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Likelihood-Based Diverse Sampling for Trajectory Forecasting., , , and . ICCV, page 13259-13268. IEEE, (2021)Program Synthesis Guided Reinforcement Learning for Partially Observed Environments., , , , , and . NeurIPS, page 29669-29683. (2021)Synthesis of Recursive ADT Transformations from Reusable Templates., , , , and . TACAS (1), volume 10205 of Lecture Notes in Computer Science, page 247-263. (2017)Interpretable, Verifiable, and Robust Reinforcement Learning via Program Synthesis., , and . xxAI@ICML, volume 13200 of Lecture Notes in Computer Science, page 207-228. Springer, (2020)DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing., , , and . CHI, page 985:1-985:17. ACM, (2024)Neurosymbolic Learning for Robust and Reliable Intelligent Systems.. Massachusetts Institute of Technology, USA, (2022)Diverse Sampling for Normalizing Flow Based Trajectory Forecasting., , , and . CoRR, (2020)Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions., , , , , , and . ICLR, OpenReview.net, (2023)Is Self-Repair a Silver Bullet for Code Generation?, , , , and . ICLR, OpenReview.net, (2024)Execution-based Evaluation for Data Science Code Generation Models., , , , , , , , and . CoRR, (2022)