297 citations · 598 across the 12 of their papers we have counts for
5 papers · 1 filter
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines
Eric W. Tramel, Andre Manoel, Francesco Caltagirone +2
In this work, we consider compressed sensing reconstruction from measurements of -sparse structured signals which do not possess a writable correlation model. Assuming that…
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…
On Convergence of Approximate Message Passing
Francesco Caltagirone, Florent Krzakala, Lenka Zdeborová
Approximate message passing is an iterative algorithm for compressed sensing and related applications. A solid theory about the performance and convergence of the algorithm exists…
Properties of spatial coupling in compressed sensing
Francesco Caltagirone, Lenka Zdeborová
In this paper we address a series of open questions about the construction of spatially coupled measurement matrices in compressed sensing. For hardware implementations one is forc…
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…