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The State and Future of Genetic Improvement., , , , , , , , , and 2 other author(s). ACM SIGSOFT Softw. Eng. Notes, 44 (3): 25-29 (2019)Leveraging program invariants to promote population diversity in search-based automatic program repair., , , and . GI@ICSE, page 2-9. ACM, (2019)A self-supervised framework for learning whole slide representations., , , , , , and . CoRR, (2024)Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging., , and . CoRR, (2022)Code Models are Zero-shot Precondition Reasoners., , , , , , , and . CoRR, (2023)Adaptive Safe Behavior Generation for Heterogeneous Autonomous Vehicles Using Parametric-Control Barrier Functions (Student Abstract)., , and . AAAI, page 13009-13010. AAAI Press, (2022)FG-GMM-based Interactive Behavior Estimation for Autonomous Driving Vehicles in Ramp Merging Control *., , and . ICRA, page 1250-1255. IEEE, (2020)MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning., , , , , , and . J. Mach. Learn. Res., (2023)Provable Probabilistic Safety and Feasibility-Assured Control for Autonomous Vehicles using Exponential Control Barrier Functions., , , and . IV, page 952-957. IEEE, (2022)Adaptive Safe Merging Control for Heterogeneous Autonomous Vehicles using Parametric Control Barrier Functions., , and . IV, page 542-547. IEEE, (2022)