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Asymptotic Guarantees for Learning Generative Models with the
  Sliced-Wasserstein Distance

Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance

11 June 2019
Kimia Nadjahi
Alain Durmus
Umut Simsekli
Roland Badeau
    MedIm
ArXivPDFHTML

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
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
26
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
Generalized Sliced Wasserstein Distances
Soheil Kolouri
Kimia Nadjahi
Umut Simsekli
Roland Badeau
Gustavo K. Rohde
44
296
0
01 Feb 2019
Subspace Robust Wasserstein Distances
Subspace Robust Wasserstein Distances
François-Pierre Paty
Marco Cuturi
104
151
0
25 Jan 2019
Sinkhorn AutoEncoders
Sinkhorn AutoEncoders
Giorgio Patrini
Rianne van den Berg
Patrick Forré
M. Carioni
Samarth Bhargav
Max Welling
Tim Genewein
Frank Nielsen
DiffM
30
89
0
02 Oct 2018
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal
  Transport and Diffusions
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
Banach Wasserstein GAN
J. Adler
Sebastian Lunz
GAN
40
220
0
18 Jun 2018
Generative Modeling using the Sliced Wasserstein Distance
Generative Modeling using the Sliced Wasserstein Distance
Ishani Deshpande
Ziyu Zhang
Alex Schwing
GAN
41
223
0
29 Mar 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
140
2,133
0
01 Mar 2018
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
104
1,049
0
05 Nov 2017
GAN and VAE from an Optimal Transport Point of View
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
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
Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu
Olivier Bousquet
Kamalika Chaudhuri
31
137
0
24 May 2017
From optimal transport to generative modeling: the VEGAN cookbook
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
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
887
149,474
0
22 Dec 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
140
4,210
0
04 Jun 2013
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