604 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- École Normale Supérieure - PSLFR41 papers
- Institut national de recherche en sciences et technologies du numériqueFR30 papers
- Département d'InformatiqueFR17 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Université Paris Sciences et LettresFR5 papers
- CentraleSupélecFR3 papers
- École Normale SupérieureBI3 papers
- Institut Polytechnique de ParisFR3 papers
- Laboratoire Traitement et Communication de l’InformationFR3 papers
- Massachusetts Institute of TechnologyUS3 papers
- CEA Paris-Saclay - Etablissement de SaclayFR2 papers
- Centre de Vision NumériqueFR2 papers
5 papers · 1 filter
Music Source Separation in the Waveform Domain
Alexandre Défossez, Nicolas Usunier, Léon Bottou +1
Source separation for music is the task of isolating contributions, or stems, from different instruments recorded individually and arranged together to form a song. Such components…
Ranking and synchronization from pairwise measurements via SVD
Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi
Given a measurement graph and an unknown signal , we investigate algorithms for recovering from pairwise measurements of the form ; $\…
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport
François-Pierre Paty, Alexandre d'Aspremont, Marco Cuturi
Estimating Wasserstein distances between two high-dimensional densities suffers from the curse of dimensionality: one needs an exponential (wrt dimension) number of samples to ensu…
Partially Encrypted Machine Learning using Functional Encryption
Theo Ryffel, Edouard Dufour-Sans, Romain Gay +2
Machine learning on encrypted data has received a lot of attention thanks to recent breakthroughs in homomorphic encryption and secure multi-party computation. It allows outsourcin…
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions
Dmitrii Ostrovskii, Alessandro Rudi
In this work we provide an estimator for the covariance matrix of a heavy-tailed multivariate distributionWe prove that the proposed estimator admits an \tex…