Marco Cuturi

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Gabriel PeyréCNRS, DMA, Ecole Normale SupérieureVerified email at ens.fr
Jean-Philippe VertOwkin / PSL UniversityVerified email at owkin.com
Justin SolomonMITVerified email at mit.edu
Aude GenevayApplied Scientist, AmazonVerified email at amazon.com
Alexandre GramfortMetaVerified email at meta.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Tianyi LinMITVerified email at mit.edu
Olivier TeboulTherapanaceaVerified email at therapanacea.eu
Mathieu BlondelGoogleVerified email at google.com
Hicham JanatiAssociate professor, Télécom ParisVerified email at telecom-paris.fr
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Nicolas BonneelCNRS / LIRIS / Univ. LyonVerified email at liris.cnrs.fr
Fernando de GoesPixar Animation StudiosVerified email at pixar.com
Adrian ButscherAutodeskVerified email at autodesk.com
Nhat HoProfessor at University of Texas, AustinVerified email at utexas.edu
Meyer ScetbonResearcher, MicrosoftVerified email at microsoft.com
Boris MuzellecOwkinVerified email at owkin.com
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Tao DuInstitute for Interdisciplinary Information Sciences (IIIS), Tsinghua UniversityVerified email at tsinghua.edu.cn

Marco Cuturi

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machine learning optimal transport


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Sinkhorn Distances: Lightspeed Computation of Optimal Transport M Cuturi Proceedings of the 26th International Conference on Advances in Neural …, 2013	3628	2013
Computational Optimal Transport G Peyré, M Cuturi Foundations and Trends in Machine Learning 11 (5-6), pp. 355-607, 2019	2689	2019
Iterative Bregman projections for regularized transportation problems JD Benamou, G Carlier, M Cuturi, L Nenna, G Peyré SIAM Journal on Scientific Computing 37 (2), A1111-A1138, 2015	811	2015
Fast computation of Wasserstein barycenters M Cuturi, A Doucet Proceedings of the International Conference on Machine Learning 2014, JMLR …, 2014	757	2014
Learning Generative Models with Sinkhorn Divergences A Genevay, G Peyré, M Cuturi Proceedings of the Twenty-First International Conference on Artifical …, 2017	678*	2017
Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains J Solomon, F de Goes, G Peyré, M Cuturi, A Butscher, A Nguyen, T Du, ... ACM Transactions on Graphics (TOG) SIGGRAPH, 2015, 2015	670	2015
Soft-DTW: a differentiable loss function for time-series M Cuturi, M Blondel Proceedings of the 34th International Conference on Machine Learning, PMLR …, 2017	618	2017
Stochastic optimization for large-scale optimal transport A Genevay, M Cuturi, G Peyré, F Bach arXiv preprint arXiv:1605.08527, 2016	467	2016
Fast global alignment kernels M Cuturi International Conference in Machine Learning 2011, 2011	433	2011
On wasserstein two-sample testing and related families of nonparametric tests A Ramdas, N García Trillos, M Cuturi Entropy 19 (2), 47, 2017	420	2017
Gromov-wasserstein averaging of kernel and distance matrices G Peyré, M Cuturi, J Solomon International conference on machine learning, 2664-2672, 2016	324	2016
A kernel for time series based on global alignments M Cuturi, JP Vert, O Birkenes, T Matsui Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE …, 2007	304	2007
Sliced Wasserstein kernel for persistence diagrams M Carriere, M Cuturi, S Oudot International conference on machine learning, 664-673, 2017	264	2017
Sample complexity of sinkhorn divergences A Genevay, L Chizat, F Bach, M Cuturi, G Peyré The 22nd international conference on artificial intelligence and statistics …, 2019	255	2019
A smoothed dual approach for variational wasserstein problems M Cuturi, G Peyré SIAM J. Imaging Sciences 9 (1), 320–343, 2016	201	2016
Wasserstein Barycentric Coordinates: Histogram Regression Using Optimal Transport N Bonneel, G Peyré, M Cuturi ACM Transactions on Graphics 35 (4), 2016	177	2016
Learning with differentiable perturbed optimizers Q Berthet, M Blondel, O Teboul, M Cuturi, JP Vert, F Bach NeurIPS 2020, 2020	159	2020
Wasserstein dictionary learning: Optimal transport-based unsupervised nonlinear dictionary learning MA Schmitz, M Heitz, N Bonneel, F Ngole, D Coeurjolly, M Cuturi, G Peyré, ... SIAM Journal on Imaging Sciences 11 (1), 643-678, 2018	158	2018
Fast dictionary learning with a smoothed Wasserstein loss A Rolet, M Cuturi, G Peyré Artificial Intelligence and Statistics, 630-638, 2016	151	2016
Efficient and modular implicit differentiation M Blondel, Q Berthet, M Cuturi, R Frostig, S Hoyer, F Llinares-López, ... Advances in neural information processing systems 35, 5230-5242, 2022	147	2022

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