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Pierre Baldi

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#machine learning Preprint Oct 2026

Layer-wise Input Recoverability in Deep Neural Networks

The inner workings of deep neural networks are still not well understood. The information bottleneck framework, which characterizes deep networks by the mutual information between their hidden representations and the network's input, has been used to identify compression of input information with respect to an input im...

M. Spiridonov, Alireza Rahmansetayesh, Pierre Baldi · 0 citations

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