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GAN and VAE from an Optimal Transport Point of View

GAN and VAE from an Optimal Transport Point of View

6 June 2017
Aude Genevay
Gabriel Peyré
Marco Cuturi
    OT
    DRL
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Papers citing "GAN and VAE from an Optimal Transport Point of View"

15 / 15 papers shown
Title
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Xun Tang
Michael Shavlovsky
Holakou Rahmanian
Elisa Tardini
K. K. Thekumparampil
Tesi Xiao
Lexing Ying
OT
39
4
0
20 Jan 2024
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance
Ilana Sebag
Muni Sreenivas Pydi
Jean-Yves Franceschi
Alain Rakotomamonjy
Mike Gartrell
Jamal Atif
Alexandre Allauzen
24
2
0
13 Dec 2023
On Certified Generalization in Structured Prediction
On Certified Generalization in Structured Prediction
Bastian Boll
Christoph Schnörr
23
0
0
15 Jun 2023
Linear Optimal Partial Transport Embedding
Linear Optimal Partial Transport Embedding
Yikun Bai
I. Medri
Rocio Diaz Martin
Rana Muhammad Shahroz Khan
Soheil Kolouri
OT
43
9
0
07 Feb 2023
Sliced Optimal Partial Transport
Sliced Optimal Partial Transport
Yikun Bai
Bernhard Schmitzer
Matthew Thorpe
Soheil Kolouri
OT
26
20
0
15 Dec 2022
Wasserstein Iterative Networks for Barycenter Estimation
Wasserstein Iterative Networks for Barycenter Estimation
Alexander Korotin
Vage Egiazarian
Lingxiao Li
Evgeny Burnaev
29
24
0
28 Jan 2022
Bi-Discriminator Class-Conditional Tabular GAN
Bi-Discriminator Class-Conditional Tabular GAN
Mohammad Esmaeilpour
Nourhene Chaalia
Adel Abusitta
François-Xavier Devailly
Wissem Maazoun
P. Cardinal
18
12
0
12 Nov 2021
A Hölderian backtracking method for min-max and min-min problems
A Hölderian backtracking method for min-max and min-min problems
Jérôme Bolte
Lilian E. Glaudin
Edouard Pauwels
M. Serrurier
29
9
0
17 Jul 2020
Defense Against Adversarial Attacks Using Feature Scattering-based
  Adversarial Training
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
Haichao Zhang
Jianyu Wang
AAML
23
230
0
24 Jul 2019
A gradual, semi-discrete approach to generative network training via
  explicit Wasserstein minimization
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization
Yucheng Chen
Matus Telgarsky
Chao Zhang
Bolton Bailey
Daniel J. Hsu
Jian-wei Peng
GAN
OT
16
17
0
08 Jun 2019
Flat Metric Minimization with Applications in Generative Modeling
Flat Metric Minimization with Applications in Generative Modeling
Thomas Möllenhoff
Daniel Cremers
17
5
0
12 May 2019
Conditional deep surrogate models for stochastic, high-dimensional, and
  multi-fidelity systems
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems
Yibo Yang
P. Perdikaris
SyDa
BDL
AI4CE
23
55
0
15 Jan 2019
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
35
119
0
21 Jun 2018
Autoregressive Quantile Networks for Generative Modeling
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski
Will Dabney
Rémi Munos
DRL
20
85
0
14 Jun 2018
Improving GANs Using Optimal Transport
Improving GANs Using Optimal Transport
Tim Salimans
Han Zhang
Alec Radford
Dimitris N. Metaxas
OT
GAN
11
322
0
15 Mar 2018
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