The Partial Information Decomposition of Generative Neural Network Models
Entropy, Volume 19, Issue 9, 2017.
In this work we study the distributed representations learnt by generative neural network models. In particular, we investigate the properties of redundant and synergistic information that groups of hidden neurons contain about the target variable. To this end, we use an emerging branch of information theory called partial information dec...More
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