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Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks.

, , , и . AAAI, стр. 8212-8219. AAAI Press, (2022)

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Markov conditions and factorization in logical credal networks., , , , , и . Int. J. Approx. Reason., (2024)Logical Credal Networks., , , , , , , и . NeurIPS, (2022)Leveraging Abstract Meaning Representation for Knowledge Base Question Answering., , , , , , , , , и 20 other автор(ы). ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 3884-3894. Association for Computational Linguistics, (2021)Quasar Classification Using Color and Variability, , , , , , , , и . (2015)cite arxiv:1508.04121Comment: 32 pages, 23 figures. Accepted for publication in ApJS. Data file is available at http://oberon.physics.drexel.edu/~tinapeters/quasarclassification/Peters2015Catalog_30042015.fit.bz2.Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning., , , , , и . ICASSP, стр. 5559-5563. IEEE, (2021)Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks., , , и . AAAI, стр. 8212-8219. AAAI Press, (2022)Question Answering over Knowledge Bases by Leveraging Semantic Parsing and Neuro-Symbolic Reasoning., , , , , , , , , и 20 other автор(ы). CoRR, (2020)SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases., , , , , , , , , и 15 other автор(ы). EMNLP (Findings), стр. 3866-3879. Association for Computational Linguistics, (2022)Approximate Inference in Logical Credal Networks., , , , , , и . IJCAI, стр. 5694-5701. ijcai.org, (2023)Bayesian High-Redshift Quasar Classification from Optical and Mid-IR Photometry, , , , , , , , , и 2 other автор(ы). (2015)cite arxiv:1507.07788Comment: 54 pages, 17 figures; accepted by ApJS Data for tables 1 and 2 available at http://www.physics.drexel.edu/~gtr/outgoing/optirqsos/data/master_quasar_catalogs.011414.fits.bz2 and http://www.physics.drexel.edu/~gtr/outgoing/optirqsos/data/optical_ir_quasar_candidates.052015.fits.bz2.