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Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
Communication systems to date primarily aim at reliably communicating bit sequences.
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views
This tutorial paper focuses on the variants of the bottleneck problem taking an information theoretic perspective and discusses practical methods to solve it, as well as its connection to coding and learning aspects.
An Information Theoretic Approach to Distributed Representation Learning
The problem of distributed representation learning is one in which multiple sources of information X1,..., XK are processed separately so as to extract useful information about some statistically correlated ground truth Y.
Distributed Variational Representation Learning
The problem of distributed representation learning is one in which multiple sources of information $X_1,\ldots, X_K$ are processed separately so as to learn as much information as possible about some ground truth $Y$.
