Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1906.04516
Cited By
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
11 June 2019
Kimia Nadjahi
Alain Durmus
Umut Simsekli
Roland Badeau
MedIm
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance"
16 / 16 papers shown
Title
Max-Sliced Wasserstein Distance and its use for GANs
Ishani Deshpande
Yuan-Ting Hu
Ruoyu Sun
A. Pyrros
Nasir Siddiqui
Oluwasanmi Koyejo
Zhizhen Zhao
David A. Forsyth
Alex Schwing
GAN
20
200
0
11 Apr 2019
Sliced Wasserstein Generative Models
Jiqing Wu
Zhiwu Huang
Dinesh Acharya
Wen Li
Janine Thoma
D. Paudel
Luc Van Gool
DiffM
113
126
0
10 Apr 2019
Generalized Sliced Wasserstein Distances
Soheil Kolouri
Kimia Nadjahi
Umut Simsekli
Roland Badeau
Gustavo K. Rohde
30
296
0
01 Feb 2019
Subspace Robust Wasserstein Distances
François-Pierre Paty
Marco Cuturi
104
151
0
25 Jan 2019
Sinkhorn AutoEncoders
Giorgio Patrini
Rianne van den Berg
Patrick Forré
M. Carioni
Samarth Bhargav
Max Welling
Tim Genewein
Frank Nielsen
DiffM
27
89
0
02 Oct 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
Antoine Liutkus
Umut Simsekli
Szymon Majewski
Alain Durmus
Fabian-Robert Stöter
DiffM
75
122
0
21 Jun 2018
Banach Wasserstein GAN
J. Adler
Sebastian Lunz
GAN
37
220
0
18 Jun 2018
Generative Modeling using the Sliced Wasserstein Distance
Ishani Deshpande
Ziyu Zhang
Alex Schwing
GAN
41
223
0
29 Mar 2018
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
138
2,133
0
01 Mar 2018
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
99
1,049
0
05 Nov 2017
GAN and VAE from an Optimal Transport Point of View
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
DRL
51
63
0
06 Jun 2017
Learning Generative Models with Sinkhorn Divergences
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
114
625
0
01 Jun 2017
Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu
Olivier Bousquet
Kamalika Chaudhuri
28
137
0
24 May 2017
From optimal transport to generative modeling: the VEGAN cookbook
Olivier Bousquet
Sylvain Gelly
Ilya O. Tolstikhin
Carl-Johann Simon-Gabriel
B. Schoelkopf
OT
41
147
0
22 May 2017
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
813
149,474
0
22 Dec 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
133
4,210
0
04 Jun 2013
1