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Fast Optimal Transport Averaging of Neuroimaging Data
v1v2 (latest)

Fast Optimal Transport Averaging of Neuroimaging Data

Information Processing in Medical Imaging (IPMI), 2015
30 March 2015
Alexandre Gramfort
Gabriel Peyré
Marco Cuturi
    OT
ArXiv (abs)PDFHTML

Papers citing "Fast Optimal Transport Averaging of Neuroimaging Data"

49 / 49 papers shown
Lower Bounds on Adversarial Robustness for Multiclass Classification with General Loss Functions
Lower Bounds on Adversarial Robustness for Multiclass Classification with General Loss Functions
Camilo Andrés García Trillos
Nicolas García Trillos
248
0
0
02 Oct 2025
Sparse Partial Optimal Transport via Quadratic Regularization
Sparse Partial Optimal Transport via Quadratic RegularizationJournal of Computer Science (JCS), 2025
K. Tran
K. Nguyen
Anh Nguyen
Thong Huynh
Son Pham
...
Manh Pham
Bang Vo
M. Tran
Mai Ngoc Tran
Dung Luong
OT
143
1
0
11 Aug 2025
Diffeomorphic Measure Matching with Kernels for Generative Modeling
Diffeomorphic Measure Matching with Kernels for Generative Modeling
Biraj Pandey
Bamdad Hosseini
Pau Batlle
H. Owhadi
299
4
0
12 Feb 2024
A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem
A Novel Skip Orthogonal List for Dynamic Optimal Transport ProblemAAAI Conference on Artificial Intelligence (AAAI), 2023
Xiaoyang Xu
Hu Ding
OT
338
1
0
27 Oct 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients
Mete Kemertas
Allan D. Jepson
Amir-massoud Farahmand
OT
479
6
0
17 Jul 2023
Unbalanced Diffusion Schrödinger Bridge
Unbalanced Diffusion Schrödinger Bridge
Matteo Pariset
Ya-Ping Hsieh
Charlotte Bunne
Andreas Krause
Valentin De Bortoli
DiffMOT
348
10
0
15 Jun 2023
Unbalanced Optimal Transport, from Theory to Numerics
Unbalanced Optimal Transport, from Theory to Numerics
Thibault Séjourné
Gabriel Peyré
Franccois-Xavier Vialard
OT
353
70
0
16 Nov 2022
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings
Frederike Lubeck
Charlotte Bunne
Gabriele Gut
J. Castillo
L. Pelkmans
David Alvarez-Melis
OT
359
23
0
30 Sep 2022
Optimal Transport Features for Morphometric Population Analysis
Optimal Transport Features for Morphometric Population Analysis
Samuel Gerber
Marc Niethammer
Ebrahim Ebrahim
J. Piven
Stephen R Dager
Martin Styner
S. Aylward
A. Enquobahrie
OOD
81
7
0
11 Aug 2022
Aligning individual brains with Fused Unbalanced Gromov-Wasserstein
Aligning individual brains with Fused Unbalanced Gromov-WassersteinNeural Information Processing Systems (NeurIPS), 2022
Alexis Thual
Huy Tran
Tatiana Zemskova
Nicolas Courty
Rémi Flamary
S. Dehaene
Bertrand Thirion
OT
377
46
0
19 Jun 2022
A Homotopy Algorithm for Optimal Transport
A Homotopy Algorithm for Optimal Transport
Roozbeh Yousefzadeh
OT
107
0
0
13 Dec 2021
Learning with symmetric positive definite matrices via generalized
  Bures-Wasserstein geometry
Learning with symmetric positive definite matrices via generalized Bures-Wasserstein geometryInternational Conference on Geometric Science of Information (GSI), 2021
Andi Han
Bamdev Mishra
Pratik Jawanpuria
Junbin Gao
252
6
0
20 Oct 2021
A stochastic Gauss-Newton algorithm for regularized semi-discrete
  optimal transport
A stochastic Gauss-Newton algorithm for regularized semi-discrete optimal transport
Bernard Bercu
Jérémie Bigot
S. Gadat
Emilia Siviero
340
7
0
12 Jul 2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence
  of gradient descent
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent
Jason M. Altschuler
Sinho Chewi
P. Gerber
Austin J. Stromme
433
54
0
16 Jun 2021
Smooth Bilevel Programming for Sparse Regularization
Smooth Bilevel Programming for Sparse RegularizationNeural Information Processing Systems (NeurIPS), 2021
C. Poon
Gabriel Peyré
337
21
0
02 Jun 2021
Sampling From the Wasserstein Barycenter
Sampling From the Wasserstein Barycenter
Chiheb Daaloul
Thibaut Le Gouic
J. Liandrat
M. I. O. Technology
217
6
0
04 May 2021
Non-Asymptotic Performance Guarantees for Neural Estimation of
  $\mathsf{f}$-Divergences
Non-Asymptotic Performance Guarantees for Neural Estimation of f\mathsf{f}f-DivergencesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Sreejith Sreekumar
Zhengxin Zhang
Ziv Goldfeld
FedML
249
23
0
11 Mar 2021
Decentralized Distributed Optimization for Saddle Point Problems
Decentralized Distributed Optimization for Saddle Point ProblemsOptimization Methods and Software (OMS), 2021
Alexander Rogozin
Alexander Beznosikov
D. Dvinskikh
D. Kovalev
Pavel Dvurechensky
Alexander Gasnikov
518
23
0
15 Feb 2021
Wasserstein barycenters are NP-hard to compute
Wasserstein barycenters are NP-hard to computeSIAM Journal on Mathematics of Data Science (SIMODS), 2021
Jason M. Altschuler
Enric Boix-Adserà
OT
731
58
0
04 Jan 2021
Making transport more robust and interpretable by moving data through a
  small number of anchor points
Making transport more robust and interpretable by moving data through a small number of anchor pointsInternational Conference on Machine Learning (ICML), 2020
Chi-Heng Lin
Mehdi Azabou
Eva L. Dyer
OTOOD
462
25
0
21 Dec 2020
Randomised Wasserstein Barycenter Computation: Resampling with
  Statistical Guarantees
Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees
F. Heinemann
Axel Munk
Y. Zemel
280
19
0
11 Dec 2020
MMD-Regularized Unbalanced Optimal Transport
MMD-Regularized Unbalanced Optimal Transport
Piyushi Manupriya
SakethaNath Jagarlapudi
Pratik Jawanpuria
OT
1.2K
6
0
10 Nov 2020
A contribution to Optimal Transport on incomparable spaces
A contribution to Optimal Transport on incomparable spaces
Titouan Vayer
OT
397
25
0
09 Nov 2020
Averaging Atmospheric Gas Concentration Data using Wasserstein
  Barycenters
Averaging Atmospheric Gas Concentration Data using Wasserstein Barycenters
Mathieu Barré
Clément Giron
M. Mazzolini
Alexandre d’Aspremont
OT
88
5
0
06 Oct 2020
Estimating Barycenters of Measures in High Dimensions
Estimating Barycenters of Measures in High Dimensions
Samuel N. Cohen
Michael Arbel
M. Deisenroth
400
28
0
14 Jul 2020
Linear Time Sinkhorn Divergences using Positive Features
Linear Time Sinkhorn Divergences using Positive FeaturesNeural Information Processing Systems (NeurIPS), 2020
M. Scetbon
Marco Cuturi
301
27
0
12 Jun 2020
Partial Optimal Transport with Applications on Positive-Unlabeled
  Learning
Partial Optimal Transport with Applications on Positive-Unlabeled Learning
Laetitia Chapel
Mokhtar Z. Alaya
Gilles Gasso
OT
193
11
0
19 Feb 2020
Stochastic Approximation versus Sample Average Approximation for
  population Wasserstein barycenters
Stochastic Approximation versus Sample Average Approximation for population Wasserstein barycenters
D. Dvinskikh
422
11
0
21 Jan 2020
Gradient descent algorithms for Bures-Wasserstein barycenters
Gradient descent algorithms for Bures-Wasserstein barycentersAnnual Conference Computational Learning Theory (COLT), 2020
Sinho Chewi
Tyler Maunu
Philippe Rigollet
Austin J. Stromme
384
100
0
06 Jan 2020
A Test for Shared Patterns in Cross-modal Brain Activation Analysis
A Test for Shared Patterns in Cross-modal Brain Activation Analysis
E. Kalinina
Fabian Pedregosa
V. Iacovella
E. Olivetti
P. Avesani
73
0
0
08 Oct 2019
Multi-subject MEG/EEG source imaging with sparse multi-task regression
Multi-subject MEG/EEG source imaging with sparse multi-task regressionNeuroImage (NeuroImage), 2019
H. Janati
Yonas T. Tadesse
Bertrand Thirion
Marco Cuturi
Alexandre Gramfort
290
33
0
03 Oct 2019
Statistical data analysis in the Wasserstein space
Statistical data analysis in the Wasserstein spaceESAIM Proceedings and Surveys (ESAIM Proc. Surv.), 2019
Jérémie Bigot
378
37
0
19 Jul 2019
Adversarial Computation of Optimal Transport Maps
Adversarial Computation of Optimal Transport Maps
Jacob Leygonie
Jennifer She
Amjad Almahairi
Sai Rajeswar
Aaron Courville
GANOT
169
23
0
24 Jun 2019
Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm
Sinkhorn Barycenters with Free Support via Frank-Wolfe AlgorithmNeural Information Processing Systems (NeurIPS), 2019
Giulia Luise
Saverio Salzo
Massimiliano Pontil
C. Ciliberto
264
71
0
30 May 2019
Statistical inference for Bures-Wasserstein barycenters
Statistical inference for Bures-Wasserstein barycenters
Alexey Kroshnin
V. Spokoiny
A. Suvorikova
267
44
0
02 Jan 2019
Asymptotic distribution and convergence rates of stochastic algorithms
  for entropic optimal transportation between probability measures
Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures
Bernard Bercu
Jérémie Bigot
457
27
0
21 Dec 2018
Statistical Optimal Transport via Factored Couplings
Statistical Optimal Transport via Factored Couplings
Aden Forrow
Jan-Christian Hütter
Mor Nitzan
Philippe Rigollet
Geoffrey Schiebinger
Jonathan Niles-Weed
OT
372
77
0
19 Jun 2018
Wasserstein regularization for sparse multi-task regression
Wasserstein regularization for sparse multi-task regression
H. Janati
Marco Cuturi
Alexandre Gramfort
317
52
0
20 May 2018
Greedy stochastic algorithms for entropy-regularized optimal transport
  problems
Greedy stochastic algorithms for entropy-regularized optimal transport problems
Brahim Khalil Abid
Robert Mansel Gower
OT
115
27
0
04 Mar 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
1.6K
2,558
0
01 Mar 2018
Blind Source Separation with Optimal Transport Non-negative Matrix
  Factorization
Blind Source Separation with Optimal Transport Non-negative Matrix Factorization
Antoine Rolet
Vivien Seguy
Mathieu Blondel
H. Sawada
OT
118
15
0
15 Feb 2018
Central limit theorems for entropy-regularized optimal transport on
  finite spaces and statistical applications
Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications
Jérémie Bigot
Elsa Cazelles
Nicolas Papadakis
OT
312
43
0
24 Nov 2017
Smooth and Sparse Optimal Transport
Smooth and Sparse Optimal Transport
Mathieu Blondel
Vivien Seguy
Antoine Rolet
OT
335
198
0
17 Oct 2017
Semi-discrete optimal transport - the case p=1
Semi-discrete optimal transport - the case p=1
Valentin N. Hartmann
Dominic Schuhmacher
OT
158
9
0
23 Jun 2017
Near-linear time approximation algorithms for optimal transport via
  Sinkhorn iteration
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
Jason M. Altschuler
Jonathan Niles-Weed
Philippe Rigollet
OT
472
661
0
26 May 2017
PSF field learning based on Optimal Transport Distances
PSF field learning based on Optimal Transport Distances
Fred-Maurice Ngole-Mboula
Jean-Luc Starck
OT
132
4
0
17 Mar 2017
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal
  Transport Cost
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport CostJournal of Mathematical Imaging and Vision (JMIV), 2016
Nicolas Papadakis
Julien Rabin
OT
237
17
0
05 Oct 2016
Estimating individual treatment effect: generalization bounds and
  algorithms
Estimating individual treatment effect: generalization bounds and algorithms
Uri Shalit
Fredrik D. Johansson
David Sontag
CMLOOD
366
11
0
13 Jun 2016
Principal Geodesic Analysis for Probability Measures under the Optimal
  Transport Metric
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric
Vivien Seguy
Marco Cuturi
OT
243
76
0
26 Jun 2015
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