353 citations · 1.8k across the 69 of their papers we have counts for
8 papers · 1 filter
Fast Optical System Identification by Numerical Interferometry
Sidharth Gupta, Rémi Gribonval, Laurent Daudet +1
We propose a numerical interferometry method for identification of optical multiply-scattering systems when only intensity can be measured. Our method simplifies the calibration of…
Learning with minibatch Wasserstein : asymptotic and gradient properties
Kilian Fatras, Younes Zine, Rémi Flamary +2
Optimal transport distances are powerful tools to compare probability distributions and have found many applications in machine learning. Yet their algorithmic complexity prevents…
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
Pierre Stock, Armand Joulin, Rémi Gribonval +2
In this paper, we address the problem of reducing the memory footprint of convolutional network architectures. We introduce a vector quantization method that aims at preserving the…
Don't take it lightly: Phasing optical random projections with unknown operators
Sidharth Gupta, Rémi Gribonval, Laurent Daudet +1
In this paper we tackle the problem of recovering the phase of complex linear measurements when only magnitude information is available and we control the input. We are motivated b…
Approximation spaces of deep neural networks
Rémi Gribonval, Gitta Kutyniok, Morten Nielsen +1
We study the expressivity of deep neural networks. Measuring a network's complexity by its number of connections or by its number of neurons, we consider the class of functions for…
When does OMP achieve exact recovery with continuous dictionaries?
Clément Elvira, Rémi Gribonval, Charles Soussen +1
This paper presents new theoretical results on sparse recovery guarantees for a greedy algorithm, Orthogonal Matching Pursuit (OMP), in the context of continuous parametric diction…
Equi-normalization of Neural Networks
Pierre Stock, Benjamin Graham, Rémi Gribonval +1
Modern neural networks are over-parametrized. In particular, each rectified linear hidden unit can be modified by a multiplicative factor by adjusting input and output weights, wit…
Jointly Low-Rank and Bisparse Recovery: Questions and Partial Answers
Simon Foucart, Rémi Gribonval, Laurent Jacques +1
We investigate the problem of recovering jointly -rank and -bisparse matrices from as few linear measurements as possible, considering arbitrary measurements as well as rank-…