Meyer Scetbon | DeepAI

DeepAI AI Chat

Featured Co-authors

Marco Cuturi
70 publications
Michael Elad
70 publications
Peyman Milanfar
48 publications
Gabriel Peyré
48 publications
Zaid Harchaoui
47 publications
Yaniv Romano
35 publications
Jamal Atif
28 publications
Elvis Dohmatob
24 publications
Yann Chevaleyre
23 publications
Rafael Pinot
20 publications
Laurent Meunier
17 publications

∙ 08/01/2023

Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms

In this paper, we investigate the impact of test-time adversarial attack...

0 Elvis Dohmatob, et al. ∙

∙ 05/31/2023

Unbalanced Low-rank Optimal Transport Solvers

The relevance of optimal transport methods to machine learning has long ...

0 Meyer Scetbon, et al. ∙

∙ 04/26/2023

Polynomial-Time Solvers for the Discrete ∞-Optimal Transport Problems

In this note, we propose polynomial-time algorithms solving the Monge an...

0 Meyer Scetbon, et al. ∙

∙ 01/31/2023

Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond

In this work we study the robustness to adversarial attacks, of early-st...

0 Meyer Scetbon, et al. ∙

∙ 05/24/2022

Low-rank Optimal Transport: Approximation, Statistics and Debiasing

The matching principles behind optimal transport (OT) play an increasing...

0 Meyer Scetbon, et al. ∙

∙ 12/31/2021

Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates

Triangular flows, also known as Knöthe-Rosenblatt measure couplings, com...

17 Nicholas J. Irons, et al. ∙

∙ 10/28/2021

An ℓ^p-based Kernel Conditional Independence Test

We propose a new computationally efficient test for conditional independ...

12 Meyer Scetbon, et al. ∙

∙ 06/02/2021

Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs

The ability to compare and align related datasets living in heterogeneou...

11 Meyer Scetbon, et al. ∙

∙ 03/08/2021

Low-Rank Sinkhorn Factorization

Several recent applications of optimal transport (OT) theory to machine ...

55 Meyer Scetbon, et al. ∙

∙ 02/13/2021

Mixed Nash Equilibria in the Adversarial Examples Game

This paper tackles the problem of adversarial examples from a game theor...

11 Laurent Meunier, et al. ∙

∙ 06/12/2020

Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation

We introduce an extension of the optimal transportation (OT) problem whe...

0 Meyer Scetbon, et al. ∙

∙ 06/12/2020

Linear Time Sinkhorn Divergences using Positive Features

Although Sinkhorn divergences are now routinely used in data sciences to...

0 Meyer Scetbon, et al. ∙

∙ 03/28/2020

Harmonic Decompositions of Convolutional Networks

We consider convolutional networks from a reproducing kernel Hilbert spa...

0 Meyer Scetbon, et al. ∙

∙ 02/28/2020

Risk Bounds for Multi-layer Perceptrons through Spectra of Integral Operators

We characterize the behavior of integral operators associated with multi...

0 Meyer Scetbon, et al. ∙

∙ 09/28/2019

Deep K-SVD Denoising

This work considers noise removal from images, focusing on the well know...

46 Meyer Scetbon, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world