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Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization., , , , , and . ICLR, OpenReview.net, (2021)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)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)Building a distributed robot garden., , , , , , , , , and 8 other author(s). IROS, page 1509-1516. IEEE, (2009)Forward invariant cuts to simplify proofs of safety., , , , and . EMSOFT, page 227-236. IEEE, (2015)Backpropagation for Parametric STL., , and . IV, page 185-192. IEEE, (2019)Back-Propagation Through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods., , and . WAFR, volume 17 of Springer Proceedings in Advanced Robotics, page 432-449. Springer, (2021)Incorporating Logic in Online Preference Learning for Safe Personalization of Autonomous Vehicles., , , , and . HSCC, page 5:1-5:11. ACM, (2024)