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Wasserstein GAN Can Perform PCA
v1v2 (latest)

Wasserstein GAN Can Perform PCA

25 February 2019
Jaewoong Cho
Changho Suh
    GAN
ArXiv (abs)PDFHTML

Papers citing "Wasserstein GAN Can Perform PCA"

4 / 4 papers shown
Neural networks trained with SGD learn distributions of increasing
  complexity
Neural networks trained with SGD learn distributions of increasing complexityInternational Conference on Machine Learning (ICML), 2022
Maria Refinetti
Alessandro Ingrosso
Sebastian Goldt
UQCV
347
54
0
21 Nov 2022
On the Optimization Landscape of Maximum Mean Discrepancy
On the Optimization Landscape of Maximum Mean Discrepancy
A. Itai
Amir Globerson
A. Wiesel
172
1
0
26 Oct 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein
  Distance)
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
Jan Stanczuk
Christian Etmann
L. Kreusser
Carola-Bibiane Schönlieb
GAN
350
52
0
02 Mar 2021
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
WGAN with an Infinitely Wide Generator Has No Spurious Stationary PointsInternational Conference on Machine Learning (ICML), 2021
Albert No
Taeho Yoon
Sehyun Kwon
Ernest K. Ryu
GAN
227
2
0
15 Feb 2021
1
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