Mattia Silvestri

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Ordinary Differential Equations

Multilayer Perceptron

Prior Domain Knowledge

Top Venues

Publications

Federica Sigismondi, Yangwen Xu, Mattia Silvestri, Roberto Bottini
Altered grid-like coding in early blind people during imagined navigation. CogSci (2023)
Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Irfan Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning. CoRR (2023)
Mattia Silvestri, Federico Baldo, Eleonora Misino, Michele Lombardi
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations. CoRR (2023)
Mattia Silvestri, Federico Baldo, Eleonora Misino, Michele Lombardi
An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations. ICCS (4) (2023)
Mattia Silvestri, Allegra De Filippo, Michele Lombardi, Michela Milano
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning. CoRR (2022)
Mattia Silvestri, Allegra De Filippo, Federico Ruggeri, Michele Lombardi
Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning. CPAIOR (2022)
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
Supervised Anomaly Detection in Crude Oil Stabilization. PAIS@ECAI (2022)
Mattia Silvestri, Michele Lombardi, Michela Milano
Injecting Domain Knowledge in Neural Networks: A Controlled Experiment on a Constrained Problem. CPAIOR (2021)
Mattia Silvestri, Michele Lombardi, Michela Milano
Injecting domain knowledge in neural networks: a controlled experiment on a constrained problem. NeHuAI@ECAI (2020)
Mattia Silvestri, Michele Lombardi, Michela Milano
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem. CoRR (2020)