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1803.05573
Cited By
Improving GANs Using Optimal Transport
International Conference on Learning Representations (ICLR), 2018
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 / 203 papers shown
A Multi-domain Image Translative Diffusion StyleGAN for Iris Presentation Attack Detection
Shivangi Yadav
Arun Ross
101
0
0
16 Oct 2025
Federated Flow Matching
Zifan Wang
Anqi Dong
Mahmoud Selim
Michael M. Zavlanos
Karl H. Johansson
FedML
224
0
0
25 Sep 2025
Generic Event Boundary Detection via Denoising Diffusion
Jaejun Hwang
Dayoung Gong
Manjin Kim
Minsu Cho
DiffM
133
0
0
16 Aug 2025
Joint stochastic localization and applications
Tom Alberts
Yiming Xu
Qiang Ye
212
0
0
19 May 2025
Tree-Sliced Wasserstein Distance with Nonlinear Projection
T. Tran
Viet-Hoang Tran
Thanh T. Chu
Trang Pham
Laurent El Ghaoui
Tam Le
T. Nguyen
303
5
0
02 May 2025
Embedding Empirical Distributions for Computing Optimal Transport Maps
International Symposium on Information Theory (ISIT), 2025
Mingchen Jiang
Peng Xu
Xichen Ye
Xiaohui Chen
Yun Yang
Yifan Chen
OT
320
1
0
24 Apr 2025
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion
Sandipan Dhar
Md. Tousin Akhter
N. D. Jana
Swagatam Das
227
1
0
18 Apr 2025
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap
Alice Driessen
Benedek Harsanyi
Marianna Rapsomaniki
Jannis Born
AI4CE
239
1
0
11 Apr 2025
Bandit Optimal Transport
Lorenzo Croissant
305
0
0
11 Feb 2025
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
333
2
0
28 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Knowledge Discovery and Data Mining (KDD), 2025
Yuqi Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
731
2
0
10 Jan 2025
Auditing and Enforcing Conditional Fairness via Optimal Transport
AAAI Conference on Artificial Intelligence (AAAI), 2024
Mohsen Ghassemi
Alan Mishler
Niccolò Dalmasso
Luhao Zhang
Vamsi K. Potluru
T. Balch
Manuela Veloso
270
1
0
17 Oct 2024
Optimal Transport for Probabilistic Circuits
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
Adrian Ciotinga
YooJung Choi
TPM
OT
456
1
0
16 Oct 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance
Knowledge Discovery and Data Mining (KDD), 2024
Thomas Decker
Alexander Koebler
Michael Lebacher
Ingo Thon
Volker Tresp
Florian Buettner
248
2
0
24 Aug 2024
Plug-in estimation of Schrödinger bridges
Aram-Alexandre Pooladian
Jonathan Niles-Weed
DiffM
OT
282
6
0
21 Aug 2024
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
Yuhan Zhu
Yuyang Ji
Zhiyu Zhao
Gangshan Wu
Limin Wang
VLM
317
24
0
05 Jul 2024
FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm
Xiaobao Wu
Thong Nguyen
Delvin Ce Zhang
William Yang Wang
Anh Tuan Luu
276
4
0
28 May 2024
A New Robust Partial
p
p
p
-Wasserstein-Based Metric for Comparing Distributions
International Conference on Machine Learning (ICML), 2024
S. Raghvendra
Pouyan Shirzadian
Kaiyi Zhang
341
7
0
06 May 2024
Gaussian-Smoothed Sliced Probability Divergences
Mokhtar Z. Alaya
A. Rakotomamonjy
Maxime Bérar
Gilles Gasso
185
0
0
04 Apr 2024
A Sinkhorn-type Algorithm for Constrained Optimal Transport
Xun Tang
Holakou Rahmanian
Michael Shavlovsky
K. K. Thekumparampil
Tesi Xiao
Lexing Ying
175
3
0
08 Mar 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport
Maksim Bobrin
N. Buzun
Dmitrii Krylov
Dmitry V. Dylov
OffRL
293
7
0
20 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
International Conference on Learning Representations (ICLR), 2024
Pablo Lemos
Sammy N. Sharief
Nikolay Malkin
Salma Salhi
Connor Stone
Laurence Perreault Levasseur
Y. Hezaveh
502
7
0
06 Feb 2024
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent
Benjamin Gess
Sebastian Kassing
Nimit Rana
204
3
0
02 Feb 2024
Sliced Wasserstein with Random-Path Projecting Directions
International Conference on Machine Learning (ICML), 2024
Khai Nguyen
Shujian Zhang
Tam Le
Nhat Ho
OT
DiffM
310
16
0
29 Jan 2024
On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling
AAAI Conference on Artificial Intelligence (AAAI), 2024
Xiaobao Wu
Fengjun Pan
Thong Nguyen
Yichao Feng
Chaoqun Liu
Cong-Duy Nguyen
Anh Tuan Luu
383
33
0
25 Jan 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Computer Vision and Pattern Recognition (CVPR), 2024
Marianne Rakic
Hallee E. Wong
Jose Javier Gonzalez Ortiz
Beth Cimini
John Guttag
Adrian V. Dalca
281
23
0
24 Jan 2024
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
International Conference on Learning Representations (ICLR), 2024
Xun Tang
Michael Shavlovsky
Holakou Rahmanian
Elisa Tardini
K. K. Thekumparampil
Tesi Xiao
Lexing Ying
OT
190
10
0
20 Jan 2024
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition
Computer Vision and Pattern Recognition (CVPR), 2023
Tom Tongjia Chen
Hongshan Yu
Zhengeng Yang
Zechuan Li
Wei Sun
Chen Chen
383
13
0
30 Nov 2023
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Othmane Sebbouh
Marco Cuturi
Gabriel Peyré
OT
319
7
0
09 Nov 2023
Sample Complexity Bounds for Estimating Probability Divergences under Invariances
International Conference on Machine Learning (ICML), 2023
B. Tahmasebi
Stefanie Jegelka
286
9
0
06 Nov 2023
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch
Tim Z. Xiao
Johannes Zenn
Kushagra Pandey
241
3
0
30 Oct 2023
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Tianyi Lin
Marco Cuturi
Michael I. Jordan
OT
317
1
0
21 Oct 2023
On Unsupervised Image-to-image translation and GAN stability
BahaaEddin AlAila
Zahra Jandaghi
Abolfazl Farahani
M. Al-Saad
GAN
172
1
0
18 Oct 2023
Sampling via Gradient Flows in the Space of Probability Measures
Yifan Chen
Daniel Zhengyu Huang
Jiaoyang Huang
Sebastian Reich
Andrew M. Stuart
356
19
0
05 Oct 2023
SE(3)-Stochastic Flow Matching for Protein Backbone Generation
International Conference on Learning Representations (ICLR), 2023
A. Bose
Tara Akhound-Sadegh
Guillaume Huguet
Kilian Fatras
Jarrid Rector-Brooks
Cheng-Hao Liu
A. Nica
Maksym Korablyov
Michael M. Bronstein
Alexander Tong
DiffM
531
134
0
03 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning
Xiao Zhang
Michael Maire
418
2
0
30 Sep 2023
Flow Factorized Representation Learning
Neural Information Processing Systems (NeurIPS), 2023
Yue Song
Thomas Anderson Keller
Andrii Zadaianchuk
Max Welling
DRL
OOD
331
5
0
22 Sep 2023
Quasi-Monte Carlo for 3D Sliced Wasserstein
International Conference on Learning Representations (ICLR), 2023
Khai Nguyen
Nicola Bariletto
Nhat Ho
OT
3DPC
273
24
0
21 Sep 2023
Few-Shot Object Detection via Synthetic Features with Optimal Transport
Computer Vision and Image Understanding (CVIU), 2023
Anh-Khoa Nguyen Vu
Thanh-Toan Do
Vinh-Tiep Nguyen
Tam Le
M. Tran
Tam V. Nguyen
274
4
0
29 Aug 2023
Simulation-free Schrödinger bridges via score and flow matching
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Alexander Tong
Nikolay Malkin
Kilian Fatras
Lazar Atanackovic
Yanlei Zhang
G. Huguet
Guy Wolf
Yoshua Bengio
DiffM
OT
316
59
0
07 Jul 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
Neural Information Processing Systems (NeurIPS), 2023
Feiyang Kang
H. Just
Anit Kumar Sahu
R. Jia
289
15
0
05 Jul 2023
SoK: Privacy-Preserving Data Synthesis
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Yuzheng Hu
Fan Wu
Yue Liu
Yunhui Long
Gonzalo Munilla Garrido
Chang Ge
Bolin Ding
David A. Forsyth
Yue Liu
Basel Alomair
339
49
0
05 Jul 2023
On a Relation Between the Rate-Distortion Function and Optimal Transport
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
OT
162
4
0
01 Jul 2023
Effective Neural Topic Modeling with Embedding Clustering Regularization
International Conference on Machine Learning (ICML), 2023
Xiaobao Wu
Xinshuai Dong
Thong Nguyen
Anh Tuan Luu
BDL
223
72
0
07 Jun 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
Neural Information Processing Systems (NeurIPS), 2023
Jacob Lindbäck
Zesen Wang
Mikael Johansson
OT
270
2
0
29 May 2023
ComGAN: Toward GANs Exploiting Multiple Samples
Hae-Hwan Lee
GAN
195
0
0
24 Apr 2023
Ambiguous Medical Image Segmentation using Diffusion Models
Computer Vision and Pattern Recognition (CVPR), 2023
Aimon Rahman
Jeya Maria Jose Valanarasu
Ilker Hacihaliloglu
V. Patel
MedIm
DiffM
236
164
0
10 Apr 2023
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport
Mukul Bhutani
J. Zico Kolter
OT
AI4TS
135
0
0
14 Mar 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
Xavier Aramayo Carrasco
Maksim Nekrashevich
Petr Mokrov
Evgeny Burnaev
Alexander Korotin
OT
507
7
0
10 Mar 2023
The Monge Gap: A Regularizer to Learn All Transport Maps
International Conference on Machine Learning (ICML), 2023
Théo Uscidda
Marco Cuturi
OT
203
34
0
09 Feb 2023
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