ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1911.03038
  4. Cited By
Turbo Autoencoder: Deep learning based channel codes for point-to-point
  communication channels

Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels

8 November 2019
Yihan Jiang
Hyeji Kim
Himanshu Asnani
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
ArXivPDFHTML

Papers citing "Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels"

11 / 11 papers shown
Title
Interpreting Training Aspects of Deep-Learned Error-Correcting Codes
Interpreting Training Aspects of Deep-Learned Error-Correcting Codes
Natasha Devroye
A. Mulgund
R. Shekhar
Gyorgy Turán
M. vZefran
Y. Zhou
26
3
0
07 May 2023
Optimizing Serially Concatenated Neural Codes with Classical Decoders
Optimizing Serially Concatenated Neural Codes with Classical Decoders
Jannis Clausius
Marvin Geiselhart
S. Brink
24
1
0
20 Dec 2022
Concatenated Classic and Neural (CCN) Codes: ConcatenatedAE
Concatenated Classic and Neural (CCN) Codes: ConcatenatedAE
Onur Gunlu
Rick Fritschek
Rafael F. Schaefer
19
3
0
04 Sep 2022
Hybrid Neural Coded Modulation: Design and Training Methods
Hybrid Neural Coded Modulation: Design and Training Methods
S. Lim
Jiyong Han
Wonjong Noh
Yujae Song
Sang-Woon Jeon
16
5
0
04 Feb 2022
ProductAE: Towards Training Larger Channel Codes based on Neural Product
  Codes
ProductAE: Towards Training Larger Channel Codes based on Neural Product Codes
Mohammad Vahid Jamali
Hamid Saber
Homayoon Hatami
J. Bae
8
29
0
09 Oct 2021
Cyclically Equivariant Neural Decoders for Cyclic Codes
Cyclically Equivariant Neural Decoders for Cyclic Codes
Xiangyu Chen
Min Ye
17
21
0
12 May 2021
End-to-End Learning for Uplink MU-SIMO Joint Transmitter and
  Non-Coherent Receiver Design in Fading Channels
End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels
Songyan Xue
Yi Ma
N. Yi
11
8
0
04 May 2021
Robust Adversarial Attacks Against DNN-Based Wireless Communication
  Systems
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems
Alireza Bahramali
Milad Nasr
Amir Houmansadr
Dennis Goeckel
Don Towsley
AAML
32
53
0
01 Feb 2021
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
Yihan Jiang
Hyeji Kim
Himanshu Asnani
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
27
79
0
30 Nov 2018
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
89
2,171
0
02 Feb 2017
Learning to Decode Linear Codes Using Deep Learning
Learning to Decode Linear Codes Using Deep Learning
Eliya Nachmani
Yair Be’ery
D. Burshtein
81
456
0
16 Jul 2016
1