Publications (32)
Wasserstein Training of Boltzmann Machines
Grégoire Montavon, Klaus-Robert Müller, Marco Cuturi
A kernel for time series based on global alignments
Marco Cuturi, Jean-Philippe Vert, Oystein Birkenes +1
A Smoothed Dual Approach for Variational Wasserstein Problems
Marco Cuturi, Gabriel Peyré
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric
Vivien Seguy, Marco Cuturi
A covariance kernel for proteins
Marco Cuturi, Jean-Philippe Vert
Autoregressive Kernels For Time Series
Marco Cuturi, Arnaud Doucet
Kernels for Measures Defined on the Gram Matrix of their Support
Marco Cuturi
Log-PCA versus Geodesic PCA of histograms in the Wasserstein space
Elsa Cazelles, Vivien Seguy, Jérémie Bigot +2
Fast Optimal Transport Averaging of Neuroimaging Data
Alexandre Gramfort, Gabriel Peyré, Marco Cuturi
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi, Mathieu Blondel
Positivity and Transportation
Marco Cuturi
Stochastic Deep Networks
Gwendoline de Bie, Gabriel Peyré, Marco Cuturi
On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests
Aaditya Ramdas, Nicolas Garcia, Marco Cuturi
Unsupervised Hyperalignment for Multilingual Word Embeddings
Jean Alaux, Edouard Grave, Marco Cuturi +1
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
Sliced Wasserstein Kernel for Persistence Diagrams
Mathieu Carrière, Marco Cuturi, Steve Oudot
Wasserstein Discriminant Analysis
Rémi Flamary, Marco Cuturi, Nicolas Courty +1
Group level MEG/EEG source imaging via optimal transport: minimum Wasserstein estimates
Hicham Janati, Thomas Bazeille, Bertrand Thirion +2
Mean-Reverting Portfolios: Tradeoffs Between Sparsity and Volatility
Marco Cuturi, Alexandre d'Aspremont
Deep multi-class learning from label proportions
Gabriel Dulac-Arnold, Neil Zeghidour, Marco Cuturi +2
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning
Morgan A. Schmitz, Matthieu Heitz, Nicolas Bonneel +5
Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport
Théo Lacombe, Marco Cuturi, Steve Oudot
Fast Computation of Wasserstein Barycenters
Marco Cuturi, Arnaud Doucet
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions
Boris Muzellec, Marco Cuturi
GAN and VAE from an Optimal Transport Point of View
Aude Genevay, Gabriel Peyré, Marco Cuturi
Learning Generative Models with Sinkhorn Divergences
Aude Genevay, Gabriel Peyré, Marco Cuturi
The generating function of the polytope of transport matrices $U(r,c)$ as a positive semidefinite kernel of the marginals $r$ and $c$
Marco Cuturi
Semi-dual Regularized Optimal Transport
Marco Cuturi, Gabriel Peyré
Multiresolution Kernels
Marco Cuturi, Kenji Fukumizu
Ground Metric Learning
Marco Cuturi, David Avis
Wasserstein regularization for sparse multi-task regression
Hicham Janati, Marco Cuturi, Alexandre Gramfort
Positive Definite Kernels in Machine Learning
Marco Cuturi