Marco Cuturi

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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
Justin SolomonMITVerified email at mit.edu
Nicolas BonneelCNRS / LIRIS / Univ. LyonVerified email at liris.cnrs.fr
Alexandre GramfortINRIA, Univ. Paris-SaclayVerified email at inria.fr
Olivier TeboulGoogle BrainVerified email at google.com
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
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
Francis BachInria - Ecole Normale SupérieureVerified email at inria.fr
Hicham JanatiAssociate professor, Télécom ParisVerified email at telecom-paris.fr
Mathieu BlondelGoogleVerified email at google.com
Nhat HoUniversity of Texas, AustinVerified email at utexas.edu
Fernando de GoesPixar Animation StudiosVerified email at pixar.com
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Adrian ButscherAutodeskVerified email at autodesk.com
Tao DuPostdoctoral Associate, MIT CSAILVerified 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

Marco Cuturi

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machine learning optimal transport


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Sinkhorn Distances: Lightspeed Computation of Optimal Transport M Cuturi Proceedings of the 26th International Conference on Advances in Neural …, 2013	2209	2013
Computational Optimal Transport G Peyré, M Cuturi Foundations and Trends in Machine Learning 11 (5-6), pp. 355-607, 2019	1507	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	625	2015
Fast computation of Wasserstein barycenters M Cuturi, A Doucet Proceedings of the International Conference on Machine Learning 2014, JMLR …, 2014	572	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	525	2015
Learning Generative Models with Sinkhorn Divergences A Genevay, G Peyré, M Cuturi Proceedings of the Twenty-First International Conference on Artifical …, 2017	466*	2017
Fast global alignment kernels M Cuturi International Conference in Machine Learning 2011, 2011	354	2011
Stochastic optimization for large-scale optimal transport A Genevay, M Cuturi, G Peyré, F Bach arXiv preprint arXiv:1605.08527, 2016	352	2016
Soft-DTW: a differentiable loss function for time-series M Cuturi, M Blondel Proceedings of the 34th International Conference on Machine Learning, PMLR …, 2017	342	2017
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	270	2007
On wasserstein two-sample testing and related families of nonparametric tests A Ramdas, NG Trillos, M Cuturi Entropy 19 (2), 47, 2017	260	2017
Gromov-Wasserstein averaging of kernel and distance matrices G Peyré, M Cuturi, J Solomon International Conference on Machine Learning, 2664-2672, 2016	211	2016
Sliced Wasserstein kernel for persistence diagrams M Carriere, M Cuturi, S Oudot International conference on machine learning, 664-673, 2017	193	2017
A smoothed dual approach for variational wasserstein problems M Cuturi, G Peyré SIAM J. Imaging Sciences 9 (1), 320–343, 2016	169	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	168	2019
Fast dictionary learning with a smoothed Wasserstein loss A Rolet, M Cuturi, G Peyré Artificial Intelligence and Statistics, 630-638, 2016	131	2016
Wasserstein Barycentric Coordinates: Histogram Regression Using Optimal Transport N Bonneel, G Peyré, M Cuturi ACM Transactions on Graphics 35 (4), 2016	129	2016
Semigroup kernels on measures. M Cuturi, K Fukumizu, JP Vert Journal of Machine Learning Research 6 (7), 2005	109	2005
Wasserstein training of restricted Boltzmann machines G Montavon, KR Müller, M Cuturi Advances in Neural Information Processing Systems 29, 2016	106*	2016
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	104	2018

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