Mattia Silvestri

According to our database, Mattia Silvestri authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning.

Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Irfan Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi

CoRR, 2023

An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations.

Mattia Silvestri, Federico Baldo, Eleonora Misino, Michele Lombardi

Proceedings of the Computational Science - ICCS 2023, 2023

2022

UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning.

Mattia Silvestri, Allegra De Filippo, Michele Lombardi, Michela Milano

CoRR, 2022

Supervised Anomaly Detection in Crude Oil Stabilization.

Mattia Silvestri, Michele Lombardi, Emiliano Mucchi, Luca Cadei, Giovanna Magnago, Marco Piantanida, Valentina D'Ottavio, Nguyen Van Tu, Simona Duma, Silvia Taddei, Annagiulia Tiozzo, Andrea Corneo, Lorenzo Lancia, Laura Rocchi, Pietro Coffari di Gilferraro

Proceedings of the PAIS 2022, 2022

Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning.

Mattia Silvestri, Allegra De Filippo, Federico Ruggeri, Michele Lombardi

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2022

2021

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

Mattia Silvestri, Michele Lombardi, Michela Milano

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2021