Obsidian/Zettelkasten/Literature Notes/Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks.md

authors	citekey	publish_date	publisher	location	pages	last_import
Ehlers, Rüdiger D'Souza, Deepak Narayan Kumar, K.	ehlersFormalVerificationPieceWise2017	2017-01-01	Springer International Publishing	Cham	269-286	2025-05-12

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Published: 2017-01

DOI 10.1007/978-3-319-68167-2_19 ISBN 978-3-319-68167-2

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[!Abstract] We present an approach for the verification of feed-forward neural networks in which all nodes have a piece-wise linear activation function. Such networks are often used in deep learning and have been shown to be hard to verify for modern satisfiability modulo theory (SMT) and integer linear programming (ILP) solvers.>[!seealso] Related Papers

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!Paper Notes/Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks.md

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