Timezone: »
Author Information
Marco Cuturi (Apple)
Marco Cuturi is a research scientist at Apple, 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 post-doctoral 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 part-time. He was at Google between 10/2018 and 1/2022. His main employment is now with Apple, since 1/2022, as a research scientist working on fundamental aspects of machine learning.
Kenji Fukumizu (Institute of Statistical Mathematics / Preferred Networks / RIKEN AIP)
More from the Same Authors
-
2021 : Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs »
Meyer Scetbon · Gabriel Peyré · Marco Cuturi -
2021 : Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs »
Meyer Scetbon · Gabriel Peyré · Marco Cuturi -
2023 Workshop: Optimal Transport and Machine Learning »
Anna Korba · Aram-Alexandre Pooladian · Charlotte Bunne · David Alvarez-Melis · Marco Cuturi · Ziv Goldfeld -
2022 Poster: Supervised Training of Conditional Monge Maps »
Charlotte Bunne · Andreas Krause · Marco Cuturi -
2022 Poster: Efficient and Modular Implicit Differentiation »
Mathieu Blondel · Quentin Berthet · Marco Cuturi · Roy Frostig · Stephan Hoyer · Felipe Llinares-Lopez · Fabian Pedregosa · Jean-Philippe Vert -
2022 Poster: Invariance Learning based on Label Hierarchy »
Shoji Toyota · Kenji Fukumizu -
2022 Poster: Unsupervised Learning of Equivariant Structure from Sequences »
Takeru Miyato · Masanori Koyama · Kenji Fukumizu -
2022 Poster: Low-rank Optimal Transport: Approximation, Statistics and Debiasing »
Meyer Scetbon · 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: Fixed-Support 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 · Jean-Philippe Vert · Francis Bach -
2020 Poster: Robust Persistence Diagrams using Reproducing Kernels »
Siddharth Vishwanath · Kenji Fukumizu · Satoshi Kuriki · Bharath Sriperumbudur -
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: Semi-flat minima and saddle points by embedding neural networks to overparameterization »
Kenji Fukumizu · Shoichiro Yamaguchi · Yoh-ichi Mototake · Mirai Tanaka -
2019 Poster: Differentiable Ranking and Sorting using Optimal Transport »
Marco Cuturi · Olivier Teboul · Jean-Philippe Vert -
2019 Spotlight: Differentiable Ranking and Sorting using Optimal Transport »
Marco Cuturi · Olivier Teboul · Jean-Philippe Vert -
2019 Poster: Tree-Sliced 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: Variational Learning on Aggregate Outputs with Gaussian Processes »
Ho Chung Law · Dino Sejdinovic · Ewan Cameron · Tim Lucas · Seth Flaxman · Katherine Battle · Kenji Fukumizu -
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 : Learning on topological and geometrical structures of data. »
Kenji Fukumizu -
2017 Poster: A Linear-Time Kernel Goodness-of-Fit Test »
Wittawat Jitkrittum · Wenkai Xu · Zoltan Szabo · Kenji Fukumizu · Arthur Gretton -
2017 Oral: A Linear-Time Kernel Goodness-of-Fit Test »
Wittawat Jitkrittum · Wenkai Xu · Zoltan Szabo · Kenji Fukumizu · Arthur Gretton -
2017 Poster: Trimmed Density Ratio Estimation »
Song Liu · Akiko Takeda · Taiji Suzuki · Kenji Fukumizu -
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 · Klaus-Robert Müller · Marco Cuturi -
2016 Poster: Convergence guarantees for kernel-based quadrature rules in misspecified settings »
Motonobu Kanagawa · Bharath Sriperumbudur · Kenji Fukumizu -
2016 Poster: Stochastic Optimization for Large-scale 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 -
2012 Poster: Learning from Distributions via Support Measure Machines »
Krikamol Muandet · Kenji Fukumizu · Francesco Dinuzzo · Bernhard Schölkopf -
2012 Poster: Gradient-based kernel method for feature extraction and variable selection »
Kenji Fukumizu · Chenlei Leng -
2012 Spotlight: Learning from Distributions via Support Measure Machines »
Krikamol Muandet · Kenji Fukumizu · Francesco Dinuzzo · Bernhard Schölkopf -
2012 Poster: Optimal kernel choice for large-scale two-sample tests »
Arthur Gretton · Bharath Sriperumbudur · Dino Sejdinovic · Heiko Strathmann · Sivaraman Balakrishnan · Massimiliano Pontil · Kenji Fukumizu -
2011 Poster: Kernel Bayes' Rule »
Kenji Fukumizu · Le Song · Arthur Gretton -
2011 Poster: Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint »
Bharath Sriperumbudur · Kenji Fukumizu · Gert Lanckriet -
2009 Poster: Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions »
Bharath Sriperumbudur · Kenji Fukumizu · Arthur Gretton · Gert Lanckriet · Bernhard Schölkopf -
2009 Oral: Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions »
Bharath Sriperumbudur · Kenji Fukumizu · Arthur Gretton · Gert Lanckriet · Bernhard Schölkopf -
2009 Poster: Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation »
Yusuke Watanabe · Kenji Fukumizu -
2009 Spotlight: Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation »
Yusuke Watanabe · Kenji Fukumizu -
2009 Poster: A Fast, Consistent Kernel Two-Sample Test »
Arthur Gretton · Kenji Fukumizu · Zaid Harchaoui · Bharath Sriperumbudur -
2009 Poster: White Functionals for Anomaly Detection in Dynamical Systems »
Marco Cuturi · Jean-Philippe Vert · Alexandre d'Aspremont -
2009 Spotlight: A Fast, Consistent Kernel Two-Sample Test »
Arthur Gretton · Kenji Fukumizu · Zaid Harchaoui · Bharath Sriperumbudur -
2008 Poster: Characteristic Kernels on Groups and Semigroups »
Kenji Fukumizu · Bharath Sriperumbudur · Arthur Gretton · Bernhard Schölkopf -
2008 Oral: Characteristic Kernels on Groups and Semigroups »
Kenji Fukumizu · Bharath Sriperumbudur · Arthur Gretton · Bernhard Schölkopf -
2007 Workshop: Representations and Inference on Probability Distributions »
Kenji Fukumizu · Arthur Gretton · Alexander Smola -
2007 Spotlight: Kernel Measures of Conditional Dependence »
Kenji Fukumizu · Arthur Gretton · Xiaohai Sun · Bernhard Schölkopf -
2007 Poster: Kernel Measures of Conditional Dependence »
Kenji Fukumizu · Arthur Gretton · Xiaohai Sun · Bernhard Schölkopf -
2007 Spotlight: A Kernel Statistical Test of Independence »
Arthur Gretton · Kenji Fukumizu · Choon Hui Teo · Le Song · Bernhard Schölkopf · Alexander Smola -
2007 Poster: A Kernel Statistical Test of Independence »
Arthur Gretton · Kenji Fukumizu · Choon Hui Teo · Le Song · Bernhard Schölkopf · Alexander Smola