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Active Bayesian Causal Inference., , , , , , and . NeurIPS, (2022)Foundations of Sum-Product Networks for Probabilistic Modeling. (2015)On Theoretical Properties of Sum-Product Networks., , , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)The Most Generative Maximum Margin Bayesian Networks., , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 235-243. JMLR.org, (2013)On representation learning for artificial bandwidth extension., , and . INTERSPEECH, page 791-795. ISCA, (2015)Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development., , , , , , and . INTERSPEECH, page 2997-3001. ISCA, (2016)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)Continuous Mixtures of Tractable Probabilistic Models., , , , and . AAAI, page 7244-7252. AAAI Press, (2023)