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Fast and Accurate Optical Fiber Channel Modeling Using Generative
  Adversarial Network
v1v2 (latest)

Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network

28 February 2020
Hang Yang
Zekun Niu
S. Xiao
Jiafei Fang
Zhiyang Liu
David Fainsin
L. Yi
    GAN
ArXiv (abs)PDFHTML

Papers citing "Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network"

12 / 12 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
280
30,103
0
01 Mar 2022
Concept and Experimental Demonstration of Optical IM/DD End-to-End
  System Optimization using a Generative Model
Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model
B. Karanov
M. Chagnon
Vahid Aref
D. Lavery
P. Bayvel
Laurent Schmalen
31
40
0
11 Dec 2019
Approximating the Void: Learning Stochastic Channel Models from
  Observation with Variational Generative Adversarial Networks
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks
Tim O'Shea
Tamoghna Roy
Nathan E. West
GAN
47
129
0
16 May 2018
Exploring Speech Enhancement with Generative Adversarial Networks for
  Robust Speech Recognition
Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition
Chris Donahue
Yue Liu
Rohit Prabhavalkar
56
200
0
15 Nov 2017
Language Generation with Recurrent Generative Adversarial Networks
  without Pre-training
Language Generation with Recurrent Generative Adversarial Networks without Pre-training
Ofir Press
Amir Bar
Ben Bogin
Jonathan Berant
Lior Wolf
GAN
55
104
0
05 Jun 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational
  Learning
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava
Lazar Valkov
Chris Russell
Michael U. Gutmann
Charles Sutton
SyDaGAN
60
678
0
22 May 2017
Image De-raining Using a Conditional Generative Adversarial Network
Image De-raining Using a Conditional Generative Adversarial Network
He Zhang
Vishwanath A. Sindagi
Vishal M. Patel
GAN
167
1,019
0
21 Jan 2017
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
242
10,693
0
15 Sep 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
483
9,052
0
10 Jun 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
326
18,625
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GANSyDaAI4CE
258
10,419
0
06 Nov 2014
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