655 citations · 2.7k across the 49 of their papers we have counts for
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Dynamical Functional Theory for Compressed Sensing
Burak Çakmak, Manfred Opper, Ole Winther +1
We introduce a theoretical approach for designing generalizations of the approximate message passing (AMP) algorithm for compressed sensing which are valid for large observation ma…
Self-Averaging Expectation Propagation
Burak Çakmak, Manfred Opper, Bernard H. Fleury +1
We investigate the problem of approximate Bayesian inference for a general class of observation models by means of the expectation propagation (EP) framework for large systems unde…
S-AMP for Non-linear Observation Models
Burak Çakmak, Ole Winther, Bernard H. Fleury
Recently we extended Approximate message passing (AMP) algorithm to be able to handle general invariant matrix ensembles. In this contribution we extend our S-AMP approach to non-l…
S-AMP: Approximate Message Passing for General Matrix Ensembles
Burak Çakmak, Ole Winther, Bernard H. Fleury
In this work we propose a novel iterative estimation algorithm for linear observation systems called S-AMP whose fixed points are the stationary points of the exact Gibbs free ener…