activity
20122021
most citedPhase Recovery, MaxCut and Complex Semidefinite Programming

55 citations · 72 across the 5 of their papers we have counts for

collaborators

10 papers

math.OC2021★ 1 cited

Lecture notes on non-convex algorithms for low-rank matrix recovery

Irène Waldspurger

Low-rank matrix recovery problems are inverse problems which naturally arise in various fields like signal processing, imaging and machine learning. They are non-convex and NP-hard…

math.OC2018

Rank optimality for the Burer-Monteiro factorization

Irène Waldspurger, Alden Waters

When solving large scale semidefinite programs that admit a low-rank solution, an efficient heuristic is the Burer-Monteiro factorization: instead of optimizing over the full matri…

math.ST2016

Phase retrieval with random Gaussian sensing vectors by alternating projections

Irène Waldspurger

We consider a phase retrieval problem, where we want to reconstruct a -dimensional vector from its phaseless scalar products with sensing vectors, independently sampled from…

math.ST2016

Phase retrieval with random Gaussian sensing vectors by alternating projections

Irène Waldspurger

We consider a phase retrieval problem, where we want to reconstruct a -dimensional vector from its phaseless scalar products with sensing vectors. We assume the sensing vect…

math.FA2016

Exponential decay of scattering coefficients

Irène Waldspurger

We study an aspect of the following general question: which properties of a signal can be characterized by its scattering transform? We show that the energy contained in high order…

math.OC2015

Phase retrieval for wavelet transforms

Irène Waldspurger

We describe a new algorithm to solve a particular phase retrieval problem, that has wide applications in audio processing: the reconstruction of a function from its scalogram, that…

math.FA2014

Phase retrieval for the Cauchy wavelet transform

Stéphane Mallat, Irène Waldspurger

We consider the phase retrieval problem in which one tries to reconstruct a function from the modulus of its wavelet transform. We study the unicity and stability of the reconstruc…

math.NA2013

Wavelet methods for shape perception in electro-sensing

Habib Ammari, Stéphane Mallat, Irène Waldspurger +1

This paper aims at presenting a new approach to the electro-sensing problem using wavelets. It provides an efficient algorithm for recognizing the shape of a target from micro-elec…

math.OC2013★ 16 cited

Phase retrieval for imaging problems

Fajwel Fogel, Irène Waldspurger, Alexandre d'Aspremont

We study convex relaxation algorithms for phase retrieval on imaging problems. We show that structural assumptions on the signal and the observations, such as sparsity, smoothness…

math.OC2012★ 55 cited

Phase Recovery, MaxCut and Complex Semidefinite Programming

Irène Waldspurger, Alexandre d'Aspremont, Stéphane Mallat

Phase retrieval seeks to recover a signal x from the amplitude |Ax| of linear measurements. We cast the phase retrieval problem as a non-convex quadratic program over a complex pha…