ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.10461
  4. Cited By
The Numerics of GANs

The Numerics of GANs

30 May 2017
L. Mescheder
Sebastian Nowozin
Andreas Geiger
    GAN
ArXivPDFHTML

Papers citing "The Numerics of GANs"

30 / 80 papers shown
Title
On the Global Optima of Kernelized Adversarial Representation Learning
On the Global Optima of Kernelized Adversarial Representation Learning
Bashir Sadeghi
Runyi Yu
Vishnu Naresh Boddeti
AAML
67
31
0
16 Oct 2019
FIS-GAN: GAN with Flow-based Importance Sampling
FIS-GAN: GAN with Flow-based Importance Sampling
Shiyu Yi
Donglin Zhan
Wenqing Zhang
Zhengyang Geng
Kang An
Hao Wang
GAN
24
3
0
06 Oct 2019
On the estimation of the Wasserstein distance in generative models
On the estimation of the Wasserstein distance in generative models
Thomas Pinetz
Daniel Soukup
Thomas Pock
GAN
19
9
0
02 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey
Stabilizing Generative Adversarial Networks: A Survey
Maciej Wiatrak
Stefano V. Albrecht
A. Nystrom
GAN
29
84
0
30 Sep 2019
Linear Lower Bounds and Conditioning of Differentiable Games
Linear Lower Bounds and Conditioning of Differentiable Games
Adam Ibrahim
Waïss Azizian
Gauthier Gidel
Ioannis Mitliagkas
31
10
0
17 Jun 2019
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring
  for Minimax Problems
ODE Analysis of Stochastic Gradient Methods with Optimism and Anchoring for Minimax Problems
Ernest K. Ryu
Kun Yuan
W. Yin
20
36
0
26 May 2019
Differentiable Game Mechanics
Differentiable Game Mechanics
Alistair Letcher
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
37
79
0
13 May 2019
Reducing Noise in GAN Training with Variance Reduced Extragradient
Reducing Noise in GAN Training with Variance Reduced Extragradient
Tatjana Chavdarova
Gauthier Gidel
F. Fleuret
Simon Lacoste-Julien
25
134
0
18 Apr 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using
  Structured Best-Response Functions
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
M. Mackay
Paul Vicol
Jonathan Lorraine
David Duvenaud
Roger C. Grosse
27
164
0
07 Mar 2019
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Finding Mixed Nash Equilibria of Generative Adversarial Networks
Ya-Ping Hsieh
Chen Liu
S. Chakrabartty
GAN
19
91
0
23 Oct 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning
VPE: Variational Policy Embedding for Transfer Reinforcement Learning
Isac Arnekvist
Danica Kragic
J. A. Stork
OffRL
17
37
0
10 Sep 2018
Global Convergence to the Equilibrium of GANs using Variational
  Inequalities
Global Convergence to the Equilibrium of GANs using Variational Inequalities
I. Gemp
Sridhar Mahadevan
28
50
0
04 Aug 2018
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial
  Networks
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks
Hoang Thanh-Tung
T. Tran
GAN
18
58
0
11 Jul 2018
Optimistic mirror descent in saddle-point problems: Going the extra
  (gradient) mile
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
P. Mertikopoulos
Bruno Lecouat
Houssam Zenati
Chuan-Sheng Foo
V. Chandrasekhar
Georgios Piliouras
32
291
0
07 Jul 2018
New Losses for Generative Adversarial Learning
Victor Berger
Michèle Sebag
GAN
22
0
0
03 Jul 2018
Collaborative Learning for Deep Neural Networks
Collaborative Learning for Deep Neural Networks
Guocong Song
Wei Chai
FedML
21
192
0
30 May 2018
Image Restoration by Estimating Frequency Distribution of Local Patches
Image Restoration by Estimating Frequency Distribution of Local Patches
Jaeyoung Yoo
S. Lee
Nojun Kwak
23
57
0
23 May 2018
Local Saddle Point Optimization: A Curvature Exploitation Approach
Local Saddle Point Optimization: A Curvature Exploitation Approach
Leonard Adolphs
Hadi Daneshmand
Aurelien Lucchi
Thomas Hofmann
37
107
0
15 May 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Jiwoong Im
He Ma
Graham W. Taylor
K. Branson
EGVM
19
69
0
02 Mar 2018
Interaction Matters: A Note on Non-asymptotic Local Convergence of
  Generative Adversarial Networks
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks
Tengyuan Liang
J. Stokes
32
211
0
16 Feb 2018
The Mechanics of n-Player Differentiable Games
The Mechanics of n-Player Differentiable Games
David Balduzzi
S. Racanière
James Martens
Jakob N. Foerster
K. Tuyls
T. Graepel
MLT
16
274
0
15 Feb 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
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
30
1,452
0
13 Jan 2018
High-resolution Deep Convolutional Generative Adversarial Networks
High-resolution Deep Convolutional Generative Adversarial Networks
J. Curtò
I. Zarza
Fernando de la Torre
Irwin King
Michael R. Lyu
GAN
35
35
0
17 Nov 2017
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
Understanding GANs: the LQG Setting
Understanding GANs: the LQG Setting
S. Feizi
Changho Suh
F. Xia
David Tse
40
63
0
30 Oct 2017
Generative Adversarial Networks: An Overview
Generative Adversarial Networks: An Overview
Antonia Creswell
Tom White
Vincent Dumoulin
Kai Arulkumaran
B. Sengupta
Anil A Bharath
GAN
57
2,973
0
19 Oct 2017
PassGAN: A Deep Learning Approach for Password Guessing
PassGAN: A Deep Learning Approach for Password Guessing
Briland Hitaj
Paolo Gasti
G. Ateniese
Fernando Perez-Cruz
GAN
30
246
0
01 Sep 2017
Gradient descent GAN optimization is locally stable
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan
J. Zico Kolter
GAN
43
348
0
13 Jun 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
Previous
12