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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
ArXivPDFHTML

Papers citing "Improving GANs Using Optimal Transport"

50 / 69 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
24
0
0
02 May 2025
Bandit Optimal Transport
Bandit Optimal Transport
Lorenzo Croissant
82
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
55
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
Y. Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
162
0
0
10 Jan 2025
Optimal Transport for Probabilistic Circuits
Optimal Transport for Probabilistic Circuits
Adrian Ciotinga
YooJung Choi
TPM
OT
47
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
47
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
46
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
51
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
29
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
40
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
39
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
59
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
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
OT
10
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
31
0
0
24 Apr 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Xavier Aramayo Carrasco
Maksim Nekrashevich
Petr Mokrov
Evgeny Burnaev
Alexander Korotin
OT
40
5
0
10 Mar 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
55
27
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
38
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
38
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
48
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
30
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
33
20
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
AADG: Automatic Augmentation for Domain Generalization on Retinal Image
  Segmentation
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation
Junyan Lyu
Yiqi Zhang
Yijin Huang
Li Lin
Pujin Cheng
Xiaoying Tang
MedIm
16
46
0
27 Jul 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
18
2
0
19 May 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets
Hierarchical Optimal Transport for Comparing Histopathology Datasets
A. Yeaton
Rahul G. Krishnan
Rebecca J. Mieloszyk
David Alvarez-Melis
G. Huynh
OT
25
9
0
18 Apr 2022
Cross-Modality Earth Mover's Distance for Visible Thermal Person
  Re-Identification
Cross-Modality Earth Mover's Distance for Visible Thermal Person Re-Identification
Yongguo Ling
Zhun Zhong
Donglin Cao
Zhiming Luo
Yaojin Lin
Shaozi Li
N. Sebe
27
28
0
03 Mar 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
24
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
44
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
27
3
0
03 Dec 2021
Input Convex Gradient Networks
Input Convex Gradient Networks
Jack Richter-Powell
Jonathan Lorraine
Brandon Amos
12
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
19
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
24
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
51
81
0
11 Jun 2021
Large-scale optimal transport map estimation using projection pursuit
Large-scale optimal transport map estimation using projection pursuit
Cheng Meng
Y. Ke
Jingyi Zhang
Mengrui Zhang
Wenxuan Zhong
Ping Ma
OT
24
38
0
09 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
34
47
0
03 Jun 2021
Re-evaluating Word Mover's Distance
Re-evaluating Word Mover's Distance
Ryoma Sato
M. Yamada
H. Kashima
36
23
0
30 May 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
184
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
22
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
74
54
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
30
69
0
29 Aug 2020
Evaluating Lossy Compression Rates of Deep Generative Models
Evaluating Lossy Compression Rates of Deep Generative Models
Sicong Huang
Alireza Makhzani
Yanshuai Cao
Roger C. Grosse
EGVM
DRL
8
27
0
15 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
42
57
0
08 Jul 2020
Learning to Generate Novel Domains for Domain Generalization
Learning to Generate Novel Domains for Domain Generalization
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
28
445
0
07 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
15
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
29
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
23
5
0
30 Apr 2020
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