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On Network Science And Mutual Information For Explaining Deep Neural Networks

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IEEE ICASSP 2020 Virtual Conference May 2020

In this paper, we present a new approach to interpreting deep learning models. By coupling mutual information with network science, we explore how information flows through feedforward networks. We show that efficiently approximating mutual information al

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On Network Science And Mutual Information For Explaining Deep Neural Networks

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In this paper, we present a new approach to interpreting deep learning models. By coupling mutual information with network science, we explore how information flows through feedforward networks. We show that efficiently approximating mutual information al