238 citations · 329 across the 7 of their papers we have counts for
7 papers
Phase diagram of matrix compressed sensing
Christophe Schülke, Philip Schniter, Lenka Zdeborová
In the problem of matrix compressed sensing we aim to recover a low-rank matrix from few of its element-wise linear projections. In this contribution we analyze the asymptotic perf…
Multiple phases in modularity-based community detection
Christophe Schülke, Federico Ricci-Tersenghi
Detecting communities in a network, based only on the adjacency matrix, is a problem of interest to several scientific disciplines. Recently, Zhang and Moore have introduced an alg…
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…
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…
Blind Sensor Calibration using Approximate Message Passing
Christophe Schülke, Francesco Caltagirone, Lenka Zdeborová
The ubiquity of approximately sparse data has led a variety of com- munities to great interest in compressed sensing algorithms. Although these are very successful and well underst…
Approximate message-passing with spatially coupled structured operators, with applications to compressed sensing and sparse superposition codes
Jean Barbier, Christophe Schülke, Florent Krzakala
We study the behavior of Approximate Message-Passing, a solver for linear sparse estimation problems such as compressed sensing, when the i.i.d matrices -for which it has been spec…
Blind Calibration in Compressed Sensing using Message Passing Algorithms
Christophe Schülke, Francesco Caltagirone, Florent Krzakala +1
Compressed sensing (CS) is a concept that allows to acquire compressible signals with a small number of measurements. As such it is very attractive for hardware implementations. Th…