@inproceedings{c2edaa0d0dc3430eb244909d383215ad,
title = "S-AMP for Non-linear Observation Models",
abstract = "Recently we presented the S-AMP approach, an extension of approximate message passing (AMP), to be able to handle general invariant matrix ensembles. In this contribution we extend S-AMP to non-linear observation models. We obtain generalized AMP (GAMP) as the special case when the measurement matrix has zero-mean iid Gaussian entries. Our derivation is based upon 1) deriving expectation-propagation-(EP)-like equations from the stationary-points equations of the Gibbs free energy under first- and second-moment constraints and 2) applying additive free convolution in free probability theory to get low-complexity updates for the second moment quantities.",
author = "Burak Cakmak and Ole Winther and Fleury, {Bernard Henri}",
year = "2015",
doi = "10.1109/ISIT.2015.7282968",
language = "English",
isbn = "978-1-4673-7704-1",
series = "I E E E International Symposium on Information Theory. Proceedings",
publisher = "IEEE Press",
pages = "2807 -- 2811",
booktitle = "IEEE International Symposium on Information Theory (ISIT), 2015",
note = "2015 IEEE International Symposium on Information Theory (ISIT), ISIT ; Conference date: 14-06-2015 Through 19-06-2015",
}