Titlebook: Verification, Model Checking, and Abstract Interpretation; 24th International C Cezara Dragoi,Michael Emmi,Jingbo Wang Conference proceedin

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,Bayesian Parameter Estimation with Guarantees via Interval Analysis and Simulation,e parameters . is a function, possibly involving additive noise parameters ., say .. This model covers the case of (noisy) . parameters estimation and the case when . is computed by a neural network. Applying a combination of methods based on uncertain probability (P-boxes), Interval Arithmetic (IA)

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,Compositional Verification of Stigmergic Collective Systems,nd patterns. Formal verification may provide strong guarantees about the emergence of these features, but may suffer from scalability issues caused by state space explosion. Compositional verification techniques, whereby the state space of a system is generated by combining (an abstraction of) those

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Maximal Robust Neural Network Specifications via Oracle-Guided Numerical Optimization,neighborhoods, but these cannot capture complex robustness specifications. We propose MaRVeL, a system for computing maximal non-uniform robust specifications that maximize a target norm. The main idea is to employ ., thereby leveraging the efficiency of a numerical optimizer as well as the accuracy

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