activity
20112023
most citedMachine learning and the physical sciences

2.5k citations · 3.5k across the 27 of their papers we have counts for

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Showing cs.ITShow all

5 papers · 1 filter

cs.IT2016★ 13 cited

Robust phase retrieval with the swept approximate message passing (prSAMP) algorithm

Boshra Rajaei, Sylvain Gigan, Florent Krzakala +1

In phase retrieval, the goal is to recover a complex signal from the magnitude of its linear measurements. While many well-known algorithms guarantee deterministic recovery of the…

cs.IT2016★ 6 cited

Fast phase retrieval for high dimensions: A block-based approach

Boshra Rajaei, Sylvain Gigan, Florent Krzakala +1

This paper addresses fundamental scaling issues that hinder phase retrieval (PR) in high dimensions. We show that, if the measurement matrix can be put into a generalized block-dia…

cs.IT2013★ 2 cited

Blind Denoising with Random Greedy Pursuits

Manuel Moussallam, Alexandre Gramfort, Laurent Daudet +1

Denoising methods require some assumptions about the signal of interest and the noise. While most denoising procedures require some knowledge about the noise level, which may be un…

cs.IT2013★ 98 cited

Convex Optimization Approaches for Blind Sensor Calibration using Sparsity

Cagdas Bilen, Gilles Puy, Rémi Gribonval +1

We investigate a compressive sensing framework in which the sensors introduce a distortion to the measurements in the form of unknown gains. We focus on blind calibration, using me…

cs.IT2013★ 1 cited

Source localization in reverberant rooms using sparse modeling and narrowband measurements

Gilles Chardon, Laurent Daudet

We study two cases of acoustic source localization in a reverberant room, from a number of point-wise narrowband measurements. In the first case, the room is perfectly known. We sh…