10 citations · 17 across the 11 of their papers we have counts for
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cs.IT2022★ 1 cited
Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning
Lukas Rapp, Luca Schmid, Andrej Rode +1
We propose a novel method to optimize the structure of factor graphs for graph-based inference. As an example inference task, we consider symbol detection on linear inter-symbol in…
cs.IT2022★ 10 cited
Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs
Luca Schmid, Laurent Schmalen
We consider the application of the factor graph framework for symbol detection on linear inter-symbol interference channels. Based on the Ungerboeck observation model, a detection…
cs.IT2022★ 4 cited
Neural Enhancement of Factor Graph-based Symbol Detection
Luca Schmid, Laurent Schmalen
We study the application of the factor graph framework for symbol detection on linear inter-symbol interference channels. Cyclic factor graphs have the potential to yield low-compl…