Marabou 2.0: A Versatile Formal Analyzer of Neural Networks

Published 25 Jan 2024 in cs.AI, cs.LG, and cs.LO | (2401.14461v2)

Abstract: This paper serves as a comprehensive system description of version 2.0 of the Marabou framework for formal analysis of neural networks. We discuss the tool's architectural design and highlight the major features and components introduced since its initial release.

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References (3)

Graph Neural Networks support in ONNX (2022): https://github.com/microsoft/onnxruntime/issues/12103
Vanderbei, R.: Linear Programming: Foundations and Extensions. Journal of the Operational Research Society (1998)
Yerushalmi, R.: Enhancing Deep Reinforcement Learning with Executable Specifications. In: International Conference on Software Engineering. pp. 213–217. IEEE (2023)

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