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20132025
most citedLearning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle

200 citations · 433 across the 16 of their papers we have counts for

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eess.SY2017★ 13 cited

A Generalized Framework for Kullback-Leibler Markov Aggregation

Rana Ali Amjad, Clemens Blöchl, Bernhard C. Geiger

This paper proposes an information-theoretic cost function for aggregating a Markov chain via a (possibly stochastic) mapping. The cost function is motivated by two objectives: 1)…