2 papers
cs.LG2022
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
Andrea Valenti, Davide Bacciu, Antonio Vergari
While showing impressive performance on various kinds of learning tasks, it is yet unclear whether deep learning models have the ability to robustly tackle reasoning tasks. than by…
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…