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Found 3 papers, 1 papers with code
A Reverse Jensen Inequality Result with Application to Mutual Information Estimation
The Jensen inequality is a widely used tool in a multitude of fields, such as for example information theory and machine learning.
Reinforce Security: A Model-Free Approach Towards Secure Wiretap Coding
The use of deep learning-based techniques for approximating secure encoding functions has attracted considerable interest in wireless communications due to impressive results obtained for general coding and decoding tasks for wireless communication systems.
Deep Learning for Channel Coding via Neural Mutual Information Estimation
However, one of the drawbacks of current learning approaches is that a differentiable channel model is needed for the training of the underlying neural networks.
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