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Fast Computation of Wasserstein Barycenters
v1v2v3 (latest)

Fast Computation of Wasserstein Barycenters

16 October 2013
Marco Cuturi
Arnaud Doucet
    OT
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Papers citing "Fast Computation of Wasserstein Barycenters"

50 / 358 papers shown
Title
Computing Wasserstein Barycenters through Gradient Flows
Computing Wasserstein Barycenters through Gradient Flows
Eduardo Fernandes Montesuma
Yassir Bendou
Mike Gartrell
12
0
0
06 Oct 2025
Differentially Private Wasserstein Barycenters
Differentially Private Wasserstein Barycenters
Anming Gu
Sasidhar Kunapuli
Mark Bun
Edward Chien
Kristjan Greenewald
OT
50
0
0
03 Oct 2025
A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems
Thibaut Germain
Rémi Flamary
Vladimir Kostic
Karim Lounici
4
0
0
29 Sep 2025
Dense associative memory on the Bures-Wasserstein space
Dense associative memory on the Bures-Wasserstein space
Chandan Tankala
Krishnakumar Balasubramanian
4
0
0
27 Sep 2025
Robust Barycenters of Persistence Diagrams
Robust Barycenters of Persistence Diagrams
Keanu Sisouk
Eloi Tanguy
J. Delon
Julien Tierny
27
0
0
18 Sep 2025
Gromov-Wasserstein and optimal transport: from assignment problems to probabilistic numeric
Gromov-Wasserstein and optimal transport: from assignment problems to probabilistic numeric
Iman Seyedi
Antonio Candelieri
Enza Messina
Francesco Archetti
OT
40
0
0
04 Sep 2025
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
Samuel Boïté
Eloi Tanguy
J. Delon
A. Desolneux
Rémi Flamary
OT
104
1
0
02 Sep 2025
Federated Calculation of the Free-Support Transportation Barycenter by Single-Loop Dual Decomposition
Federated Calculation of the Free-Support Transportation Barycenter by Single-Loop Dual Decomposition
Zhengqi Lin
Andrzej Ruszczynski
46
1
0
25 Jul 2025
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
Samuel Howard
Peter Potaptchik
George Deligiannidis
OT
108
0
0
20 Jun 2025
PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
Xuqian Xue
Yiming Lei
Qi Cai
Hongming Shan
Junping Zhang
106
0
0
14 Jun 2025
Locality Preserving Markovian Transition for Instance Retrieval
Jifei Luo
Wenzheng Wu
Hantao Yao
Lu Yu
Changsheng Xu
143
0
0
05 Jun 2025
Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning
Optimal Transport-based Domain Alignment as a Preprocessing Step for Federated Learning
Luiz Manella Pereira
M. Amini
FedML
113
0
0
04 Jun 2025
Explaining Large Language Models with gSMILE
Explaining Large Language Models with gSMILE
Zeinab Dehghani
Koorosh Aslansefat
Adil Khan
Mohammed Naveed Akram
Y. Papadopoulos
MILMLRM
348
1
0
27 May 2025
Liouville PDE-based sliced-Wasserstein flow for fair regression
Liouville PDE-based sliced-Wasserstein flow for fair regression
Pilhwa Lee
Jayshawn Cooper
108
0
0
22 May 2025
Wasserstein Barycenter Gaussian Process based Bayesian Optimization
Wasserstein Barycenter Gaussian Process based Bayesian Optimization
Antonio Candelieri
Andrea Ponti
Francesco Archetti
103
1
0
18 May 2025
On the contraction properties of Sinkhorn semigroups
O. Deniz Akyildiz
Pierre Del Moral
Joaquín Míguez
138
3
0
12 Mar 2025
Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects
Learning Exposure Mapping Functions for Inferring Heterogeneous Peer Effects
Shishir Adhikari
Sourav Medya
Elena Zheleva
CML
92
1
0
03 Mar 2025
Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging
Ron Shapira Weber
Oren Freifeld
AI4TS
129
2
0
10 Feb 2025
Deep Generalized Schr\"odinger Bridges: From Image Generation to Solving Mean-Field Games
Deep Generalized Schr\"odinger Bridges: From Image Generation to Solving Mean-Field Games
Guan-Horng Liu
Tianrong Chen
Evangelos A. Theodorou
100
0
0
31 Dec 2024
Mapping the Mind of an Instruction-based Image Editing using SMILE
Mapping the Mind of an Instruction-based Image Editing using SMILE
Zeinab Dehghani
Koorosh Aslansefat
Adil Khan
Adín Ramirez Rivera
Franky George
Muhammad Khalid
DiffM
240
3
0
20 Dec 2024
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms
Etienne Lasalle
Rémi Vaudaine
Titouan Vayer
Pierre Borgnat
Rémi Gribonval
Paulo Gonçalves
Màrton Karsai
150
0
0
18 Dec 2024
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal
  Transport
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport
Michael Wilson
Tom Needham
A. Srivastava
OT
124
0
0
15 Nov 2024
WassFFed: Wasserstein Fair Federated Learning
WassFFed: Wasserstein Fair Federated Learning
Zhongxuan Han
Lulu Zhang
C. L. Philip Chen
Xiaolin Zheng
Fei Zheng
Yuyuan Li
Yuxiang Cai
FedML
105
0
0
11 Nov 2024
Relax and Merge: A Simple Yet Effective Framework for Solving Fair
  $k$-Means and $k$-sparse Wasserstein Barycenter Problems
Relax and Merge: A Simple Yet Effective Framework for Solving Fair kkk-Means and kkk-sparse Wasserstein Barycenter Problems
Shihong Song
Guanlin Mo
Qingyuan Yang
Hu Ding
189
0
0
02 Nov 2024
Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space
Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space
Jacob Feitelberg
Kyuseong Choi
Anish Agarwal
Raaz Dwivedi
OffRL
134
1
0
17 Oct 2024
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based
  Method on Gaussians
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians
Ngoc-Hai Nguyen
Dung D. Le
Hoang Nguyen
Tung Pham
Nhat Ho
OT
135
1
0
10 Oct 2024
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
Siqi Zeng
Sixian Du
M. Yamada
Han Zhao
OT
210
1
0
04 Oct 2024
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
Milena Gazdieva
Jaemoo Choi
Alexander Kolesov
Jaewoong Choi
Petr Mokrov
Alexander Korotin
OT
243
5
0
04 Oct 2024
Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting
Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting
Sergei Kholkin
Grigoriy Ksenofontov
David Li
Nikita Kornilov
Nikita Gushchin
A. Suvorikova
Alexey Kroshnin
Evgeny Burnaev
Alexander Korotin
166
3
0
03 Oct 2024
How should we aggregate ratings? Accounting for personal rating scales
  via Wasserstein barycenters
How should we aggregate ratings? Accounting for personal rating scales via Wasserstein barycenters
Daniel Raban
92
0
0
01 Oct 2024
A Riemannian Approach to Ground Metric Learning for Optimal Transport
A Riemannian Approach to Ground Metric Learning for Optimal Transport
Pratik Jawanpuria
Dai Shi
Bamdev Mishra
Junbin Gao
OT
81
0
0
16 Sep 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters
Hao Liu
Junze Tony Ye
Ye
Jose H. Blanchet
DiffMFedML
205
1
0
28 Jun 2024
Dataset Condensation with Latent Quantile Matching
Dataset Condensation with Latent Quantile Matching
Wei Wei
Tom De Schepper
Kevin Mets
DD
116
5
0
14 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation
SAVA: Scalable Learning-Agnostic Data Valuation
Samuel Kessler
Tam Le
Vu Nguyen
TDI
305
1
0
03 Jun 2024
On the Convergence of the Sinkhorn-Knopp Algorithm with Sparse Cost
  Matrices
On the Convergence of the Sinkhorn-Knopp Algorithm with Sparse Cost Matrices
Jose Rafael Espinosa Mena
147
0
0
30 May 2024
Differentially Private Post-Processing for Fair Regression
Differentially Private Post-Processing for Fair Regression
Ruicheng Xian
Qiaobo Li
Gautam Kamath
Han Zhao
157
4
0
07 May 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
175
4
0
06 May 2024
Approximate Algorithms For $k$-Sparse Wasserstein Barycenter With
  Outliers
Approximate Algorithms For kkk-Sparse Wasserstein Barycenter With Outliers
Qingyuan Yang
Hu Ding
127
3
0
20 Apr 2024
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian
  Mixture Models and Optimal Transport
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal Transport
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OT
127
5
0
16 Apr 2024
Wasserstein Wormhole: Scalable Optimal Transport Distance with
  Transformers
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers
Doron Haviv
Russell Z. Kunes
Thomas Dougherty
Cassandra Burdziak
T. Nawy
Anna Gilbert
Dana Peér
OT
237
9
0
15 Apr 2024
PLOT-TAL: Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization
PLOT-TAL: Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization
Edward Fish
Jon Weinbren
137
1
0
27 Mar 2024
Optimal Transport on the Lie Group of Roto-translations
Optimal Transport on the Lie Group of Roto-translations
Daan Bon
Gautam Pai
Gijs Bellaard
Olga Mula
R. Duits
OT
120
1
0
23 Feb 2024
Estimating Barycenters of Distributions with Neural Optimal Transport
Estimating Barycenters of Distributions with Neural Optimal Transport
Alexander Kolesov
Petr Mokrov
Igor Udovichenko
Milena Gazdieva
G. Pammer
Evgeny Burnaev
Alexander Korotin
OT
193
10
0
06 Feb 2024
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
D. M. Nguyen
Nina Lukashina
Tai Nguyen
An T. Le
TrungTin Nguyen
Nhat Ho
Jan Peters
Daniel Sonntag
Viktor Zaverkin
Mathias Niepert
128
6
0
03 Feb 2024
An Optimal Transport Approach for Computing Adversarial Training Lower
  Bounds in Multiclass Classification
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
Nicolas García Trillos
Matt Jacobs
Jakwang Kim
Matthew Werenski
AAML
95
4
0
17 Jan 2024
Treatment-Aware Hyperbolic Representation Learning for Causal Effect
  Estimation with Social Networks
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
Ziqiang Cui
Xing Tang
Yang Qiao
Bowei He
Liang Chen
Xiuqiang He
Chen Ma
CML
137
0
0
12 Jan 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational
  Inference Framework
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework
Fangyikang Wang
Huminhao Zhu
Chao Zhang
Han Zhao
Hui Qian
113
9
0
27 Dec 2023
Estimation of individual causal effects in network setup for multiple
  treatments
Estimation of individual causal effects in network setup for multiple treatments
Abhinav Thorat
Ravi Kolla
N. Pedanekar
N. Onoe
CML
54
3
0
18 Dec 2023
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Yiheng Jiang
Sinho Chewi
Aram-Alexandre Pooladian
289
13
0
05 Dec 2023
Dataset Distillation via the Wasserstein Metric
Dataset Distillation via the Wasserstein Metric
Haoyang Liu
Yijiang Li
Tiancheng Xing
Peiran Wang
Vibhu Dalal
Luwei Li
Jingrui He
Haohan Wang
DD
209
17
0
30 Nov 2023
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