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Author Information
Marco Cuturi (Google Brain & CREST  ENSAE)
Marco Cuturi is a research scientist at Google AI, Brain team in Paris. He received his Ph.D. in 11/2005 from the Ecole des Mines de Paris in applied mathematics. Before that he graduated from National School of Statistics (ENSAE) with a master degree (MVA) from ENS Cachan. He worked as a postdoctoral researcher at the Institute of Statistical Mathematics, Tokyo, between 11/2005 and 3/2007 and then in the financial industry between 4/2007 and 9/2008. After working at the ORFE department of Princeton University as a lecturer between 2/2009 and 8/2010, he was at the Graduate School of Informatics of Kyoto University between 9/2010 and 9/2016 as a tenured associate professor. He joined ENSAE in 9/2016 as a professor, where he is now working parttime. His main employment is now with Google AI (Brain team in Paris) since 10/2018, as a research scientist working on fundamental aspects of machine learning.
Olivier Teboul (Google Brain)
JeanPhilippe Vert (Google)
Related Events (a corresponding poster, oral, or spotlight)

2019 Poster: Differentiable Ranking and Sorting using Optimal Transport »
Fri. Dec 13th 01:00  03:00 AM Room East Exhibition Hall B + C
More from the Same Authors

2021 : LinearTime Gromov Wasserstein Distances using Low Rank Couplings and Costs »
Meyer Scetbon · Gabriel Peyré · Marco Cuturi 
2021 : LinearTime Gromov Wasserstein Distances using Low Rank Couplings and Costs »
Meyer Scetbon · Gabriel Peyré · Marco Cuturi 
2021 Workshop: Optimal Transport and Machine Learning »
Jason Altschuler · Charlotte Bunne · Laetitia Chapel · Marco Cuturi · Rémi Flamary · Gabriel Peyré · Alexandra Suvorikova 
2020 Poster: Projection Robust Wasserstein Distance and Riemannian Optimization »
Tianyi Lin · Chenyou Fan · Nhat Ho · Marco Cuturi · Michael Jordan 
2020 Poster: FixedSupport Wasserstein Barycenters: Computational Hardness and Fast Algorithm »
Tianyi Lin · Nhat Ho · Xi Chen · Marco Cuturi · Michael Jordan 
2020 Spotlight: Projection Robust Wasserstein Distance and Riemannian Optimization »
Tianyi Lin · Chenyou Fan · Nhat Ho · Marco Cuturi · Michael Jordan 
2020 Poster: Learning with Differentiable Pertubed Optimizers »
Quentin Berthet · Mathieu Blondel · Olivier Teboul · Marco Cuturi · JeanPhilippe Vert · Francis Bach 
2020 Poster: Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form »
Hicham Janati · Boris Muzellec · Gabriel Peyré · Marco Cuturi 
2020 Poster: Linear Time Sinkhorn Divergences using Positive Features »
Meyer Scetbon · Marco Cuturi 
2020 Oral: Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form »
Hicham Janati · Boris Muzellec · Gabriel Peyré · Marco Cuturi 
2020 Session: Orals & Spotlights Track 21: Optimization »
Peter Richtarik · Marco Cuturi 
2019 Workshop: Optimal Transport for Machine Learning »
Marco Cuturi · Gabriel Peyré · Rémi Flamary · Alexandra Suvorikova 
2019 Poster: Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections »
Boris Muzellec · Marco Cuturi 
2019 Poster: TreeSliced Variants of Wasserstein Distances »
Tam Le · Makoto Yamada · Kenji Fukumizu · Marco Cuturi 
2018 Poster: Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport »
Theo Lacombe · Marco Cuturi · Steve OUDOT 
2018 Poster: Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions »
Boris Muzellec · Marco Cuturi 
2017 Workshop: Optimal Transport and Machine Learning »
Olivier Bousquet · Marco Cuturi · Gabriel Peyré · Fei Sha · Justin Solomon 
2017 Tutorial: A Primer on Optimal Transport »
Marco Cuturi · Justin Solomon 
2016 Workshop: Time Series Workshop »
Oren Anava · Marco Cuturi · Azadeh Khaleghi · Vitaly Kuznetsov · Sasha Rakhlin 
2016 Poster: Wasserstein Training of Restricted Boltzmann Machines »
Grégoire Montavon · KlausRobert Müller · Marco Cuturi 
2016 Poster: Stochastic Optimization for Largescale Optimal Transport »
Aude Genevay · Marco Cuturi · Gabriel Peyré · Francis Bach 
2015 Poster: Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric »
Vivien Seguy · Marco Cuturi 
2014 Workshop: Optimal Transport and Machine Learning »
Marco Cuturi · Gabriel Peyré · Justin Solomon · Alexander Barvinok · Piotr Indyk · Robert McCann · Adam Oberman 
2013 Poster: Sinkhorn Distances: Lightspeed Computation of Optimal Transport »
Marco Cuturi 
2013 Spotlight: Sinkhorn Distances: Lightspeed Computation of Optimal Transport »
Marco Cuturi 
2009 Poster: White Functionals for Anomaly Detection in Dynamical Systems »
Marco Cuturi · JeanPhilippe Vert · Alexandre d'Aspremont 
2006 Poster: Kernels on Structured Objects Through Nested Histograms »
Marco Cuturi · Kenji Fukumizu