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20242026
most citedPartial Information Decomposition for Data Interpretability and Feature Selection

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cs.LG2025

A Generalized Information Bottleneck Theory of Deep Learning

Charles Westphal, Stephen Hailes, Mirco Musolesi

The Information Bottleneck (IB) principle offers a compelling theoretical framework to understand how neural networks (NNs) learn. However, its practical utility has been constrain…