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"Towards rigorous understanding of neural networks via semantics-preserving ..."

Maximilian Schlüter et al. (2023)

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DOI: 10.1007/S10009-023-00700-7

access: open

type: Journal Article

metadata version: 2023-11-01

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  - https://dblp.org/rec/journals/sttt/SchluterNMS23
Maximilian Schlüter, Gerrit Nolte, Alnis Murtovi, Bernhard Steffen:
Towards rigorous understanding of neural networks via semantics-preserving transformations. Int. J. Softw. Tools Technol. Transf. 25(3): 301-327 (2023)

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