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Adversarial Neural Networks for Error Correcting Codes
Hung T. Nguyen
, Steven Bottone
, Kwang Taik Kim
, Mung Chiang
,
H. Vincent Poor
Electrical and Computer Engineering
Center for Statistics & Machine Learning
High Meadows Environmental Institute
Research output
:
Contribution to journal
›
Conference article
›
peer-review
6
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Scopus citations
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Keyphrases
Decoder
100%
Adversarial Neural Networks
100%
Error-correcting Codes
100%
Codeword
71%
Performance Improvement
28%
Machine Learning Models
28%
Machine Learning
14%
Maximum Likelihood
14%
Communication Systems
14%
Original Model
14%
Ultra-low
14%
Received Signal
14%
Decoding Algorithm
14%
Recent Approaches
14%
Maximum Likelihood Decoder
14%
Unknown Environment
14%
Zero-sum Game
14%
Ultra-high Performance
14%
Nash Equilibrium Point
14%
Generative Adversarial Networks
14%
Neural Decoder
14%
Channel Dynamics
14%
Ultra-reliability
14%
Decoding Model
14%
Noisy Words
14%
Low Latency
14%
Game-theoretic
14%
Strong Connection
14%
Discriminator Network
14%
Computer Science
Neural Network
100%
Discriminator
100%
Error Correcting Codes
100%
maximum-likelihood
66%
Machine Learning Model
66%
High Throughput
33%
Nash Equilibrium
33%
Decoding Algorithm
33%
Equilibrium Point
33%
Generative Adversarial Networks
33%
Fundamental Component
33%
Machine Learning
33%
Learning System
33%
Probability
33%