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Conditional sum-product networks: Modular probabilistic circuits via gate functions., , , , , , и . Int. J. Approx. Reason., (2022)Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures., , , , , , и . CoRR, (2019)Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions., , , , и . AAAI, стр. 9533-9540. AAAI Press, (2021)Gradient-based Counterfactual Explanations using Tractable Probabilistic Models., и . CoRR, (2022)Making deep neural networks right for the right scientific reasons by interacting with their explanations., , , , , , , , и . Nat. Mach. Intell., 2 (8): 476-486 (2020)Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement., , и . CoRR, (2022)Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations., , , , , , , и . CoRR, (2020)Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning., , , , , , , и . UAI, том 115 из Proceedings of Machine Learning Research, стр. 334-344. AUAI Press, (2019)Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures., , , , , , и . PGM, том 138 из Proceedings of Machine Learning Research, стр. 401-412. PMLR, (2020)Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning., , , , и . CoRR, (2019)