Lombardi, Michele

19 publications

JAIR 2026 Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning Mattia Silvestri, Senne Berden, Gaetano Signorelli, Ali Irfan Mahmutogullari, Jayanta Mandi, Brandon Amos, Tias Guns, Michele Lombardi

JAIR 2025 Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities Quentin Cappart, Tias Guns, Michele Lombardi, Gilles Pesant, Dimos Tsouros

ICLR 2025 Language Models Are Implicitly Continuous Samuele Marro, Davide Evangelista, X. Angelo Huang, Emanuele La Malfa, Michele Lombardi, Michael J. Wooldridge

AAAI 2025 SMLE: Safe Machine Learning via Embedded Overapproximation Matteo Francobaldi, Michele Lombardi

IJCAI 2024 Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: The FAiRDAS General Method Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano

ICML 2023 Computational Asymmetries in Robust Classification Samuele Marro, Michele Lombardi

ICML 2023 Generalized Disparate Impact for Configurable Fairness Solutions in ML Luca Giuliani, Eleonora Misino, Michele Lombardi

ICMLW 2023 Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali İrfan Mahmutoğulları, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi

IJCAI 2021 Contrastive Losses and Solution Caching for Predict-and-Optimize Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns

JAIR 2021 Integrated Offline and Online Decision Making Under Uncertainty Allegra De Filippo, Michele Lombardi, Michela Milano

AAAI 2021 Teaching the Old Dog New Tricks: Supervised Learning with Constraints Fabrizio Detassis, Michele Lombardi, Michela Milano

ECML-PKDD 2020 Lagrangian Duality for Constrained Deep Learning Ferdinando Fioretto, Pascal Van Hentenryck, Terrence W. K. Mak, Cuong Tran, Federico Baldo, Michele Lombardi

IJCAI 2020 The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty Allegra De Filippo, Michele Lombardi, Michela Milano

AAAI 2019 Anomaly Detection Using Autoencoders in High Performance Computing Systems Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini

IJCAI 2019 How to Tame Your Anticipatory Algorithm Allegra De Filippo, Michele Lombardi, Michela Milano

IJCAI 2018 Boosting Combinatorial Problem Modeling with Machine Learning Michele Lombardi, Michela Milano

IJCAI 2018 Methods for Off-Line/on-Line Optimization Under Uncertainty Allegra De Filippo, Michele Lombardi, Michela Milano

AAAI 2012 Optimization and Controlled Systems: A Case Study on Thermal Aware Workload Dispatching Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini

AAAI 2007 Optimal Multi-Agent Scheduling with Constraint Programming Willem Jan van Hoeve, Carla P. Gomes, Bart Selman, Michele Lombardi