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Sliced Gromov-Wasserstein

Sliced Gromov-Wasserstein

24 May 2019
Titouan Vayer
Rémi Flamary
Romain Tavenard
Laetitia Chapel
Nicolas Courty
    OT
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Papers citing "Sliced Gromov-Wasserstein"

17 / 17 papers shown
Title
Kernel Operations on the GPU, with Autodiff, without Memory Overflows
Kernel Operations on the GPU, with Autodiff, without Memory Overflows
Benjamin Charlier
Jean Feydy
J. Glaunès
François-David Collin
G. Durif
19
175
0
27 Mar 2020
Learning Generative Models across Incomparable Spaces
Learning Generative Models across Incomparable Spaces
Charlotte Bunne
David Alvarez-Melis
Andreas Krause
Stefanie Jegelka
GAN
41
112
0
14 May 2019
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
16
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
Subspace Robust Wasserstein Distances
Subspace Robust Wasserstein Distances
François-Pierre Paty
Marco Cuturi
100
151
0
25 Jan 2019
McTorch, a manifold optimization library for deep learning
McTorch, a manifold optimization library for deep learning
Mayank Meghwanshi
Pratik Jawanpuria
Anoop Kunchukuttan
Hiroyuki Kasai
Bamdev Mishra
AI4CE
47
41
0
03 Oct 2018
Gromov-Wasserstein Alignment of Word Embedding Spaces
Gromov-Wasserstein Alignment of Word Embedding Spaces
David Alvarez-Melis
Tommi Jaakkola
OT
41
326
0
31 Aug 2018
Towards Optimal Transport with Global Invariances
Towards Optimal Transport with Global Invariances
David Alvarez-Melis
Stefanie Jegelka
Tommi Jaakkola
OT
50
71
0
25 Jun 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
73
122
0
21 Jun 2018
Optimal Transport for structured data with application on graphs
Optimal Transport for structured data with application on graphs
Titouan Vayer
Laetitia Chapel
Rémi Flamary
R. Tavenard
Nicolas Courty
OT
52
270
0
23 May 2018
Generative Modeling using the Sliced Wasserstein Distance
Generative Modeling using the Sliced Wasserstein Distance
Ishani Deshpande
Ziyu Zhang
Alex Schwing
GAN
36
223
0
29 Mar 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
120
2,133
0
01 Mar 2018
Stochastic Optimization for Large-scale Optimal Transport
Stochastic Optimization for Large-scale Optimal Transport
Aude Genevay
Marco Cuturi
Gabriel Peyré
Francis R. Bach
OT
51
464
0
27 May 2016
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic
  Differentiation
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
James Townsend
Niklas Koep
S. Weichwald
56
246
0
10 Mar 2016
Sliced Wasserstein Kernels for Probability Distributions
Sliced Wasserstein Kernels for Probability Distributions
Soheil Kolouri
Yang Zou
Gustavo K. Rohde
24
159
0
10 Nov 2015
Optimal Transport for Domain Adaptation
Optimal Transport for Domain Adaptation
Nicolas Courty
Rémi Flamary
D. Tuia
A. Rakotomamonjy
OT
OOD
55
1,112
0
02 Jul 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
110
4,210
0
04 Jun 2013
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