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GANs May Have No Nash Equilibria

GANs May Have No Nash Equilibria

21 February 2020
Farzan Farnia
Asuman Ozdaglar
    GAN
ArXivPDFHTML

Papers citing "GANs May Have No Nash Equilibria"

12 / 12 papers shown
Title
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
Kyeongkook Seo
Dong-Jun Han
Jaejun Yoo
42
0
0
11 Mar 2025
The Representation Jensen-Shannon Divergence
The Representation Jensen-Shannon Divergence
J. Hoyos-Osorio
Santiago Posso-Murillo
L. S. Giraldo
40
6
0
25 May 2023
Pursuit of a Discriminative Representation for Multiple Subspaces via
  Sequential Games
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games
Druv Pai
Michael Psenka
Chih-Yuan Chiu
Manxi Wu
Edgar Dobriban
Y. Ma
19
6
0
18 Jun 2022
MEGA: Model Stealing via Collaborative Generator-Substitute Networks
MEGA: Model Stealing via Collaborative Generator-Substitute Networks
Chi Hong
Jiyue Huang
L. Chen
19
2
0
31 Jan 2022
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
194
345
0
15 Dec 2021
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai
Shengbang Tong
Mingyang Li
Ziyang Wu
Michael Psenka
...
Pengyuan Zhai
Yaodong Yu
Xiaojun Yuan
Harry Shum
Yi-An Ma
22
30
0
12 Nov 2021
Sig-Wasserstein GANs for Time Series Generation
Sig-Wasserstein GANs for Time Series Generation
Hao Ni
Lukasz Szpruch
Marc Sabate Vidales
Baoren Xiao
Magnus Wiese
Shujian Liao
SyDa
AI4TS
19
73
0
01 Nov 2021
Deep Learning in Human Activity Recognition with Wearable Sensors: A
  Review on Advances
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Shibo Zhang
Yaxuan Li
Shen Zhang
Farzad Shahabi
S. Xia
Yuanbei Deng
N. Alshurafa
BDL
23
295
0
31 Oct 2021
Understanding Overparameterization in Generative Adversarial Networks
Understanding Overparameterization in Generative Adversarial Networks
Yogesh Balaji
M. Sajedi
N. Kalibhat
Mucong Ding
Dominik Stöger
Mahdi Soltanolkotabi
S. Feizi
AI4CE
14
21
0
12 Apr 2021
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks
Aye Phyu Phyu Aung
Xinrun Wang
Runsheng Yu
Bo An
Senthilnath Jayavelu
Xiaoli Li
29
8
0
17 Feb 2021
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack
  and Learning
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning
Hongjun Wang
Guanbin Li
Xiaobai Liu
Liang Lin
GAN
AAML
16
22
0
15 Oct 2020
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
Yuanhao Wang
Guodong Zhang
Jimmy Ba
31
100
0
16 Oct 2019
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