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Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning.

, , , , , , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 334-344. AUAI Press, (2019)

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SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks., , , , , , , and . CoRR, (2019)Exact Maximum Margin Structure Learning of Bayesian Networks., and . ICML, icml.cc / Omnipress, (2012)Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters., , and . ICLR (Poster), OpenReview.net, (2019)Sum-Product Network Decompilation., , and . CoRR, (2019)On the Latent Variable Interpretation in Sum-Product Networks., , , and . CoRR, (2016)Sum-Product Network Decompilation., , and . PGM, volume 138 of Proceedings of Machine Learning Research, page 53-64. PMLR, (2020)Continuous Mixtures of Tractable Probabilistic Models., , , , and . AAAI, page 7244-7252. AAAI Press, (2023)Bayesian Structure Scores for Probabilistic Circuits., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 563-575. PMLR, (2023)On linear and mixmax interaction models for single channel source separation., and . ICASSP, page 249-252. IEEE, (2012)Conditional sum-product networks: Modular probabilistic circuits via gate functions., , , , , , and . Int. J. Approx. Reason., (2022)