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Inference and learning in probabilistic logic programs using weighted Boolean formulas, , , , , , , и . TPLP, 15 (3): 358--401 (2015)Lifted Generative Learning of Markov Logic Networks, , , и . Machine Learning, (2015)(to appear).Completeness Results for Lifted Variable Elimination, , , , и . Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics (AISTATS), стр. 572--580. (2013)Probability Distributions over Structured Spaces., , и . AAAI Spring Symposia, AAAI Press, (2015)Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams., , , , и . IDA, том 12080 из Lecture Notes in Computer Science, стр. 184-196. Springer, (2020)From Probabilistic Circuits to Probabilistic Programs and Back.. ICAART (1), стр. 9. SCITEPRESS, (2021)k-Optimal: A Novel Approximate Inference Algorithm for ProbLog., , и . ILP, том 7207 из Lecture Notes in Computer Science, стр. 33-38. Springer, (2011)Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations., , , , и . NeurIPS, (2020)Semantic Strengthening of Neuro-Symbolic Learning., , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 10252-10261. PMLR, (2023)Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 21825-21838. PMLR, (2023)