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End-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks
24 January 2019
B. Karanov
D. Lavery
P. Bayvel
Laurent Schmalen
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Papers citing
"End-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks"
10 / 10 papers shown
Title
Geometric Constellation Shaping for Fiber Optic Communication Systems via End-to-end Learning
R. Jones
T. Eriksson
M. Yankov
B. Puttnam
G. Rademacher
R. Luís
D. Zibar
34
23
0
01 Oct 2018
Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning
Shen Li
Christian Hager
Nil Garcia
H. Wymeersch
34
72
0
20 Apr 2018
End-to-end Deep Learning of Optical Fiber Communications
B. Karanov
M. Chagnon
F. Thouin
T. Eriksson
H. Bülow
D. Lavery
P. Bayvel
Laurent Schmalen
87
288
0
11 Apr 2018
Light Gated Recurrent Units for Speech Recognition
Mirco Ravanelli
Philemon Brakel
M. Omologo
Yoshua Bengio
50
317
0
26 Mar 2018
Neural Network Detection of Data Sequences in Communication Systems
Nariman Farsad
Andrea J. Goldsmith
95
288
0
31 Jan 2018
Deep Learning-Based Communication Over the Air
Sebastian Dörner
Sebastian Cammerer
J. Hoydis
S. Brink
67
719
0
11 Jul 2017
Recurrent Additive Networks
Kenton Lee
Omer Levy
Luke Zettlemoyer
GNN
AI4CE
57
38
0
21 May 2017
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
155
2,203
0
02 Feb 2017
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
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150,364
0
22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
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23,396
0
03 Jun 2014
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