papers
Publications (8)
cs.LG2018
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines
Eric W. Tramel, Marylou Gabrié, Andre Manoel +2
stat.ML2018
Approximate message-passing for convex optimization with non-separable penalties
Andre Manoel, Florent Krzakala, Gaël Varoquaux +2
cs.IT2016
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines
Eric W. Tramel, Andre Manoel, Francesco Caltagirone +2
stat.ML2017
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing
Andre Manoel, Florent Krzakala, Eric W. Tramel +1
cs.IT2014
Sparse Estimation with the Swept Approximated Message-Passing Algorithm
Andre Manoel, Florent Krzakala, Eric W. Tramel +1
cs.IT2014
Variational Free Energies for Compressed Sensing
Florent Krzakala, Andre Manoel, Eric W. Tramel +1
cond-mat.dis-nn2013
Statistical mechanics of reputation systems in autonomous networks
Andre Manoel, Renato Vicente
stat.ML2014
Expectation Propagation
Jack Raymond, Andre Manoel, Manfred Opper