Generalization Bounds for Neural Belief Propagation Decoders-Reference-Cited by-同舟云学术

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Generalization Bounds for Neural Belief Propagation Decoders

Published:2023-06-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Information Theory (ISIT)
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Author:

Adiga Sudarshan¹,Xiao Xin¹,Tandon Ravi¹,Vasić Bane¹,Bose Tamal¹

Affiliation:

1. University of Arizona,Department of Electrical and Computer Engineering,Tucson,AZ,USA

Funder

Jet Propulsion Laboratory

California Institute of Technology

National Aeronautics and Space Administration

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10206429/10206441/10206901.pdf?arnumber=10206901

Reference44 articles.

1. Neural Decoding With Optimization of Node Activations

2. Nearly-tight vc-dimension and pseudodimension bounds for piecewise linear neural networks;bartlett;The Journal of Machine Learning Research,2019

3. Neural enhanced belief propagation on factor graphs;satorras;International Conference on Artificial Intelligence and Statistics,2021

4. Spectrally-normalized margin bounds for neural networks;bartlett;Advances in neural information processing systems,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalization Bounds for Neural Belief Propagation Decoders;IEEE Transactions on Information Theory;2024-06

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