98 citations · 338 across the 25 of their papers we have counts for
4 papers · 1 filter
Scampi: a robust approximate message-passing framework for compressive imaging
Jean Barbier, Eric W. Tramel, Florent Krzakala
Reconstruction of images from noisy linear measurements is a core problem in image processing, for which convex optimization methods based on total variation (TV) minimization have…
Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach
Boshra Rajaei, Eric W. Tramel, Sylvain Gigan +2
In this paper, the problem of compressive imaging is addressed using natural randomization by means of a multiply scattering medium. To utilize the medium in this way, its correspo…
Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy
Marylou Gabrié, Eric W. Tramel, Florent Krzakala
Restricted Boltzmann machines are undirected neural networks which have been shown to be effective in many applications, including serving as initializations for training deep mult…
Approximate Message Passing with Restricted Boltzmann Machine Priors
Eric W. Tramel, Angélique Drémeau, Florent Krzakala
Approximate Message Passing (AMP) has been shown to be an excellent statistical approach to signal inference and compressed sensing problem. The AMP framework provides modularity i…