Solving Verification Questions using Machine Learning

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• Mirco Giacobbe, University of Birmingham
• Friday 15 October 2021, 14:00-15:00
• LG23, SoCS and Zoom (see abstract for link).

If you have a question about this talk, please contact Anupam Das.

Formal verification’s aim is that of deriving rigorous proofs for the correctness of systems and, traditionally, has mainly been tackled using automated reasoning methods. In this talk, I will argue that formal verification can be takled using statistical methods too. I will discuss the liveness verification question which, intuitively, is the question of whether a system always responds. For dynamical systems, this relates to the stability question; for computer programs, it is the halting problem. I will present a novel approach where neural networks are used to learn formal witnesses (ranking and Lyapunov functions) of liveness from data while ensuring formal soundness of these witness. I will show how we apply this method to the stability analysis of dynamical systems and to the termination analysis of probabilistic programs.

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Topic: Theory Seminar – Mirco Giacobbe Time: Oct 15, 2021 01:45 PM London

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This talk is part of the Theoretical computer science seminar series.

This talk is included in these lists:

• Computer Science Departmental Series
• Computer Science Distinguished Seminars
• LG23, SoCS and Zoom (see abstract for link)
• Theoretical computer science seminar
• computer sience

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