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Exploiting Partially Annotated Data in Temporal Relation Extraction.

, , , and . *SEM@NAACL-HLT, page 148-153. Association for Computational Linguistics, (2018)

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Fast and Guaranteed Safe Controller Synthesis for Nonlinear Vehicle Models., , and . CAV (1), volume 12224 of Lecture Notes in Computer Science, page 629-652. Springer, (2020)Multi-Agent Motion Planning From Signal Temporal Logic Specifications., , , and . IEEE Robotics Autom. Lett., 7 (2): 3451-3458 (2022)Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric., , , and . CoRR, (2021)Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric., , , and . L4DC, volume 144 of Proceedings of Machine Learning Research, page 728-741. PMLR, (2021)Learning Certified Control Using Contraction Metric., , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 1519-1539. PMLR, (2020)Learning Density Distribution of Reachable States for Autonomous Systems., , , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 124-136. PMLR, (2021)Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding., , , , and . NeurIPS, (2022)Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates., , , , and . ICLR, OpenReview.net, (2021)Density Constrained Reinforcement Learning., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8682-8692. PMLR, (2021)Formal methods for safe autonomy: Data-driven verification, synthesis, and applications. University of Illinois Urbana-Champaign, USA, (2019)