Transfer entropy (conditional mutual information) estimators for the Julia language
Preliminary code for the paper "End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning"
Program estimating the mutual information between two variables using binning. Plots MI vs. number of samples for varying numbers of bins. Can compare to MINE (Mutual Information Neural Estimator), presented in the paper by Belghazi.
Implementation of an approach for wireless encoding via MI estimation
An Introduction to Deep Learning for the Physical Layer vs End-to-End Learning of Communications Systems Without a Channel Model
2020 IEEE ICC: Open Workshop On Machine Learning In Communications.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Code samples and datasets that are related to link quality estimation.
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Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
