Neural Capacity Estimators: How Reliable Are They?
Author:
Affiliation:
1. Ryerson University
2. National Yang-Ming Chiao-Tung University (NYCU)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837954/9838246/09838516.pdf?arnumber=9838516
Reference24 articles.
1. Deep Learning for Channel Coding via Neural Mutual Information Estimation
2. Neural Mutual Information Estimation for Channel Coding: State-of-the-Art Estimators, Analysis, and Performance Comparison
3. Capacity-Driven Autoencoders for Communications
4. Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems
5. Representation learning with contrastive predictive coding;oord,2018
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1. Cooperative Channel Capacity Learning;IEEE Communications Letters;2023-08
2. Rate Distortion via Constrained Estimated Mutual Information Minimization;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25
3. Learning Channel Capacity with Neural Mutual Information Estimator Based on Message Importance Measure;IEEE Transactions on Communications;2023
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