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Requirements-Driven Test Generation for Autonomous Vehicles With Machine Learning Components., , , , and . IEEE Trans. Intell. Veh., 5 (2): 265-280 (2020)Numerically-Robust Inductive Proof Rules for Continuous Dynamical Systems., , , , , , and . CAV (2), volume 11562 of Lecture Notes in Computer Science, page 137-154. Springer, (2019)Model checking in-the-loop: Finding counterexamples by systematic simulation., , , , and . ACC, page 2734-2740. IEEE, (2008)Conformance Testing as Falsification for Cyber-Physical Systems., , , , , and . CoRR, (2014)Sim-ATAV: Simulation-Based Adversarial Testing Framework for Autonomous Vehicles., , , and . HSCC, page 283-284. ACM, (2018)Forward invariant cuts to simplify proofs of safety., , , , and . EMSOFT, page 227-236. IEEE, (2015)Locally optimal reach set over-approximation for nonlinear systems., , , and . EMSOFT, page 6:1-6:10. ACM, (2016)Interface-aware signal temporal logic., , , , and . HSCC, page 57-66. ACM, (2019)Verifying asymptotic bounds for discrete-time sliding mode systems with disturbance inputs., and . ACC, page 2852-2857. IEEE, (2004)Reasoning about safety of learning-enabled components in autonomous cyber-physical systems., , , and . DAC, page 30:1-30:6. ACM, (2018)