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NEURAL LATTICE DECODERS

Abstract: 

Lattice decoders constructed with neural networks are presented.
Firstly, we show how the fundamental parallelotope
is used as a compact set for the approximation by a neural lattice
decoder. Secondly, we introduce the notion of Voronoi reduced
lattice basis. As a consequence, a first optimal neural
lattice decoder is built from Boolean equations and the facets
of the Voronoi cell. This decoder needs no learning. Finally,
we present two neural decoders with learning. It is shown
that L1 regularization and a priori information about the lattice
structure lead to a simplification of the model.

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Paper Details

Authors:
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, and Loïc Brunel
Submitted On:
23 November 2018 - 10:45am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Corlay Vincent
Paper Code:
1533
Document Year:
2018
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talk_globalSIP.pdf

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[1] Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, and Loïc Brunel, "NEURAL LATTICE DECODERS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3743. Accessed: Nov. 18, 2019.
@article{3743-18,
url = {http://sigport.org/3743},
author = {Vincent Corlay; Joseph J. Boutros; Philippe Ciblat; and Loïc Brunel },
publisher = {IEEE SigPort},
title = {NEURAL LATTICE DECODERS},
year = {2018} }
TY - EJOUR
T1 - NEURAL LATTICE DECODERS
AU - Vincent Corlay; Joseph J. Boutros; Philippe Ciblat; and Loïc Brunel
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3743
ER -
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, and Loïc Brunel. (2018). NEURAL LATTICE DECODERS. IEEE SigPort. http://sigport.org/3743
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, and Loïc Brunel, 2018. NEURAL LATTICE DECODERS. Available at: http://sigport.org/3743.
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, and Loïc Brunel. (2018). "NEURAL LATTICE DECODERS." Web.
1. Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, and Loïc Brunel. NEURAL LATTICE DECODERS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3743