Publications

Alvaro H. C. Correia, Gennaro Gala, Erik Quaeghebeur, Cassio de Campos, Robert Peharz (2022). Continuous Mixtures of Tractable Probabilistic Models. to appear at AAAI-2023.

Alvaro H. C. Correia, Daniel E. Worrall, Roberto Bondesan (2022). Neural Simulated Annealing. Under Review.

Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos (2020). Towards Robust Classification with Deep Generative Forests. 2020 ICML Workshop on Uncertainty and Robustness in Deep Learning (UDL 2020).

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Alvaro H. C. Correia, Robert Peharz, Cassio P. de Campos (2020). Joints in Random Forests. Advances in Neural Information Processing Systems 33.

Alvaro H. C. Correia, Cassio P. de Campos (2019). Towards scalable and robust sum-product networks. Lecture Notes in Computer Science. SUM 2019: Scalable Uncertainty Management.

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Alvaro H. C. Correia, James Cussens, Cassio P. de Campos (2019). On Pruning for Score-Based Bayesian Network Structure Learning. Twenty-third International Conference on Artificial Intelligence and Statistics (AISTATS 2020).

Alvaro H. C. Correia, Freddy Lecue (2019). Human-in-the-Loop Feature Selection. Thirty-Third AAAI Conference on Artificial Intelligence.

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Alvaro H. C. Correia, Cassio P. de Campos, Linda C. van der Gaag (2019). An Experimental Study of Prior Dependence in Bayesian Network Structure Learning. Eleventh International Symposium on Imprecise Probability (ISIPTA 2019).

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Arthur Colombini Gusmão, Alvaro H. C. Correia, Glauber De Bona, Fabio Gagliardi Cozman (2018). Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach. 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018).

Alvaro H. C. Correia, Jorge L. M. Silva, C. Thiago De Martins, G. Fabio Cozman (2018). A Fully Attention-Based Information Retriever. Proceedings of the International Joint Conference on Neural Networks.

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