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Inference and Learning with Model Uncertainty in Probabilistic Logic Programs.

, , , and . AAAI, page 10060-10069. AAAI Press, (2022)

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Knowledge Compilation with Continuous Random Variables and its Application in Hybrid Probabilistic Logic Programming., , and . CoRR, (2018)The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration., , , , , , and . IJCAI, page 6530-6532. ijcai.org, (2019)Monte Carlo Anti-Differentiation for Approximate Weighted Model Integration., and . CoRR, (2020)Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring., , , , and . CoRR, (2020)Semantic Relational Object Tracking., , , and . CoRR, (2019)SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge., , and . CoRR, (2023)Top-Down Knowledge Compilation for Counting Modulo Theories., , , and . CoRR, (2023)Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation., , and . AAAI, page 7825-7833. AAAI Press, (2019)Neural probabilistic logic programming in discrete-continuous domains., , , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 529-538. PMLR, (2023)ProbAnch: a Modular Probabilistic Anchoring Framework., , , and . IJCAI, page 5285-5287. ijcai.org, (2020)Demo.