103 citations · 272 across the 64 of their papers we have counts for
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cs.LG2016
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…
cs.LG2016★ 9 cited
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.…