23 citations · 85 across the 13 of their papers we have counts for
13 papers
dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning
Renato Lui Geh, Jonas Gonçalves, Igor Cataneo Silveira +2
We present dPASP, a novel declarative probabilistic logic programming framework for differentiable neuro-symbolic reasoning. The framework allows for the specification of discrete…
The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory
Paulo Pirozelli, Ais B. R. Castro, Ana Luiza C. de Oliveira +19
We describe the first steps in the development of an artificial agent focused on the Brazilian maritime territory, a large region within the South Atlantic also known as the Blue A…
Integrating question answering and text-to-SQL in Portuguese
Marcos Menon José, Marcelo Archanjo José, Denis Deratani Mauá +1
Deep learning transformers have drastically improved systems that automatically answer questions in natural language. However, different questions demand different answering techni…
Tractable Inference in Credal Sentential Decision Diagrams
Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá +2
Probabilistic sentential decision diagrams are logic circuits where the inputs of disjunctive gates are annotated by probability values. They allow for a compact representation of…
Speeding-up ProbLog's Parameter Learning
Francisco H. O. V. de Faria, Arthur C. Gusmão, Fabio G. Cozman +1
ProbLog is a state-of-art combination of logic programming and probabilities; in particular ProbLog offers parameter learning through a variant of the EM algorithm. However, the re…
Approximation Complexity of Maximum A Posteriori Inference in Sum-Product Networks
Diarmaid Conaty, Denis D. Mauá, Cassio P. de Campos
We discuss the computational complexity of approximating maximum a posteriori inference in sum-product networks. We first show NP-hardness in trees of height two by a reduction fro…