Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1608.08063
Cited By
v1
v2 (latest)
Wasserstein Discriminant Analysis
Machine-mediated learning (ML), 2016
29 August 2016
Rémi Flamary
Marco Cuturi
Nicolas Courty
A. Rakotomamonjy
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Wasserstein Discriminant Analysis"
50 / 53 papers shown
ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification
Cagla Ipek Kocal
Onat Gungor
T. Rosing
Baris Aksanli
AAML
AI4TS
196
0
0
26 Aug 2025
The quest for the GRAph Level autoEncoder (GRALE)
Paul Krzakala
Gabriel Melo
Charlotte Laclau
Florence dÁlché-Buc
Rémi Flamary
373
2
0
28 May 2025
Manifold learning in metric spaces
Applied and Computational Harmonic Analysis (ACHA), 2025
Liane Xu
Amit Singer
387
0
0
20 Mar 2025
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks
Computer Science Symposium in Russia (CSR), 2025
Cagla Ipek Kocal
Onat Gungor
Aaron Tartz
T. Rosing
Baris Aksanli
AAML
307
1
0
10 Mar 2025
Differentiable Cost-Parameterized Monge Map Estimators
Samuel Howard
George Deligiannidis
Patrick Rebeschini
James Thornton
OT
323
1
0
12 Jun 2024
Canonical Variates in Wasserstein Metric Space
Jia Li
Lin Lin
182
1
0
24 May 2024
Diffeomorphic Measure Matching with Kernels for Generative Modeling
Biraj Pandey
Bamdad Hosseini
Pau Batlle
H. Owhadi
270
4
0
12 Feb 2024
Importance Sparsification for Sinkhorn Algorithm
Journal of machine learning research (JMLR), 2023
Mengyun Li
Jun Yu
Tao Li
Cheng Meng
OT
415
15
0
11 Jun 2023
Entropic Wasserstein Component Analysis
International Workshop on Machine Learning for Signal Processing (MLSP), 2023
Antoine Collas
Titouan Vayer
Rémi Flamary
A. Breloy
186
2
0
09 Mar 2023
A Bi-level Nonlinear Eigenvector Algorithm for Wasserstein Discriminant Analysis
Dong Min Roh
Z. Bai
Ren-Cang Li
100
1
0
21 Nov 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
452
17
0
30 May 2022
Central limit theorem for the Sliced 1-Wasserstein distance and the max-Sliced 1-Wasserstein distance
Xianliang Xu
Zhongyi Huang
367
10
0
29 May 2022
Wasserstein t-SNE
Fynn Bachmann
Philipp Hennig
Dmitry Kobak
158
3
0
16 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
209
31
0
13 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
273
42
0
19 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
215
6
0
28 Mar 2022
On Understanding and Mitigating the Dimensional Collapse of Graph Contrastive Learning: a Non-Maximum Removal Approach
Jiawei Sun
Ruoxin Chen
Jie Li
Chentao Wu
Yue Ding
Junchi Yan
200
1
0
24 Mar 2022
A Push-Relabel Based Additive Approximation for Optimal Transport
Nathaniel Lahn
S. Raghvendra
Kaiyi Zhang
OT
137
1
0
07 Mar 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
International Conference on Machine Learning (ICML), 2022
Luc Brogat-Motte
Rémi Flamary
Céline Brouard
Juho Rousu
Florence dÁlché-Buc
269
27
0
08 Feb 2022
Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Shin Kamada
261
17
0
25 Oct 2021
A stochastic Gauss-Newton algorithm for regularized semi-discrete optimal transport
Bernard Bercu
Jérémie Bigot
S. Gadat
Emilia Siviero
333
7
0
12 Jul 2021
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution
Mathematical programming (Math. Program.), 2021
Bahar Taşkesen
Soroosh Shafieezadeh-Abadeh
Daniel Kuhn
OT
290
39
0
10 Mar 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
International Conference on Machine Learning (ICML), 2021
Adrien Corenflos
James Thornton
George Deligiannidis
Arnaud Doucet
OT
295
90
0
15 Feb 2021
Unsupervised Ground Metric Learning using Wasserstein Singular Vectors
International Conference on Machine Learning (ICML), 2021
Geert-Jan Huizing
Laura Cantini
Gabriel Peyré
SSL
OT
267
8
0
11 Feb 2021
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation
Wei Wang
Baopu Li
Shuhui Yang
Jing Sun
Zhengming Ding
Junyang Chen
Xiao Dong
Zhihui Wang
Haojie Li
201
14
0
25 Jan 2021
A Statistical Test for Probabilistic Fairness
Bahar Taşkesen
Jose H. Blanchet
Daniel Kuhn
Viet Anh Nguyen
FaML
342
47
0
09 Dec 2020
Sufficient dimension reduction for classification using principal optimal transport direction
Neural Information Processing Systems (NeurIPS), 2020
Cheng Meng
Jun Yu
Jingyi Zhang
Ping Ma
Wenxuan Zhong
369
22
0
19 Oct 2020
Structured (De)composable Representations Trained with Neural Networks
Graham Spinks
Marie-Francine Moens
OCL
150
1
0
07 Jul 2020
When OT meets MoM: Robust estimation of Wasserstein Distance
Guillaume Staerman
Pierre Laforgue
Pavlo Mozharovskyi
Florence dÁlché-Buc
OOD
770
31
0
18 Jun 2020
Tensor optimal transport, distance between sets of measures and tensor scaling
S. Friedland
OT
119
11
0
02 May 2020
Stochastic Optimization for Regularized Wasserstein Estimators
International Conference on Machine Learning (ICML), 2020
Marin Ballu
Quentin Berthet
Francis R. Bach
196
17
0
20 Feb 2020
Regularized Optimal Transport is Ground Cost Adversarial
International Conference on Machine Learning (ICML), 2020
Franccois-Pierre Paty
Marco Cuturi
OT
AAML
OOD
330
33
0
10 Feb 2020
Coupling Matrix Manifolds and Their Applications in Optimal Transport
Dai Shi
Junbin Gao
X. Hong
S. Choy
Zhiyong Wang
OT
161
0
0
15 Nov 2019
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Q. Mérigot
Alex Delalande
Frédéric Chazal
OT
205
53
0
14 Oct 2019
Estimation of Wasserstein distances in the Spiked Transport Model
Bernoulli (Bernoulli), 2019
Jonathan Niles-Weed
Philippe Rigollet
232
113
0
16 Sep 2019
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Daniel Kuhn
Peyman Mohajerin Esfahani
Viet Anh Nguyen
Soroosh Shafieezadeh-Abadeh
OOD
332
482
0
23 Aug 2019
Statistical data analysis in the Wasserstein space
ESAIM Proceedings and Surveys (ESAIM Proc. Surv.), 2019
Jérémie Bigot
358
38
0
19 Jul 2019
Screening Sinkhorn Algorithm for Regularized Optimal Transport
Neural Information Processing Systems (NeurIPS), 2019
Mokhtar Z. Alaya
Maxime Bérar
Gilles Gasso
A. Rakotomamonjy
OT
248
38
0
20 Jun 2019
Local Bures-Wasserstein Transport: A Practical and Fast Mapping Approximation
Andrés Hoyos-Idrobo
OT
143
0
0
19 Jun 2019
Deep multi-class learning from label proportions
Gabriel Dulac-Arnold
Neil Zeghidour
Marco Cuturi
Lucas Beyer
Jean-Philippe Vert
231
57
0
30 May 2019
Differentiable Ranks and Sorting using Optimal Transport
Marco Cuturi
O. Teboul
Jean-Philippe Vert
OT
332
179
0
28 May 2019
A Graph Theoretic Additive Approximation of Optimal Transport
Neural Information Processing Systems (NeurIPS), 2019
Nathaniel Lahn
Deepika Mulchandani
S. Raghvendra
OT
202
30
0
28 May 2019
Minimax estimation of smooth optimal transport maps
Jan-Christian Hütter
Philippe Rigollet
OT
339
29
0
14 May 2019
Wasserstein Barycenter Model Ensembling
International Conference on Learning Representations (ICLR), 2019
Pierre Dognin
Igor Melnyk
Youssef Mroueh
Jerret Ross
Cicero Nogueira dos Santos
Tom Sercu
268
27
0
13 Feb 2019
Minimax estimation of smooth densities in Wasserstein distance
Jonathan Niles-Weed
Quentin Berthet
OT
304
51
0
05 Feb 2019
Subspace Robust Wasserstein Distances
François-Pierre Paty
Marco Cuturi
569
173
0
25 Jan 2019
Statistical inference for Bures-Wasserstein barycenters
Alexey Kroshnin
V. Spokoiny
A. Suvorikova
260
43
0
02 Jan 2019
Neural Networks Regularization Through Representation Learning
Soufiane Belharbi
OOD
SSL
203
2
0
13 Jul 2018
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
Giulia Luise
Alessandro Rudi
Massimiliano Pontil
C. Ciliberto
OT
290
140
0
30 May 2018
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
Edouard Grave
Armand Joulin
Quentin Berthet
463
219
0
29 May 2018
1
2
Next
Page 1 of 2
