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Journal Articles
- 2024
[j1]Mattia Silvestri
, Allegra De Filippo, Michele Lombardi, Michela Milano:
UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems. Knowl. Based Syst. 303: 112383 (2024)
Conference and Workshop Papers
- 2023
- [c6]Federica Sigismondi, Yangwen Xu, Mattia Silvestri, Roberto Bottini:
Altered grid-like coding in early blind people during imagined navigation. CogSci 2023 - [c5]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: 353-366 - 2022
- [c4]Mattia Silvestri, Allegra De Filippo, Federico Ruggeri, Michele Lombardi:
Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning. CPAIOR 2022: 358-373 - [c3]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: 114-127 - 2021
- [c2]Mattia Silvestri, Michele Lombardi, Michela Milano:
Injecting Domain Knowledge in Neural Networks: A Controlled Experiment on a Constrained Problem. CPAIOR 2021: 266-282 - 2020
- [c1]Mattia Silvestri, Michele Lombardi, Michela Milano:
Injecting domain knowledge in neural networks: a controlled experiment on a constrained problem. NeHuAI@ECAI 2020: 52-58
Informal and Other Publications
- 2023
- [i4]Mattia Silvestri, Federico Baldo, Eleonora Misino, Michele Lombardi:
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations. CoRR abs/2306.10335 (2023) - [i3]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 abs/2307.05213 (2023) - 2022
- [i2]Mattia Silvestri, Allegra De Filippo, Michele Lombardi, Michela Milano:
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning. CoRR abs/2210.14030 (2022) - 2020
- [i1]Mattia Silvestri, Michele Lombardi, Michela Milano:
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem. CoRR abs/2002.10742 (2020)
Coauthor Index
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