| Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging RL Geh, DD Mauá Uncertainty in Artificial Intelligence, 2039-2049, 2021 | 3 | 2021 |
| Fast and accurate learning of probabilistic circuits by random projections R Geh, D Mauá The 4th Workshop on Tractable Probabilistic Modeling, 2021 | 2 | 2021 |
| Learning probabilistic sentential decision diagrams by sampling RL Geh, DD Mauá, A Antonucci Proceedings, 2020 | 2 | 2020 |
| End-to-end imitation learning of lane following policies using sum-product networks R Geh, D Mauá Anais do XVI Encontro Nacional de Inteligência Artificial e Computacional …, 2019 | 2 | 2019 |
| dpasp: A comprehensive differentiable probabilistic answer set programming environment for neurosymbolic learning and reasoning RL Geh, J Gonçalves, IC Silveira, DD Mauá, FG Cozman arXiv preprint arXiv:2308.02944, 2023 | 1 | 2023 |
| LUNCH: an Answer Set Programming System for Course Scheduling AYF de Lima, BMD de Sousa, DP Cardeal, JYN Sato, LB Salvador, ... Anais do XX Encontro Nacional de Inteligência Artificial e Computacional …, 2023 | | 2023 |
| Scalable learning of probabilistic circuits RL Geh, DD Mauá Anais do XXXVI Concurso de Teses e Dissertações, 138-147, 2023 | | 2023 |
Denis Deratani MauáProfessor, Dept. of Computer Science, Institute of Mathematics and Statistics, Universidade de SãoVerified email at usp.br
