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Improving GANs Using Optimal Transport

Improving GANs Using Optimal Transport

15 March 2018
Tim Salimans
Han Zhang
Alec Radford
Dimitris N. Metaxas
    OT
    GAN
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Papers citing "Improving GANs Using Optimal Transport"

50 / 57 papers shown
Title
Tree-Sliced Wasserstein Distance with Nonlinear Projection
Tree-Sliced Wasserstein Distance with Nonlinear Projection
T. Tran
Viet-Hoang Tran
Thanh T. Chu
Trang Pham
Laurent El Ghaoui
Tam Le
T. Nguyen
19
0
0
02 May 2025
Bandit Optimal Transport
Bandit Optimal Transport
Lorenzo Croissant
77
0
0
11 Feb 2025
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs
Sawyer Robertson
Zhengchao Wan
Alexander Cloninger
OT
47
2
0
28 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Yonghao Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
129
0
0
10 Jan 2025
Optimal Transport for Probabilistic Circuits
Optimal Transport for Probabilistic Circuits
Adrian Ciotinga
YooJung Choi
TPM
OT
43
0
0
16 Oct 2024
AWT: Transferring Vision-Language Models via Augmentation, Weighting,
  and Transportation
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
Yuhan Zhu
Yuyang Ji
Zhiyu Zhao
Gangshan Wu
Limin Wang
VLM
39
7
0
05 Jul 2024
A New Robust Partial $p$-Wasserstein-Based Metric for Comparing
  Distributions
A New Robust Partial ppp-Wasserstein-Based Metric for Comparing Distributions
S. Raghvendra
Pouyan Shirzadian
Kaiyi Zhang
42
1
0
06 May 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport
Align Your Intents: Offline Imitation Learning via Optimal Transport
Maksim Bobrin
N. Buzun
Dmitrii Krylov
Dmitry V. Dylov
OffRL
41
3
0
20 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
Pablo Lemos
Sammy N. Sharief
Nikolay Malkin
Laurence Perreault Levasseur
Y. Hezaveh
Laurence Perreault-Levasseur
Yashar Hezaveh
23
3
0
06 Feb 2024
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent
Benjamin Gess
Sebastian Kassing
Nimit Rana
37
0
0
02 Feb 2024
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
31
4
0
20 Jan 2024
Performance Scaling via Optimal Transport: Enabling Data Selection from
  Partially Revealed Sources
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
Feiyang Kang
H. Just
Anit Kumar Sahu
R. Jia
50
10
0
05 Jul 2023
On a Relation Between the Rate-Distortion Function and Optimal Transport
On a Relation Between the Rate-Distortion Function and Optimal Transport
E. Lei
Hamed Hassani
Shirin Saeedi Bidokhti
OT
8
2
0
01 Jul 2023
Bringing regularized optimal transport to lightspeed: a splitting method
  adapted for GPUs
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
Jacob Lindbäck
Zesen Wang
Mikael Johansson
OT
40
1
0
29 May 2023
ComGAN: Toward GANs Exploiting Multiple Samples
ComGAN: Toward GANs Exploiting Multiple Samples
Hae-Hwan Lee
GAN
18
0
0
24 Apr 2023
The Monge Gap: A Regularizer to Learn All Transport Maps
The Monge Gap: A Regularizer to Learn All Transport Maps
Théo Uscidda
Marco Cuturi
OT
50
26
0
09 Feb 2023
Improving Cross-lingual Information Retrieval on Low-Resource Languages
  via Optimal Transport Distillation
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation
Zhiqi Huang
Puxuan Yu
James Allan
VLM
30
26
0
29 Jan 2023
Optimal transport map estimation in general function spaces
Optimal transport map estimation in general function spaces
Vincent Divol
Jonathan Niles-Weed
Aram-Alexandre Pooladian
OT
35
22
0
07 Dec 2022
Unbalanced Optimal Transport, from Theory to Numerics
Unbalanced Optimal Transport, from Theory to Numerics
Thibault Séjourné
Gabriel Peyré
Franccois-Xavier Vialard
OT
25
47
0
16 Nov 2022
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport
David Alvarez-Melis
Nicolò Fusi
Lester W. Mackey
Tal Wagner
OT
19
1
0
24 Oct 2022
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Guangyi Chen
Weiran Yao
Xiangchen Song
Xinyue Li
Yongming Rao
Kun Zhang
VPVLM
VLM
8
62
0
03 Oct 2022
Hierarchical Sliced Wasserstein Distance
Hierarchical Sliced Wasserstein Distance
Khai Nguyen
Tongzheng Ren
Huy Nguyen
Litu Rout
T. Nguyen
Nhat Ho
26
19
0
27 Sep 2022
Evaluating the Quality and Diversity of DCGAN-based Generatively
  Synthesized Diabetic Retinopathy Imagery
Evaluating the Quality and Diversity of DCGAN-based Generatively Synthesized Diabetic Retinopathy Imagery
Cristina-Madalina Dragan
Muhammad Muneeb Saad
M. H. Rehmani
Ruairi O'Reilly
EGVM
MedIm
35
4
0
10 Aug 2022
Transforming Image Generation from Scene Graphs
Transforming Image Generation from Scene Graphs
Renato Sortino
S. Palazzo
C. Spampinato
ViT
29
2
0
01 Jul 2022
Algorithms for Weak Optimal Transport with an Application to Economics
Algorithms for Weak Optimal Transport with an Application to Economics
Franccois-Pierre Paty
Philippe Choné
F. Kramarz
OT
11
2
0
19 May 2022
An Accelerated Stochastic Algorithm for Solving the Optimal Transport
  Problem
An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem
Yiling Xie
Yiling Luo
X. Huo
16
10
0
02 Mar 2022
A Survey on Training Challenges in Generative Adversarial Networks for
  Biomedical Image Analysis
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis
Muhammad Muneeb Saad
Ruairi O'Reilly
M. H. Rehmani
MedIm
38
35
0
19 Jan 2022
Near-optimal estimation of smooth transport maps with kernel
  sums-of-squares
Near-optimal estimation of smooth transport maps with kernel sums-of-squares
Boris Muzellec
A. Vacher
Francis R. Bach
Franccois-Xavier Vialard
Alessandro Rudi
OT
32
20
0
03 Dec 2021
Music-to-Dance Generation with Optimal Transport
Music-to-Dance Generation with Optimal Transport
Shuang Wu
Shijian Lu
Li Cheng
OT
19
3
0
03 Dec 2021
Input Convex Gradient Networks
Input Convex Gradient Networks
Jack Richter-Powell
Jonathan Lorraine
Brandon Amos
10
15
0
23 Nov 2021
Don't Generate Me: Training Differentially Private Generative Models
  with Sinkhorn Divergence
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao
Alex Bie
Arash Vahdat
Sanja Fidler
Karsten Kreis
SyDa
DiffM
11
71
0
01 Nov 2021
Entropic Gromov-Wasserstein between Gaussian Distributions
Entropic Gromov-Wasserstein between Gaussian Distributions
Khang Le
Dung D. Le
Huy Nguyen
Dat Do
Tung Pham
Nhat Ho
OT
15
18
0
24 Aug 2021
Proximal Optimal Transport Modeling of Population Dynamics
Proximal Optimal Transport Modeling of Population Dynamics
Charlotte Bunne
Laetitia Meng-Papaxanthos
Andreas Krause
Marco Cuturi
OT
38
81
0
11 Jun 2021
A Survey on Optimal Transport for Machine Learning: Theory and
  Applications
A Survey on Optimal Transport for Machine Learning: Theory and Applications
Luis Caicedo Torres
Luiz Manella Pereira
M. Amini
OOD
OT
28
47
0
03 Jun 2021
Improving Approximate Optimal Transport Distances using Quantization
Improving Approximate Optimal Transport Distances using Quantization
Gaspard Beugnot
Aude Genevay
Kristjan Greenewald
Justin Solomon
OT
MQ
149
9
0
25 Feb 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation
Cross-Modal Contrastive Learning for Text-to-Image Generation
Han Zhang
Jing Yu Koh
Jason Baldridge
Honglak Lee
Yinfei Yang
GAN
20
355
0
12 Jan 2021
Minibatch optimal transport distances; analysis and applications
Minibatch optimal transport distances; analysis and applications
Kilian Fatras
Younes Zine
Szymon Majewski
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
63
53
0
05 Jan 2021
Unpaired Deep Learning for Accelerated MRI using Optimal Transport
  Driven CycleGAN
Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN
Gyutaek Oh
Byeongsu Sim
Hyungjin Chung
Leonard Sunwoo
J. C. Ye
OOD
MedIm
27
69
0
29 Aug 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural
  Networks
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
JiaoJiao Fan
Amirhossein Taghvaei
Yongxin Chen
34
56
0
08 Jul 2020
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
A Convergent and Dimension-Independent Min-Max Optimization Algorithm
Vijay Keswani
Oren Mangoubi
Sushant Sachdeva
Nisheeth K. Vishnoi
13
1
0
22 Jun 2020
Fast Unbalanced Optimal Transport on a Tree
Fast Unbalanced Optimal Transport on a Tree
Ryoma Sato
M. Yamada
H. Kashima
OT
17
25
0
04 Jun 2020
Physarum Powered Differentiable Linear Programming Layers and
  Applications
Physarum Powered Differentiable Linear Programming Layers and Applications
Zihang Meng
Sathya Ravi
Vikas Singh
19
5
0
30 Apr 2020
GANs May Have No Nash Equilibria
GANs May Have No Nash Equilibria
Farzan Farnia
Asuman Ozdaglar
GAN
20
43
0
21 Feb 2020
Sinkhorn Divergences for Unbalanced Optimal Transport
Sinkhorn Divergences for Unbalanced Optimal Transport
Thibault Séjourné
Jean Feydy
Franccois-Xavier Vialard
A. Trouvé
Gabriel Peyré
OT
11
71
0
28 Oct 2019
On the estimation of the Wasserstein distance in generative models
On the estimation of the Wasserstein distance in generative models
Thomas Pinetz
Daniel Soukup
T. Pock
GAN
11
9
0
02 Oct 2019
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
21
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
Regularity as Regularization: Smooth and Strongly Convex Brenier
  Potentials in Optimal Transport
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport
François-Pierre Paty
Alexandre d’Aspremont
Marco Cuturi
OT
26
31
0
26 May 2019
Sliced Wasserstein Generative Models
Jiqing Wu
Zhiwu Huang
Dinesh Acharya
Wen Li
Janine Thoma
D. Paudel
Luc Van Gool
DiffM
22
124
0
10 Apr 2019
2-Wasserstein Approximation via Restricted Convex Potentials with
  Application to Improved Training for GANs
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs
Amirhossein Taghvaei
Amin Jalali
19
42
0
19 Feb 2019
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