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Learning Neurosymbolic Generative Models via Program synthesis., , and . DeepRLStructPred@ICLR, OpenReview.net, (2019)Constraint-Based Synthesis of Datalog Programs., , , and . CP, volume 10416 of Lecture Notes in Computer Science, page 689-706. Springer, (2017)PolyDroid: Learning-Driven Specialization of Mobile Applications., , , and . CoRR, (2019)Code2Inv: A Deep Learning Framework for Program Verification., , , , and . CAV (2), volume 12225 of Lecture Notes in Computer Science, page 151-164. Springer, (2020)Effective Program Debloating via Reinforcement Learning., , , and . ACM Conference on Computer and Communications Security, page 380-394. ACM, (2018)Effective interactive resolution of static analysis alarms., , , and . Proc. ACM Program. Lang., 1 (OOPSLA): 57:1-57:30 (2017)LASER: Neuro-Symbolic Learning of Semantic Video Representations., , , , and . CoRR, (2023)Hybrid top-down and bottom-up interprocedural analysis., , , and . PLDI, page 249-258. ACM, (2014)On abstraction refinement for program analyses in Datalog., , , , and . PLDI, page 239-248. ACM, (2014)User-guided program reasoning using Bayesian inference., , , and . PLDI, page 722-735. ACM, (2018)