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Efficient Weighted Model Integration via SMT-Based Predicate Abstraction.

, , and . IJCAI, page 720-728. ijcai.org, (2017)

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Learning and Reasoning in Hybrid Structured Spaces. Frontiers in Artificial Intelligence and Applications IOS Press, (2022)Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations., , , , and . NeurIPS, (2020)Probabilistic Inference in Hybrid Domains.. IJCAI, page 5193-5194. ijcai.org, (2017)Hybrid Probabilistic Inference with Logical and Algebraic Constraints: a Survey., , , and . IJCAI, page 4533-4542. ijcai.org, (2021)Learning Weighted Model Integration Distributions., , , and . AAAI, page 5224-5231. AAAI Press, (2020)Efficient Weighted Model Integration via SMT-Based Predicate Abstraction., , and . IJCAI, page 720-728. ijcai.org, (2017)The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration., , , , , , and . IJCAI, page 6530-6532. ijcai.org, (2019)Enhancing SMT-based Weighted Model Integration by Structure Awareness., , , , and . CoRR, (2023)Co-creating Platformer Levels with Constrained Adversarial Networks., , and . IUI Workshops, volume 2903 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)SMT-based weighted model integration with structure awareness., , , , and . UAI, volume 180 of Proceedings of Machine Learning Research, page 1876-1885. PMLR, (2022)