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Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations., , , , and . NeurIPS, (2020)From Probabilistic Circuits to Probabilistic Programs and Back.. ICAART (1), page 9. SCITEPRESS, (2021)k-Optimal: A Novel Approximate Inference Algorithm for ProbLog., , and . ILP, volume 7207 of Lecture Notes in Computer Science, page 33-38. Springer, (2011)Semantic Strengthening of Neuro-Symbolic Learning., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 10252-10261. PMLR, (2023)Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 21825-21838. PMLR, (2023)SE4ML - Software Engineering for AI-ML-based Systems (Dagstuhl Seminar 20091)., , , and . Dagstuhl Reports, 10 (2): 76-87 (2020)On the Challenges and Opportunities in Generative AI., , , , , , , , , and 15 other author(s). CoRR, (2024)Completeness Results for Lifted Variable Elimination., , , , and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 572-580. JMLR.org, (2013)Inducing Probabilistic Relational Rules from Probabilistic Examples., , , , and . IJCAI, page 1835-1843. AAAI Press, (2015)Tractable Learning for Structured Probability Spaces: A Case Study in Learning Preference Distributions., , and . IJCAI, page 2861-2868. AAAI Press, (2015)