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Conditional sum-product networks: Modular probabilistic circuits via gate functions., , , , , , and . Int. J. Approx. Reason., (2022)Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures., , , , , , and . CoRR, (2019)Faster Attend-Infer-Repeat with Tractable Probabilistic Models., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5966-5975. PMLR, (2019)Structured Object-Aware Physics Prediction for Video Modeling and Planning., , , , and . ICLR, OpenReview.net, (2020)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)Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures., , , , , , and . PGM, volume 138 of Proceedings of Machine Learning Research, page 401-412. PMLR, (2020)Random Sum-Product Forests with Residual Links., , , and . CoRR, (2019)Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits., , , , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 7563-7574. PMLR, (2020)Structured Object-Aware Physics Prediction for Video Modeling and Planning., , , , and . CoRR, (2019)Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement., , and . CoRR, (2022)