Michele Lombardi

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 71

Top Venues

CoRR

CPAIOR

IJCAI

University of Bologna, Italy (PHD)

Education History

University of Bologna, Italy

PHD

Publications

Luca Giuliani, Eleonora Misino, Michele Lombardi
Generalized Disparate Impact for Configurable Fairness Solutions in ML. ICML (2023)
Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano
A geometric framework for fairness. AEQUITAS@ECAI (2023)
Luca Giuliani, Eleonora Misino, Michele Lombardi
Generalized Disparate Impact for Configurable Fairness Solutions in ML. CoRR (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)
Samuele Marro, Michele Lombardi
Computational Asymmetries in Robust Classification. ICML (2023)
Lorenzo Cellini, Antonio Macaluso, Michele Lombardi
QAL-BP: An Augmented Lagrangian Quantum Approach for Bin Packing Problem. 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)
Samuele Marro, Michele Lombardi
Computational Asymmetries in Robust Classification. CoRR (2023)
Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System. AEQUITAS@ECAI (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)
Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens. CoRR (2022)
Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano
Informed Deep Learning for Epidemics Forecasting. PAIS@ECAI (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)
Emma Frejinger, Andrea Lodi, Michele Lombardi, Neil Yorke-Smith
Data-Driven Combinatorial Optimisation (Dagstuhl Seminar 22431). Dagstuhl Reports 12 (10) (2022)
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
Contrastive Losses and Solution Caching for Predict-and-Optimize. IJCAI (2021)
Mattia Silvestri, Michele Lombardi, Michela Milano
Injecting Domain Knowledge in Neural Networks: A Controlled Experiment on a Constrained Problem. CPAIOR (2021)
Fabrizio Detassis, Michele Lombardi, Michela Milano
Teaching the Old Dog New Tricks: Supervised Learning with Constraints. AAAI (2021)
Federico Baldo, Lorenzo Dall'Olio, Mattia Ceccarelli, Riccardo Scheda, Michele Lombardi, Andrea Borghesi, Stefano Diciotti, Michela Milano
Deep Learning for Virus-Spreading Forecasting: a Brief Survey. CoRR (2021)
Allegra De Filippo, Michele Lombardi, Michela Milano
Integrated Offline and Online Decision Making under Uncertainty. J. Artif. Intell. Res. 70 (2021)
Yingqian Zhang, Michele Lombardi, Patrick De Causmaecker
Preface. Ann. Math. Artif. Intell. 89 (7) (2021)
Allegra De Filippo, Michele Lombardi, Michela Milano
Robust Optimization Models For Local Flexibility Characterization of Virtual Power Plants. AI*IA (2021)
Fabrizio Detassis, Michele Lombardi, Michela Milano
Teaching the old dog new tricks: supervised learning with constraints. NeHuAI@ECAI (2020)
Allegra De Filippo, Michele Lombardi, Michela Milano
Hybrid Offline/Online Optimization Under Uncertainty. ECAI (2020)
Fabrizio Detassis, Michele Lombardi, Michela Milano
Teaching the Old Dog New Tricks: Supervised Learning with Constraints. CoRR (2020)
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
Discrete solution pools and noise-contrastive estimation for predict-and-optimize. CoRR (2020)
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)
Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano
An Analysis of Regularized Approaches for Constrained Machine Learning. TAILOR (2020)
Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano
Combining learning and optimization for transprecision computing. CF (2020)
Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano
Injective Domain Knowledge in Neural Networks for Transprecision Computing. CoRR (2020)
Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano
Injective Domain Knowledge in Neural Networks for Transprecision Computing. LOD (1) (2020)
Allegra De Filippo, Michele Lombardi, Michela Milano
The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty. IJCAI (2020)
Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano
An Analysis of Regularized Approaches for Constrained Machine Learning. CoRR (2020)
Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano
Combining Learning and Optimization for Transprecision Computing. CoRR (2020)
Ferdinando Fioretto, Pascal Van Hentenryck, Terrence W. K. Mak, Cuong Tran, Federico Baldo, Michele Lombardi
Lagrangian Duality for Constrained Deep Learning. ECML/PKDD (5) (2020)
Ferdinando Fioretto, Terrence W. K. Mak, Federico Baldo, Michele Lombardi, Pascal Van Hentenryck
A Lagrangian Dual Framework for Deep Neural Networks with Constraints. CoRR (2020)
Allegra De Filippo, Michele Lombardi, Michela Milano
How to Tame Your Anticipatory Algorithm. IJCAI (2019)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems. Eng. Appl. Artif. Intell. 85 (2019)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Anomaly Detection using Autoencoders in High Performance Computing Systems. DDC@AI*IA (2019)
Danuta Sorina Chisca, Michele Lombardi, Michela Milano, Barry O'Sullivan
Logic-Based Benders Decomposition for Super Solutions: An Application to the Kidney Exchange Problem. CP (2019)
Danuta Sorina Chisca, Michele Lombardi, Michela Milano, Barry O'Sullivan
A Sampling-Free Anticipatory Algorithm for the Kidney Exchange Problem. CPAIOR (2019)
Allegra De Filippo, Michele Lombardi, Michela Milano
How to Tame Your Anticipatory Algorithm. DDC@AI*IA (2019)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Anomaly Detection Using Autoencoders in High Performance Computing Systems. AAAI (2019)
Allegra De Filippo, Michele Lombardi, Michela Milano
Methods for off-line/on-line optimization under uncertainty. IJCAI (2018)
Sascha Van Cauwelaert, Michele Lombardi, Pierre Schaus
How efficient is a global constraint in practice? - A fair experimental framework. Constraints An Int. J. 23 (1) (2018)
Andrea Galassi, Michele Lombardi, Paola Mello, Michela Milano
Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study. CPAIOR (2018)
Michele Lombardi, Michela Milano
Boosting Combinatorial Problem Modeling with Machine Learning. CoRR (2018)
Michele Lombardi, Michela Milano
Boosting Combinatorial Problem Modeling with Machine Learning. IJCAI (2018)
Danuta Sorina Chisca, Michele Lombardi, Michela Milano, Barry O'Sullivan
From Offline to Online Kidney Exchange Optimization. ICTAI (2018)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Scheduling-based power capping in high performance computing systems. Sustain. Comput. Informatics Syst. 19 (2018)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Anomaly Detection using Autoencoders in High Performance Computing Systems. CoRR (2018)
Allegra De Filippo, Michele Lombardi, Michela Milano
Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management. CPAIOR (2018)
Sascha Van Cauwelaert, Michele Lombardi, Pierre Schaus
A Visual Web Tool to Perform What-If Analysis of Optimization Approaches. CoRR (2017)
Allegra De Filippo, Michele Lombardi, Michela Milano, Alberto Borghetti
Robust Optimization for Virtual Power Plants. AI*IA (2017)
Michele Lombardi, Michela Milano, Andrea Bartolini
Empirical decision model learning. Artif. Intell. 244 (2017)
Domenico Salvagnin, Michele Lombardi
Introduction to the CPAIOR 2017 fast track issue. Constraints An Int. J. 22 (4) (2017)
Alessio Bonfietti, Alessandro Zanarini, Michele Lombardi, Michela Milano
The Multirate Resource Constraint. CP (2016)
Michele Lombardi, Stefano Gualandi
A lagrangian propagator for artificial neural networks in constraint programming. Constraints An Int. J. 21 (4) (2016)
Allegra De Filippo, Michele Lombardi, Michela Milano
Non-linear Optimization of Business Models in the Electricity Market. CPAIOR (2016)
Thomas Bridi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
A Constraint Programming Scheduler for Heterogeneous High-Performance Computing Machines. IEEE Trans. Parallel Distributed Syst. 27 (10) (2016)
Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano
DARDIS: Distributed And Randomized DIspatching and Scheduling. AI*IA (2016)
Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano
DARDIS: Distributed And Randomized DIspatching and Scheduling. ECAI (2016)
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Predictive Modeling for Job Power Consumption in HPC Systems. ISC (2016)
Michele Lombardi, Alessio Bonfietti, Michela Milano
Deterministic Estimation of the Expected Makespan of a POS Under Duration Uncertainty. CP (2015)
Alessio Bonfietti, Michele Lombardi, Michela Milano
Embedding Decision Trees and Random Forests in Constraint Programming. CPAIOR (2015)
Sascha Van Cauwelaert, Michele Lombardi, Pierre Schaus
Understanding the Potential of Propagators. CPAIOR (2015)
Andrea Borghesi, Christian Conficoni, Michele Lombardi, Andrea Bartolini
MS3: A Mediterranean-stile job scheduler for supercomputers - do less when it's too hot! HPCS (2015)
Andrea Borghesi, Francesca Collina, Michele Lombardi, Michela Milano, Luca Benini
Power Capping in High Performance Computing Systems. CP (2015)
Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano
A CP Scheduler for High-Performance Computers. DC@AI*IA (2015)
Andrea Bartolini, Andrea Borghesi, Thomas Bridi, Michele Lombardi, Michela Milano
Proactive Workload Dispatching on the EURORA Supercomputer. CP (2014)
Michele Lombardi, Pierre Schaus
Cost Impact Guided LNS. CPAIOR (2014)
Michela Milano, Michele Lombardi
Strategic decision making on complex systems. Constraints An Int. J. 19 (2) (2014)
Alessio Bonfietti, Michele Lombardi, Luca Benini, Michela Milano
CROSS cyclic resource-constrained scheduling solver. Artif. Intell. 206 (2014)
Alessio Bonfietti, Michele Lombardi, Michela Milano
Disregarding Duration Uncertainty in Partial Order Schedules? Yes, We Can! CPAIOR (2014)
Michele Lombardi, Stefano Gualandi
A New Propagator for Two-Layer Neural Networks in Empirical Model Learning. CP (2013)
Alessio Bonfietti, Michele Lombardi, Michela Milano, Luca Benini
Maximum-throughput mapping of SDFGs on multi-core SoC platforms. J. Parallel Distributed Comput. 73 (10) (2013)
Michele Lombardi, Michela Milano
A Min-Flow Algorithm for Minimal Critical Set Detection in Resource Constrained Project Scheduling. ICAPS (2013)
Michele Lombardi, Michela Milano, Luca Benini
Robust Scheduling of Task Graphs under Execution Time Uncertainty. IEEE Trans. Computers 62 (1) (2013)
Alessio Bonfietti, Michele Lombardi, Michela Milano
De-Cycling Cyclic Scheduling Problems. ICAPS (2013)
Stefano Gualandi, Michele Lombardi
A Simple and Effective Decomposition for the Multidimensional Binpacking Constraint. CP (2013)
Alessio Bonfietti, Michele Lombardi, Luca Benini, Michela Milano
Global Cyclic Cumulative Constraint. CPAIOR (2012)
Michele Lombardi, Michela Milano
Optimal methods for resource allocation and scheduling: a cross-disciplinary survey. Constraints An Int. J. 17 (1) (2012)
Michele Lombardi, Michela Milano
A min-flow algorithm for Minimal Critical Set detection in Resource Constrained Project Scheduling. Artif. Intell. (2012)
Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Optimization and Controlled Systems: A Case Study on Thermal Aware Workload Dispatching. AAAI (2012)
Alessio Bonfietti, Michele Lombardi
The Weighted Average Constraint. CP (2012)
Alessio Franceschelli, Paolo Burgio, Giuseppe Tagliavini, Andrea Marongiu, Martino Ruggiero, Michele Lombardi, Alessio Bonfietti, Michela Milano, Luca Benini
MPOpt-Cell: a high-performance data-flow programming environment for the CELL BE processor. Conf. Computing Frontiers (2011)
Michele Lombardi, Alessio Bonfietti, Michela Milano, Luca Benini
Precedence Constraint Posting for Cyclic Scheduling Problems. CPAIOR (2011)
Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
Neuron Constraints to Model Complex Real-World Problems. CP (2011)
Luca Benini, Michele Lombardi, Michela Milano, Martino Ruggiero
Optimal resource allocation and scheduling for the CELL BE platform. Ann. Oper. Res. 184 (1) (2011)
Michele Lombardi, Michela Milano, Andrea Roli, Alessandro Zanarini
Deriving Information from Sampling and Diving. Fundam. Informaticae 107 (2-3) (2011)
Alessio Bonfietti, Michele Lombardi, Luca Benini, Michela Milano
A Constraint Based Approach to Cyclic RCPSP. CP (2011)
Michele Lombardi, Michela Milano
Allocation and scheduling of Conditional Task Graphs. Artif. Intell. 174 (7-8) (2010)
Michele Lombardi, Michela Milano, Martino Ruggiero, Luca Benini
Stochastic allocation and scheduling for conditional task graphs in multi-processor systems-on-chip. J. Sched. 13 (4) (2010)
Alessio Bonfietti, Luca Benini, Michele Lombardi, Michela Milano
An efficient and complete approach for throughput-maximal SDF allocation and scheduling on multi-core platforms. DATE (2010)
Michele Lombardi, Luca Benini, Abhishek Garg, Giovanni De Micheli
Methods for Designing Reliable Probe Arrays. BIBE (2010)
Fabio Parisini, Michele Lombardi, Michela Milano
Discrepancy-Based Sliced Neighborhood Search. AIMSA (2010)
Michele Lombardi, Michela Milano
Constraint Based Scheduling to Deal with Uncertain Durations and Self-Timed Execution. CP (2010)
Michele Lombardi, Michela Milano
A Precedence Constraint Posting Approach for the RCPSP with Time Lags and Variable Durations. CP (2009)

Michele Lombardi.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Michele Lombardi