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1706.00292
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Learning Generative Models with Sinkhorn Divergences
International Conference on Artificial Intelligence and Statistics (AISTATS), 2017
1 June 2017
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
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Papers citing
"Learning Generative Models with Sinkhorn Divergences"
50 / 399 papers shown
On making optimal transport robust to all outliers
Kilian Fatras
OT
149
0
0
23 Jun 2022
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation
Kilian Fatras
Hiroki Naganuma
Ioannis Mitliagkas
OOD
155
8
0
22 Jun 2022
Rethinking Initialization of the Sinkhorn Algorithm
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
James Thornton
Marco Cuturi
OT
232
14
0
15 Jun 2022
Loss Functions for Classification using Structured Entropy
B. Lucena
88
3
0
14 Jun 2022
Asymptotics of smoothed Wasserstein distances in the small noise regime
Neural Information Processing Systems (NeurIPS), 2022
Yunzi Ding
Jonathan Niles-Weed
OT
154
2
0
13 Jun 2022
Meta Optimal Transport
International Conference on Machine Learning (ICML), 2022
Brandon Amos
Samuel N. Cohen
Giulia Luise
I. Redko
OT
317
27
0
10 Jun 2022
Causality Learning With Wasserstein Generative Adversarial Networks
H. Petkov
Colin Hanley
Feng Dong
CML
GAN
OOD
116
0
0
03 Jun 2022
Distributional Convergence of the Sliced Wasserstein Process
Neural Information Processing Systems (NeurIPS), 2022
Jiaqi Xi
Jonathan Niles-Weed
149
8
0
01 Jun 2022
Hilbert Curve Projection Distance for Distribution Comparison
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Tao Li
Cheng Meng
Hongteng Xu
Jun Yu
394
16
0
30 May 2022
Low-rank Optimal Transport: Approximation, Statistics and Debiasing
Neural Information Processing Systems (NeurIPS), 2022
M. Scetbon
Marco Cuturi
OT
202
21
0
24 May 2022
Time-series Transformer Generative Adversarial Networks
Padmanaba Srinivasan
William J. Knottenbelt
AI4TS
197
18
0
23 May 2022
A Unified Framework for Implicit Sinkhorn Differentiation
Computer Vision and Pattern Recognition (CVPR), 2022
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Florian Bernard
Zorah Lähner
AI4CE
177
26
0
13 May 2022
Domain Adaptation meets Individual Fairness. And they get along
Neural Information Processing Systems (NeurIPS), 2022
Debarghya Mukherjee
Felix Petersen
Mikhail Yurochkin
Yuekai Sun
FaML
212
18
0
01 May 2022
An improved central limit theorem and fast convergence rates for entropic transportation costs
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
E. del Barrio
Alberto González Sanz
Jean-Michel Loubes
Jonathan Niles-Weed
OT
206
42
0
19 Apr 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets
International Conference on Medical Imaging with Deep Learning (MIDL), 2022
A. Yeaton
Rahul G. Krishnan
Rebecca J. Mieloszyk
David Alvarez-Melis
G. Huynh
OT
170
10
0
18 Apr 2022
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Eric Lei
Hamed Hassani
Shirin Saeedi Bidokhti
200
26
0
04 Apr 2022
DAG-WGAN: Causal Structure Learning With Wasserstein Generative Adversarial Networks
Embedded Systems and Applications (ESA), 2022
H. Petkov
Colin Hanley
Feng Dong
GAN
OOD
CML
175
7
0
01 Apr 2022
OTFace: Hard Samples Guided Optimal Transport Loss for Deep Face Representation
IEEE transactions on multimedia (IEEE TMM), 2022
J. Qian
Shumin Zhu
Chao-Yue Zhao
Jian Yang
Wai Keung Wong
CVBM
182
6
0
28 Mar 2022
Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters
Tim Tsz-Kit Lau
Han Liu
OOD
261
3
0
23 Mar 2022
SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints
Eric Daoud
Luca Ganassali
Antoine Baker
Marc Lelarge
168
0
0
18 Mar 2022
Adversarial Support Alignment
International Conference on Learning Representations (ICLR), 2022
Shangyuan Tong
T. Garipov
Yang Zhang
Shiyu Chang
Tommi Jaakkola
148
10
0
16 Mar 2022
Interpretable Dysarthric Speaker Adaptation based on Optimal-Transport
Interspeech (Interspeech), 2022
Rosanna Turrisi
Leonardo Badino
118
4
0
14 Mar 2022
Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration
International Conference on Learning Representations (ICLR), 2022
Zifeng Wang
Nan Xue
Ling Lei
Guisong Xia
3DPC
159
5
0
04 Mar 2022
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps
International Conference on Machine Learning (ICML), 2022
Aram-Alexandre Pooladian
Marco Cuturi
Jonathan Niles-Weed
OT
298
19
0
17 Feb 2022
Online Learning to Transport via the Minimal Selection Principle
Annual Conference Computational Learning Theory (COLT), 2022
Wenxuan Guo
Y. Hur
Tengyuan Liang
Christopher Ryan
192
6
0
09 Feb 2022
Optimal Transport of Classifiers to Fairness
Neural Information Processing Systems (NeurIPS), 2022
Maarten Buyl
T. D. Bie
FaML
209
16
0
08 Feb 2022
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
Journal of machine learning research (JMLR), 2022
Quang Minh Nguyen
Hoang H. Nguyen
Yi Zhou
Lam M. Nguyen
OT
237
16
0
08 Feb 2022
Distributional Reinforcement Learning by Sinkhorn Divergence
Neural Information Processing Systems (NeurIPS), 2022
Ke Sun
Yingnan Zhao
Wulong Liu
Bei Jiang
Linglong Kong
440
0
0
01 Feb 2022
Riemannian block SPD coupling manifold and its application to optimal transport
Machine-mediated learning (ML), 2022
Andi Han
Bamdev Mishra
Pratik Jawanpuria
Junbin Gao
OT
255
7
0
30 Jan 2022
Wassersplines for Neural Vector Field--Controlled Animation
Paul Zhang
Dmitriy Smirnov
Justin Solomon
210
5
0
28 Jan 2022
Optimal transport for causal discovery
International Conference on Learning Representations (ICLR), 2022
Ruibo Tu
Kun Zhang
Hedvig Kjellström
Cheng Zhang
303
24
0
23 Jan 2022
An Homogeneous Unbalanced Regularized Optimal Transport model with applications to Optimal Transport with Boundary
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Théo Lacombe
OT
113
4
0
06 Jan 2022
BITES: Balanced Individual Treatment Effect for Survival data
Stefan Schrod
Andreas Schäfer
S. Solbrig
R. Lohmayer
W. Gronwald
P. Oefner
T. Beissbarth
Rainer Spang
H. Zacharias
Michael Altenbuchinger
CML
128
25
0
05 Jan 2022
Learning to Generate Novel Classes for Deep Metric Learning
British Machine Vision Conference (BMVC), 2022
Kyungmoo Lee
Sungyeon Kim
Seunghoon Hong
Suha Kwak
200
1
0
04 Jan 2022
Entropy Regularized Optimal Transport Independence Criterion
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Lang Liu
Soumik Pal
Zaïd Harchaoui
OT
276
17
0
31 Dec 2021
Computing Divergences between Discrete Decomposable Models
Loong Kuan Lee
Nico Piatkowski
Franccois Petitjean
Geoffrey I. Webb
73
4
0
08 Dec 2021
Music-to-Dance Generation with Optimal Transport
Shuang Wu
Shijian Lu
Li Cheng
OT
163
4
0
03 Dec 2021
A new Sinkhorn algorithm with Deletion and Insertion operations
Luc Brun
Benoit Gaüzère
Sébastien Bougleux
Florian Yger
62
1
0
29 Nov 2021
Randomized Stochastic Gradient Descent Ascent
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Othmane Sebbouh
Marco Cuturi
Gabriel Peyré
857
9
0
25 Nov 2021
Input Convex Gradient Networks
Jack Richter-Powell
Jonathan Lorraine
Brandon Amos
147
18
0
23 Nov 2021
Understanding Entropic Regularization in GANs
International Symposium on Information Theory (ISIT), 2021
Daria Reshetova
Yikun Bai
Xiugang Wu
Ayfer Özgür
176
10
0
02 Nov 2021
Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Shin Kamada
181
17
0
25 Oct 2021
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences
A. Rakotomamonjy
Mokhtar Z. Alaya
Maxime Bérar
Gilles Gasso
235
5
0
20 Oct 2021
Generative Modeling with Optimal Transport Maps
Litu Rout
Alexander Korotin
Evgeny Burnaev
OT
DiffM
439
83
0
06 Oct 2021
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
Konstantin Klemmer
Tianlin Xu
Beatrice Acciaio
Daniel B. Neill
AI4TS
234
16
0
30 Sep 2021
Reversible Gromov-Monge Sampler for Simulation-Based Inference
Y. Hur
Wenxuan Guo
Tengyuan Liang
243
13
0
28 Sep 2021
Entropic estimation of optimal transport maps
Aram-Alexandre Pooladian
Jonathan Niles-Weed
OT
260
128
0
24 Sep 2021
Sinkhorn Distributionally Robust Optimization
Operational Research (OR), 2021
Jie Wang
Rui Gao
Yao Xie
537
47
0
24 Sep 2021
Optimal transport weights for causal inference
Eric A. Dunipace
CML
OT
291
11
0
05 Sep 2021
Entropic Gromov-Wasserstein between Gaussian Distributions
International Conference on Machine Learning (ICML), 2021
Khang Le
Dung D. Le
Huy Nguyen
Dat Do
Tung Pham
Nhat Ho
OT
178
20
0
24 Aug 2021
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