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Learning and Inference in Tractable Probabilistic Knowledge Bases.

, and . UAI, page 632-641. AUAI Press, (2015)

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Learning Disentangled Discrete Representations., , , and . ECML/PKDD (4), volume 14172 of Lecture Notes in Computer Science, page 593-609. Springer, (2023)Reasoning under Uncertainty with Log-Linear Description Logics.. URSW, volume 778 of CEUR Workshop Proceedings, page 105-108. CEUR-WS.org, (2011)Integrating Open and Closed Information Extraction: Challenges and First Steps., , , and . NLP-DBPEDIA@ISWC, volume 1064 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Representation Learning for Visual-Relational Knowledge Graphs., , , , and . CoRR, (2017)User profiling by network observers., , , , , and . CoNEXT, page 212-222. ACM, (2021)Lifted Probabilistic Inference for Asymmetric Graphical Models., and . AAAI, page 3599-3605. AAAI Press, (2015)Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (KNOW@LOD 2013), , , , and . CEUR-WS.org, (2013)Logical Inference Algorithms and Matrix Representations for Probabilistic Conditional Independence.. UAI, page 428-435. AUAI Press, (2009)A Delayed Column Generation Strategy for Exact k-Bounded MAP Inference in Markov Logic Networks.. UAI, page 384-391. AUAI Press, (2010)Learning Graph Representations with Embedding Propagation., and . NIPS, page 5119-5130. (2017)