7 citations · 14 across the 4 of their papers we have counts for
4 papers
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…
Distributed Iterative Processing for Interference Channels with Receiver Cooperation
Mihai-Alin Badiu, Carles Navarro Manchón, Vasile Bota +1
We propose a framework for the derivation and evaluation of distributed iterative algorithms for receiver cooperation in interference-limited wireless systems. Our approach views t…
Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation
Niels Lovmand Pedersen, Carles Navarro Manchón, Dmitriy Shutin +1
Existing methods for sparse channel estimation typically provide an estimate computed as the solution maximizing an objective function defined as the sum of the log-likelihood func…