The inverse problem for neural networks

Marcelo Forets; Christian Schilling

doi:10.1007/978-3-031-46002-9_14

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arXiv · 2308.14093

The inverse problem for neural networks

Marcelo Forets·Christian Schilling

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Abstract

We study the problem of computing the preimage of a set under a neural network with piecewise-affine activation functions. We recall an old result that the preimage of a polyhedral set is again a union of polyhedral sets and can be effectively computed. We show several applications of computing the preimage for analysis and interpretability of neural networks.

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Marcelo Forets, Christian Schilling. 2023-08-27. The inverse problem for neural networks. https://doi.org/10.1007/978-3-031-46002-9_14

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