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Osiris: A Tool for Abstraction and Verification of Control Software with Lookup Tables.

, , , , , and . SCAV@CPSWeek, page 11-18. ACM, (2017)

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Automatic Testing and Falsification with Dynamically Constrained Reinforcement Learning., , , and . CoRR, (2019)Learning-Based Abstractions for Nonlinear Constraint Solving., , , and . IJCAI, page 592-599. ijcai.org, (2017)Specifying Safety of Autonomous Vehicles in Signal Temporal Logic.. IV, page 58-63. IEEE, (2019)Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression., , , , , , and . CoRR, (2021)Better AI through Logical Scaffolding., , , and . CoRR, (2019)A Preference Learning Approach to Develop Safe and Personalizable Autonomous Vehicles., , , , and . CoRR, (2023)Understanding and Shifting Preferences for Battery Electric Vehicles., , , , , , , , , and 5 other author(s). CoRR, (2022)Poster Abstract: Safety Guaranteed Preference Learning Approach for Autonomous Vehicles., , , , and . HSCC, page 24:1-24:2. ACM, (2023)Using theorem provers to guarantee closed-loop system properties., , , and . ACC, page 3573-3580. IEEE, (2012)Numerically-aided Deductive Safety Proof for a Powertrain Control System., , , , and . NSV, volume 317 of Electronic Notes in Theoretical Computer Science, page 19-25. Elsevier, (2014)