Marco Cuturi

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	All	Since 2016
Citations	6677	6025
h-index	31	29
i10-index	48	42

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Co-authors

Gabriel PeyréCNRS, DMA, Ecole Normale SupérieureVerified email at ens.fr
Jean-Philippe VertGoogle Brain / Mines ParisTechVerified email at mines-paristech.fr
Aude GenevayMITVerified email at mit.edu
Nicolas BonneelCNRS / LIRIS / Univ. LyonVerified email at liris.cnrs.fr
Justin SolomonMITVerified email at mit.edu
Alexandre GramfortINRIA, Univ. Paris-SaclayVerified email at inria.fr
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Olivier TeboulGoogle BrainVerified email at google.com
Fernando de GoesPixar Animation StudiosVerified email at pixar.com
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Tao DuPhD candidate in computer science, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Matthieu HeitzCNRS, Université Lyon 1Verified email at univ-lyon1.fr
David CoeurjollyCNRS, LIRIS UMR 5205, Université de LyonVerified email at liris.cnrs.fr
Hicham JanatiPhd student, Inria SaclayVerified email at inria.fr
Vivien SeguyPhD in Machine Learning, Kyoto UniversityVerified email at iip.ist.i.kyoto-u.ac.jp
Tam LePostdoctoral Researcher at RIKEN AIPVerified email at iip.ist.i.kyoto-u.ac.jp
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Tianyi LinUniversity of California, BerkeleyVerified email at berkeley.edu

Marco Cuturi

Google Brain / CREST-ENSAE.

Verified email at google.com - Homepage

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	1322	2013
Computational Optimal Transport G Peyré, M Cuturi Foundations and Trends in Machine Learning 11 (5-6), pp. 355-607, 2019	825	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	484	2015
Fast computation of Wasserstein barycenters M Cuturi, A Doucet Proceedings of the International Conference on Machine Learning 2014, JMLR …, 2014	434	2014
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	392	2015
Fast global alignment kernels M Cuturi International Conference in Machine Learning 2011, 2011	285	2011
Learning Generative Models with Sinkhorn Divergences A Genevay, G Peyré, M Cuturi Proceedings of the Twenty-First International Conference on Artifical …, 2017	275*	2017
Stochastic optimization for large-scale optimal transport G Aude, M Cuturi, G Peyré, F Bach arXiv preprint arXiv:1605.08527, 2016	234	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	233	2007
Soft-DTW: a differentiable loss function for time-series M Cuturi, M Blondel Proceedings of the 34th International Conference on Machine Learning, PMLR …, 2017	160	2017
On wasserstein two-sample testing and related families of nonparametric tests A Ramdas, NG Trillos, M Cuturi Entropy 19 (2), 47, 2017	133	2017
A smoothed dual approach for variational wasserstein problems M Cuturi, G Peyré SIAM J. Imaging Sciences 9 (1), 320–343, 2016	130	2016
Gromov-Wasserstein averaging of kernel and distance matrices G Peyré, M Cuturi, J Solomon International Conference on Machine Learning, 2664-2672, 2016	112	2016
Sliced wasserstein kernel for persistence diagrams M Carriere, M Cuturi, S Oudot International Conference on Machine Learning, 664-673, 2017	110	2017
Fast dictionary learning with a smoothed Wasserstein loss A Rolet, M Cuturi, G Peyré Artificial Intelligence and Statistics, 630-638, 2016	109	2016
Semigroup kernels on measures. M Cuturi, K Fukumizu, JP Vert, J Lafferty Journal of Machine Learning Research 6 (7), 2005	108	2005
Wasserstein Barycentric Coordinates: Histogram Regression Using Optimal Transport N Bonneel, G Peyré, M Cuturi ACM Transactions on Graphics 35 (4), 2016	95	2016
Wasserstein training of restricted Boltzmann machines G Montavon, KR Müller, M Cuturi Proceedings of the 30th International Conference on Neural Information …, 2016	93*	2016
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	90	2019
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	79	2018

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