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Sherlock - A tool for verification of neural network feedback systems: demo abstract.

, , , , and . HSCC, page 262-263. ACM, (2019)

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Model-based falsification of an artificial pancreas control system., , , , , and . SIGBED Review, 14 (2): 24-33 (2017)Can Cut-Generating Functions Be Good and Efficient?, and . SIAM Journal on Optimization, 29 (2): 1190-1210 (2019)Collecting Statistics Over Runtime Executions., , and . Formal Methods in System Design, 27 (3): 253-274 (2005)Constructing invariants for hybrid systems., , and . Formal Methods in System Design, 32 (1): 25-55 (2008)Guest Editorial: Special issue on formal modeling and analysis of timed systems., , and . Real-Time Systems, 53 (3): 289-290 (2017)Editorial: Special Section VCPSS'09., , , and . ACM Trans. Embedded Comput. Syst., 11 (S2): 52:1-52:3 (2012)Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations., and . Robotics: Science and Systems, (2017)Combining Time and Frequency Domain Specifications for Periodic Signals., , and . RV, volume 7186 of Lecture Notes in Computer Science, page 294-309. Springer, (2011)S-TaLiRo: A Tool for Temporal Logic Falsification for Hybrid Systems., , , and . TACAS, volume 6605 of Lecture Notes in Computer Science, page 254-257. Springer, (2011)Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis., and . IJCAI, page 5708-5714. ijcai.org, (2019)