Denis D. Mauá

Denis D. Mauá

Assistant Professor

University of São Paulo

I am an Assistant Professor at the Department of Computer Science of the Institute of Mathematics and Statistics of the University of São Paulo. For the most part, my work has focused on the computational aspects of discrete probabilistic graphical models (e.g., Bayesian networks, credal networks, sum-product networks) and their use in classification, robust inference and planning under uncertainty. I am also interested in probabilistic programming and in probabilistic logics such as ProbLog. A possible use of probabilistic reasoning is in designing a digital student that will one day pass a university-entrance level standardized test.


  • Artificial Intelligence
  • Probabilistic Graphical Models
  • Probabilistic Circuits
  • Probabilistic Programming
  • Statistical Relational Learning
  • Planning under uncertainty
  • Imprecise Probability


  • PhD in Informatics, 2013

    University of Lugano

  • MEng in Mechatronics, 2009

    University of São Paulo

  • Electrical Engineering, 2007

    University of São Paulo

Most Recent Publications

(2021). Cautious Classification with Data Missing Not at Random using Generative Random Forests. Proceedings of the Sixteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty.

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(2021). Fast And Accurate Learning of Probabilistic Circuits by Random Projections. Proceedings of the 4th Workshop on Tractable Probabilistic Modeling.

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(2021). Learning Probabilistic Sentential Decision Diagrams under Logic Constraints by Sampling and Averaging. Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence.

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(2020). Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks. PGM 2020.

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(2020). Complexity results for probabilistic answer set programming. IJAR.