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08/05/2023
dPASP: A Comprehensive Differentiable Probabilistic Answer Set Programming Environment For Neurosymbolic Learning and Reasoning
We present dPASP, a novel declarative probabilistic logic programming fr...
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02/08/2022
Integrating question answering and text-to-SQL in Portuguese
Deep learning transformers have drastically improved systems that automa...
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08/19/2020
Tractable Inference in Credal Sentential Decision Diagrams
Probabilistic sentential decision diagrams are logic circuits where the ...
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01/31/2017
On the Semantics and Complexity of Probabilistic Logic Programs
We examine the meaning and the complexity of probabilistic logic program...
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12/04/2016
The Complexity of Bayesian Networks Specified by Propositional and Relational Languages
We examine the complexity of inference in Bayesian networks specified by...
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06/05/2014
Advances in Learning Bayesian Networks of Bounded Treewidth
This work presents novel algorithms for learning Bayesian network struct...
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09/08/2011
