66 citations · 84 across the 9 of their papers we have counts for
4 papers · 1 filter
Sum-Product Networks for Hybrid Domains
Alejandro Molina, Antonio Vergari, Nicola Di Mauro +3
While all kinds of mixed data -from personal data, over panel and scientific data, to public and commercial data- are collected and stored, building probabilistic graphical models…
Towards Representation Learning with Tractable Probabilistic Models
Antonio Vergari, Nicola Di Mauro, Floriana Esposito
Probabilistic models learned as density estimators can be exploited in representation learning beside being toolboxes used to answer inference queries only. However, how to extract…
Visualizing and Understanding Sum-Product Networks
Antonio Vergari, Nicola Di Mauro, Floriana Esposito
Sum-Product Networks (SPNs) are recently introduced deep tractable probabilistic models by which several kinds of inference queries can be answered exactly and in a tractable time.…
Ensemble Relational Learning based on Selective Propositionalization
Nicola Di Mauro, Floriana Esposito
Dealing with structured data needs the use of expressive representation formalisms that, however, puts the problem to deal with the computational complexity of the machine learning…