Injecting domain knowledge in neural networks: a controlled experiment on a constrained problem. - Mattia Silvestri; Michele Lombardi 001; Michela Milano (NeHuAI@ECAI, 2020)

Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning. - Mattia Silvestri; Allegra De Filippo; Federico Ruggeri; Michele Lombardi 001 (CPAIOR, 2022)

Supervised Anomaly Detection in Crude Oil Stabilization. - Mattia Silvestri; Michele Lombardi 001; Emiliano Mucchi; Luca Cadei; Giovanna Magnago; Marco Piantanida; Valentina D'Ottavio; Nguyen Van Tu; Simona Duma; Silvia Taddei; Annagiulia Tiozzo; Andrea Corneo; et al. (PAIS@ECAI, 2022)

UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning. - Mattia Silvestri; Allegra De Filippo; Michele Lombardi 001; Michela Milano (CoRR, 2022)

Altered grid-like coding in early blind people during imagined navigation. - Federica Sigismondi; Yangwen Xu; Mattia Silvestri; Roberto Bottini (CogSci, 2023)

An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations. - Mattia Silvestri; Federico Baldo; Eleonora Misino; Michele Lombardi 001 (ICCS (4), 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 001 (CoRR, 2023)

UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems. - Mattia Silvestri; Allegra De Filippo; Michele Lombardi 001; Michela Milano (Knowl. Based Syst., 2024)