139 citations · 410 across the 19 of their papers we have counts for
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Multi-Layer Generalized Linear Estimation
Andre Manoel, Florent Krzakala, Marc Mézard +1
We consider the problem of reconstructing a signal from multi-layered (possibly) non-linear measurements. Using non-rigorous but standard methods from statistical physics we presen…
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…
Sparse Estimation with the Swept Approximated Message-Passing Algorithm
Andre Manoel, Florent Krzakala, Eric W. Tramel +1
Approximate Message Passing (AMP) has been shown to be a superior method for inference problems, such as the recovery of signals from sets of noisy, lower-dimensionality measuremen…
Variational Free Energies for Compressed Sensing
Florent Krzakala, Andre Manoel, Eric W. Tramel +1
We consider the variational free energy approach for compressed sensing. We first show that the naïve mean field approach performs remarkably well when coupled with a noise learnin…