Publications

(2020). Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks. Proceedings of the Tenth International Conference on Probabilistic Graphical Models.
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(2020). Tractable inference in credal sentential decision diagrams. International Journal of Approximate Reasoning.
(2020). Thirty years of credal networks: Specification, algorithms and complexity. International Journal of Approximate Reasoning.
(2020). The Joy of Probabilistic Answer Set Programming: Semantics, complexity, expressivity, inference. International Journal of Approximate Reasoning.
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(2020). Prediction of Environmental Conditions for Maritime Navigation using a Network of Sensors: A Practical Application of Graph Neural Networks. Proceedings of the VIII Symposium on Knowledge Discovery, Mining and Learning.
(2020). On the Performance of Planning Through Backpropagation. Proceedings of the 9th Brazilian Conference on Intelligent Systems.
(2020). Learning Probabilistic Sentential Decision Diagrams by Sampling. Proceedings of the VIII Symposium on Knowledge Discovery, Mining and Learning.
(2020). Finding Feasible Policies for Extreme Risk-Averse Agents in Probabilistic Planning. Proceedings of the 9th Brazilian Conference on Intelligent Systems.
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(2020). Efficient Algorithms for Robustness Analysis of Maximum A Posteriori Inference in Selective Sum-Product Networks. International Journal of Approximate Reasoning.
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(2020). Decision-Aware Model Learning for Actor-Critic Methods: When Theory Does Not Meet Practice. Proceedings of the First I Can’t Believe It’s Not Better Workshop.
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