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Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement
  of Factor Graphs

Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs

30 March 2022
Luca Schmid
Laurent Schmalen
ArXivPDFHTML

Papers citing "Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs"

6 / 6 papers shown
Title
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
Luca Schmid
Tomer Raviv
Nir Shlezinger
Laurent Schmalen
19
5
0
23 Jan 2024
Structural Optimization of Factor Graphs for Symbol Detection via
  Continuous Clustering and Machine Learning
Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning
Lukas Rapp
Luca Schmid
Andrej Rode
Laurent Schmalen
13
1
0
21 Nov 2022
What is the State of Neural Network Pruning?
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
178
1,018
0
06 Mar 2020
Neural Enhanced Belief Propagation on Factor Graphs
Neural Enhanced Belief Propagation on Factor Graphs
Victor Garcia Satorras
Max Welling
22
94
0
04 Mar 2020
Model Evaluation, Model Selection, and Algorithm Selection in Machine
  Learning
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
S. Raschka
75
749
0
13 Nov 2018
Learning to Decode Linear Codes Using Deep Learning
Learning to Decode Linear Codes Using Deep Learning
Eliya Nachmani
Yair Be’ery
D. Burshtein
81
455
0
16 Jul 2016
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