalski
Sylvain Gelly
EGVM
VGen
27
682
0
03 Dec 2018
A Large-Scale Study on Regularization and Normalization in GANs
A Large-Scale Study on Regularization and Normalization in GANs
Karol Kurach
Mario Lucic
Xiaohua Zhai
Marcin Michalski
Sylvain Gelly
AI4CE
27
154
0
12 Jul 2018
Beyond Local Nash Equilibria for Adversarial Networks
Beyond Local Nash Equilibria for Adversarial Networks
F. Oliehoek
Rahul Savani
Jose Gallego-Posada
Elise van der Pol
R. Groß
GAN
23
43
0
18 Jun 2018
First Order Generative Adversarial Networks
First Order Generative Adversarial Networks
Calvin Seward
Thomas Unterthiner
Urs M. Bergmann
Nikolay Jetchev
Sepp Hochreiter
GAN
40
8
0
13 Feb 2018
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
181
1,185
0
30 Nov 2014
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