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Symbolic Querying of Vector Spaces: Probabilistic Databases Meets Relational Embeddings.

, and . UAI, volume 124 of Proceedings of Machine Learning Research, page 1268-1277. AUAI Press, (2020)

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Out-of-Distribution Generalization by Neural-Symbolic Joint Training., , , and . AAAI, page 12252-12259. AAAI Press, (2023)Lifted Probabilistic Inference for Asymmetric Graphical Models., and . AAAI, page 3599-3605. AAAI Press, (2015)Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations., , , , and . NeurIPS, (2020)On the Challenges and Opportunities in Generative AI., , , , , , , , , and 15 other author(s). CoRR, (2024)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)First-Order Model Counting in a Nutshell.. IJCAI, page 4086-4089. IJCAI/AAAI Press, (2016)Completeness Results for Lifted Variable Elimination., , , , and . AISTATS, volume 31 of JMLR Workshop and Conference Proceedings, page 572-580. JMLR.org, (2013)SE4ML - Software Engineering for AI-ML-based Systems (Dagstuhl Seminar 20091)., , , and . Dagstuhl Reports, 10 (2): 76-87 (2020)Reports of the AAAI 2014 Conference Workshops., , , , , , , , , and 24 other author(s). AI Mag., 36 (1): 87-98 (2015)