Publications

Renato Lui Geh, Denis Deratani Mauá (2019). End-To-End Imitation Learning of Lane Following Policies Using Sum-Product Networks. Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional.
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Thiago Pereira Bueno, Leliane Nunes De Barros, Denis Deratani Mauá, Scott Sanner (2019). Deep Reactive Policies for Planning in Stochastic Nonlinear Domains. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence.
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Fabio Gagliardi Cozman, Denis Deratani Mauá (2018). The Finite Model Theory of Bayesian Networks: Descriptive Complexity. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence.
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Ignasi Andrés, Leliane Nunes De Barros, ́ Denis Deratani Mau\, Thiago Dias Simão (2018). When a Robot Reaches Out for Human Help. Advances in Artificial Intelligence: Proceedings of the 16th Ibero-American Conference on Artificial Intelligence.
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Fabio Gagliardi Cozman, Denis Deratani Mauá (2018). The complexity of Bayesian networks specified by propositional and relational languages. Artificial Intelligence.
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Denis Deratani Mauá, Diarmaid Conaty, Fabio Gagliardi Cozman, Katja Poppenhaeger, Cassio Polpo De Campos (2018). Robustifying sum-product networks. International Journal of Approximate Reasoning.
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Igor Cataneo Silveira, Denis Deratani Mauá (2018). Advances in Automatically Solving the ENEM. Proceedings of the 7th Brazilian Conference on Intelligent Systems.
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Denis Deratani Mauá, Cassio P. De Campos (2017). Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks.
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Igor Cataneo Silveira, Denis Deratani Mauá (2017). University Entrance Exam as a Guiding Test for Artificial Intelligence. Proceedings of the 6th Brazilian Conference on Intelligent Systems.
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Denis Deratani Mauá, Fabio Gagliardi Cozman (2017). The effect of combination functions on the complexity of relational Bayesian networks. International Journal of Approximate Reasoning.
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