238 citations · 416 across the 9 of their papers we have counts for
11 papers
Joint Screening Tests for LASSO
C. Herzet, A. Drémeau
This paper focusses on "safe" screening techniques for the LASSO problem. Motivated by the need for low-complexity algorithms, we propose a new approach, dubbed "joint" screening t…
Phase retrieval with a multivariate Von Mises prior: from a Bayesian formulation to a lifting solution
Angelique Dremeau, Antoine Deleforge
In this paper, we investigate a new method for phase recovery when prior information on the missing phases is available. In particular, we propose to take into account this informa…
DOA estimation in structured phase-noisy environments: technical report
Angélique Drémeau, Cédric Herzet
In this paper we focus on the problem of estimating the directions of arrival (DOA) of a set of incident plane waves. Unlike many previous works, which assume that the received obs…
Random Projections through multiple optical scattering: Approximating kernels at the speed of light
Alaa Saade, Francesco Caltagirone, Igor Carron +4
Random projections have proven extremely useful in many signal processing and machine learning applications. However, they often require either to store a very large random matrix,…
An Efficient Algorithm for Video Super-Resolution Based On a Sequential Model
Patrick Héas, Angélique Drémeau, Cédric Herzet
In this work, we propose a novel procedure for video super-resolution, that is the recovery of a sequence of high-resolution images from its low-resolution counterpart. Our approac…
Reference-less measurement of the transmission matrix of a highly scattering material using a DMD and phase retrieval techniques
Angelique Dremeau, Antoine Liutkus, David Martina +5
This paper investigates experimental means of measuring the transmission matrix (TM) of a highly scattering medium, with the simplest optical setup. Spatial light modulation is per…
Approximate Message Passing with Restricted Boltzmann Machine Priors
Eric W. Tramel, Angélique Drémeau, Florent Krzakala
Approximate Message Passing (AMP) has been shown to be an excellent statistical approach to signal inference and compressed sensing problem. The AMP framework provides modularity i…
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14)
L. Jacques, C. De Vleeschouwer, Y. Boursier +64
The implicit objective of the biennial "international - Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST) is to foster collaboration between interna…
Phase recovery from a Bayesian point of view: the variational approach
Angélique Drémeau, Florent Krzakala
In this paper, we consider the phase recovery problem, where a complex signal vector has to be estimated from the knowledge of the modulus of its linear projections, from a naive v…
Statistical inference with probabilistic graphical models
Angélique Drémeau, Christophe Schülke, Yingying Xu +1
These are notes from the lecture of Devavrat Shah given at the autumn school "Statistical Physics, Optimization, Inference, and Message-Passing Algorithms", that took place in Les…
Bayesian Pursuit Algorithms
Cédric Herzet, Angélique Drémeau
This paper addresses the sparse representation (SR) problem within a general Bayesian framework. We show that the Lagrangian formulation of the standard SR problem, i.e., $\mathbf{…