Generalizing expectation propagation with mixtures of exponential family distributions and an application to Bayesian logistic regression
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.01.065
Abstract: Abstract Expectation propagation (EP) is a widely used deterministic approximate inference algorithm in Bayesian machine learning. Traditional EP approximates an intractable posterior distribution through a set of local approximations which are updated iteratively. In this… read more here.
Keywords: expectation propagation; bayesian logistic; logistic regression;
Probabilistic inference of Bayesian neural networks with generalized expectation propagation
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.060
Abstract: Abstract Deep learning plays an important role in the field of machine learning. However, deterministic methods such as neural networks cannot capture the model uncertainty. Bayesian neural network (BNN) are recently under consideration since Bayesian… read more here.
Keywords: neural networks; approximate inference; method; expectation propagation ... See more keywords
Doped expectation propagation for low-complexity message passing based detection
Sign Up to like & getrecommendations! Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2016.3467
Abstract: Expectation propagation (EP) has been used for Gaussian approximation of discrete-valued symbols to achieve low-complexity message passing based detection. It has been shown that EP-based Gaussian approximation significantly outperforms the direct Gaussian approximation. A doped… read more here.
Keywords: message; approximation; complexity message; expectation propagation ... See more keywords
Soft-Input Soft-Output Detection via Expectation Propagation for Massive Spatial Modulation MIMO Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2020.3047081
Abstract: In this letter, we propose to utilize the expectation propagation (EP) framework for soft-input soft-output (SISO) signal detection in massive spatial modulation (SM) multiple-input multiple-output (MIMO) systems. By using a multivariate complex Gaussian approximation approach,… read more here.
Keywords: input; propagation; soft input; modulation ... See more keywords
An Efficient Symbol-by-Symbol Aided Expectation Propagation Detector for OTFS With Index Modulation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3192834
Abstract: In this letter, an efficient symbol-by-symbol aided expectation propagation (SS-EP) detector is designed for orthogonal time frequency space (OTFS) with index modulation (IM). Specifically, the null symbol of the OTFS-IM scheme is utilized to the… read more here.
Keywords: index; symbol; expectation propagation; detector ... See more keywords
Expectation Propagation as Turbo Equalizer in ISI Channels
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2016.2616141
Abstract: In probabilistic equalization of channels with inter-symbol interference, the BCJR algorithm and its approximations become intractable for high-order modulations, even for moderate channel dispersions. In this paper, we introduce a novel soft equalizer to approximate… read more here.
Keywords: expectation propagation; tex math; equalizer; inline formula ... See more keywords
Iterative Equalization With Decision Feedback Based on Expectation Propagation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2018.2843760
Abstract: This paper investigates the design and analysis of minimum mean square error (MMSE) turbo decision feedback equalization (DFE), with expectation propagation (EP), for single carrier modulations. Classical non iterative DFE structures have substantial advantages at… read more here.
Keywords: dfe; decision feedback; expectation propagation;
An Efficient Approximate Expectation Propagation Detector With Block-Diagonal Neumann-Series
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2022.3229690
Abstract: Expectation propagation (EP) achieves near-optimal performance for large-scale multiple-input multiple-output (L-MIMO) detection, however, at the expense of unaffordable matrix inversions. To tackle the issue, several low-complexity EP detectors have been proposed. However, they all fail… read more here.
Keywords: neumann series; diagonal neumann; block diagonal; expectation propagation ... See more keywords
Approximate Expectation Propagation Massive MIMO Detector With Weighted Neumann-Series
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2020.3017381
Abstract: Expectation propagation (EP) achieves near-optimal performance for massive multiple-input multiple-output (MIMO) detection, however, at the cost of multiple expensive matrix inversions. An EP with approximation (EPA) algorithm has been introduced to address this issue, which… read more here.
Keywords: expectation propagation; neumann series; weighted neumann; detector ... See more keywords
An Efficient Massive MIMO Detector Based on Approximate Expectation Propagation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2023.3255234
Abstract: Among expectation propagation (EP)-based massive multiple-input–multiple-output (MIMO) detection algorithms, EP with weighted Neumann-series approximation (EPA-wNSA) has the lowest computational complexity while requiring many iterations to guarantee the detection performance, which severely limits the throughput of… read more here.
Keywords: mimo; efficient massive; expectation propagation; detector ... See more keywords
MIMO Detection With Imperfect Channel State Information Using Expectation Propagation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2017.2683527
Abstract: Expectation propagation (EP) has been recently proposed as a low-complexity algorithm for symbol detection in massive MIMO systems, where its performance is evaluated on the premise that perfect channel state information (CSI) is available at… read more here.
Keywords: detector; channel; expectation propagation; state information ... See more keywords