4 citations · 5 across the 4 of their papers we have counts for
4 papers
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning
Mattia Silvestri, Senne Berden, Jayanta Mandi +4
Many real-world optimization problems contain parameters that are unknown before deployment time, either due to stochasticity or to lack of information (e.g., demand or travel time…
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations
Mattia Silvestri, Federico Baldo, Eleonora Misino +1
In the last decade, the scientific community has devolved its attention to the deployment of data-driven approaches in scientific research to provide accurate and reliable analysis…
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning
Mattia Silvestri, Allegra De Filippo, Michele Lombardi +1
The interplay between Machine Learning (ML) and Constrained Optimization (CO) has recently been the subject of increasing interest, leading to a new and prolific research area cove…
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…