Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem

Mattia Silvestri, Michele Lombardi, Michela Milano

Given enough data, Deep Neural Networks (DNNs) are capable of learning complex input-output relations with high accuracy. In several domains, however, data is scarce or expensive t…