Michele Lombardi

138 papers A* 17A 20B 16C 4Misc 2Journal 49Unranked 28
YearRankTypeTitle / Venue / Authors
2026 A* conf
SMiLE: Provably Enforcing Global Relational Properties in Neural Networks.
AAAI
Matteo Francobaldi, Michele Lombardi, Andrea Lodi
2026 J jnl
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning.
J. Artif. Intell. Res.
Mattia Silvestri, Senne Berden, Gaetano Signorelli, Ali Irfan Mahmutogullari, Jayanta Mandi, Brandon Amos, Tias Guns, Michele Lombardi
2025 A conf
Achieving Intersectional Algorithmic Fairness by Constructing a Maximal Correlation Latent Space.
ECAI
Luca Giuliani, Michele Lombardi
2025 J jnl
Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities.
J. Artif. Intell. Res.
Quentin Cappart, Tias Guns, Michele Lombardi, Gilles Pesant, Dimos Tsouros
2025 — conf
Constrained Machine Learning Through Hyperspherical Representation.
CPAIOR (2)
Gaetano Signorelli, Michele Lombardi
2025 J jnl
Constrained Machine Learning Through Hyperspherical Representation.
CoRR
Gaetano Signorelli, Michele Lombardi
2025 — conf
Dance Choreography Driven by Swarm Intelligence in Extended Reality Scenarios: Perspectives and Implications.
AIxVR
Michele Braccini, Allegra De Filippo, Michele Lombardi, Michela Milano
2025 J jnl
Data science meets optimization II.
Ann. Math. Artif. Intell.
Yingqian Zhang, Tias Guns, Michele Lombardi, Patrick De Causmaecker
2025 A* conf
Language Models Are Implicitly Continuous.
ICLR
Samuele Marro, Davide Evangelista, X. Angelo Huang, Emanuele La Malfa, Michele Lombardi, Michael J. Wooldridge
2025 J jnl
Language Models Are Implicitly Continuous.
CoRR
Samuele Marro, Davide Evangelista, X. Angelo Huang, Emanuele La Malfa, Michele Lombardi, Michael J. Wooldridge
2025 J jnl
Robust Non-Linear Correlations via Polynomial Regression.
CoRR
Luca Giuliani, Michele Lombardi
2025 A* conf
SMLE: Safe Machine Learning via Embedded Overapproximation.
AAAI
Matteo Francobaldi, Michele Lombardi
2025 J jnl
SMiLE: Provably Enforcing Global Relational Properties in Neural Networks.
CoRR
Matteo Francobaldi, Michele Lombardi, Andrea Lodi
2025 J jnl
Scalable Decision Focused Learning via Online Trainable Surrogates.
CoRR
Gaetano Signorelli, Michele Lombardi
2025 — conf
Towards a Human-in-the-Loop Framework for Swarm Intelligence-Driven Dance Generation.
ICIAP (Workshops 1)
Michele Braccini, Allegra De Filippo, Michele Lombardi, Michela Milano
2024 — conf
Benchmarking in Neuro-Symbolic AI.
IJCLR
Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Singh Dhami, Michelangelo Diligenti, Sebastijan Dumancic, Boi Faltings, Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola, Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Salvatore Lorello, Emanuele Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi, Stefano Teso, Neil Yorke-Smith, Marco Lippi
2024 A* conf
Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method.
IJCAI
Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
2024 J jnl
GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation Using Bayesian Learning.
IEEE Trans. Mob. Comput.
Marco Skocaj, Lorenzo Mario Amorosa, Michele Lombardi, Roberto Verdone
2024 — conf
Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes.
AEQUITAS@ECAI
Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele Lombardi
2024 J jnl
SMLE: Safe Machine Learning via Embedded Overapproximation.
CoRR
Matteo Francobaldi, Michele Lombardi
2024 — conf
Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation.
CREAI@ECAI
Michele Braccini, Allegra De Filippo, Michele Lombardi, Michela Milano
2024 — conf
Trustworthiness of AI in Planning and Scheduling: The Experience of the TUPLES Project.
DSA ISC (2)
Angelo Gordini, Matteo Pozzi, Michele Lombardi, Thomas Sergeys, Tias Guns, Andrea De Cesarei, Sofia Morandini, Sylvie Thiébaux
2024 J jnl
UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems.
Knowl. Based Syst.
Mattia Silvestri, Allegra De Filippo, Michele Lombardi, Michela Milano
2023 — conf
A geometric framework for fairness.
AEQUITAS@ECAI
Alessandro Maggio, Luca Giuliani, Roberta Calegari, Michele Lombardi, Michela Milano
2023 — conf
An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations.
ICCS (4)
Mattia Silvestri, Federico Baldo, Eleonora Misino, Michele Lombardi
2023 J jnl
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations.
CoRR
Mattia Silvestri, Federico Baldo, Eleonora Misino, Michele Lombardi
2023 A* conf
Computational Asymmetries in Robust Classification.
ICML
Samuele Marro, Michele Lombardi
2023 J jnl
Computational Asymmetries in Robust Classification.
CoRR
Samuele Marro, Michele Lombardi
2023 — conf
FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System.
AEQUITAS@ECAI
Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
2023 A* conf
Generalized Disparate Impact for Configurable Fairness Solutions in ML.
ICML
Luca Giuliani, Eleonora Misino, Michele Lombardi
2023 J jnl
Generalized Disparate Impact for Configurable Fairness Solutions in ML.
CoRR
Luca Giuliani, Eleonora Misino, Michele Lombardi
2023 J jnl
QAL-BP: An Augmented Lagrangian Quantum Approach for Bin Packing Problem.
CoRR
Lorenzo Cellini, Antonio Macaluso, Michele Lombardi
2023 J jnl
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning.
CoRR
Mattia Silvestri, Senne Berden, Jayanta Mandi, Ali Irfan Mahmutogullari, Maxime Mulamba, Allegra De Filippo, Tias Guns, Michele Lombardi
2022 J jnl
Data-Driven Combinatorial Optimisation (Dagstuhl Seminar 22431).
Dagstuhl Reports
Emma Frejinger, Andrea Lodi, Michele Lombardi, Neil Yorke-Smith
2022 B conf
Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning.
CPAIOR
Mattia Silvestri, Allegra De Filippo, Federico Ruggeri, Michele Lombardi
2022 — conf
Informed Deep Learning for Epidemics Forecasting.
PAIS@ECAI
Federico Baldo, Michele Iannello, Michele Lombardi, Michela Milano
2022 J jnl
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens.
CoRR
Stefano Teso, Laurens Bliek, Andrea Borghesi, Michele Lombardi, Neil Yorke-Smith, Tias Guns, Andrea Passerini
2022 C conf
Strategies for Improving the Error Robustness of Convolutional Neural Networks.
QRS
António Morais, Raul Barbosa, Nuno Lourenço, Frederico Cerveira, Michele Lombardi, Henrique Madeira
2022 — conf
Supervised Anomaly Detection in Crude Oil Stabilization.
PAIS@ECAI
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
2022 — conf
Towards Smart Cities for Tourism: the POLIS-EYE Project.
ISC2
Alessandro Seravalli, Mariaelena Busani, Simone Venturi, Arianna Brutti, Carlo Petrovich, Angelo Frascella, Fabrizio Paolucci, Marco Di Felice, Michele Lombardi, Elena Bellodi, Riccardo Zese, Francesco Bertasi, Elia Balugani, Alket Cecaj, Rita Gamberini, Marco Mamei, Marco Picone
2022 J jnl
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning.
CoRR
Mattia Silvestri, Allegra De Filippo, Michele Lombardi, Michela Milano
2021 A* conf
Contrastive Losses and Solution Caching for Predict-and-Optimize.
IJCAI
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
2021 J jnl
Deep Learning for Virus-Spreading Forecasting: a Brief Survey.
CoRR
Federico Baldo, Lorenzo Dall'olio, Mattia Ceccarelli, Riccardo Scheda, Michele Lombardi, Andrea Borghesi, Stefano Diciotti, Michela Milano
2021 B conf
Injecting Domain Knowledge in Neural Networks: A Controlled Experiment on a Constrained Problem.
CPAIOR
Mattia Silvestri, Michele Lombardi, Michela Milano
2021 J jnl
Integrated Offline and Online Decision Making under Uncertainty.
J. Artif. Intell. Res.
Allegra De Filippo, Michele Lombardi, Michela Milano
2021 J jnl
Preface.
Ann. Math. Artif. Intell.
Yingqian Zhang, Michele Lombardi, Patrick De Causmaecker
2021 — conf
Robust Optimization Models For Local Flexibility Characterization of Virtual Power Plants.
AI*IA
Allegra De Filippo, Michele Lombardi, Michela Milano
2021 A* conf
Teaching the Old Dog New Tricks: Supervised Learning with Constraints.
AAAI
Fabrizio Detassis, Michele Lombardi, Michela Milano
2020 J jnl
A Lagrangian Dual Framework for Deep Neural Networks with Constraints.
CoRR
Ferdinando Fioretto, Terrence W. K. Mak, Federico Baldo, Michele Lombardi, Pascal Van Hentenryck
2020 — conf
An Analysis of Regularized Approaches for Constrained Machine Learning.
TAILOR
Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano
2020 J jnl
An Analysis of Regularized Approaches for Constrained Machine Learning.
CoRR
Michele Lombardi, Federico Baldo, Andrea Borghesi, Michela Milano
2020 J jnl
Combining Learning and Optimization for Transprecision Computing.
CoRR
Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano
2020 — conf
Combining learning and optimization for transprecision computing.
CF
Andrea Borghesi, Giuseppe Tagliavini, Michele Lombardi, Luca Benini, Michela Milano
2020 J jnl
Discrete solution pools and noise-contrastive estimation for predict-and-optimize.
CoRR
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns
2020 A conf
Hybrid Offline/Online Optimization Under Uncertainty.
ECAI
Allegra De Filippo, Michele Lombardi, Michela Milano
2020 J jnl
Injecting Domain Knowledge in Neural Networks: a Controlled Experiment on a Constrained Problem.
CoRR
Mattia Silvestri, Michele Lombardi, Michela Milano
2020 — conf
Injecting domain knowledge in neural networks: a controlled experiment on a constrained problem.
NeHuAI@ECAI
Mattia Silvestri, Michele Lombardi, Michela Milano
2020 — conf
Injective Domain Knowledge in Neural Networks for Transprecision Computing.
LOD (1)
Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano
2020 J jnl
Injective Domain Knowledge in Neural Networks for Transprecision Computing.
CoRR
Andrea Borghesi, Federico Baldo, Michele Lombardi, Michela Milano
2020 — conf
Lagrangian Duality for Constrained Deep Learning.
ECML/PKDD (5)
Ferdinando Fioretto, Pascal Van Hentenryck, Terrence W. K. Mak, Cuong Tran, Federico Baldo, Michele Lombardi
2020 J jnl
Teaching the Old Dog New Tricks: Supervised Learning with Constraints.
CoRR
Fabrizio Detassis, Michele Lombardi, Michela Milano
2020 — conf
Teaching the old dog new tricks: supervised learning with constraints.
NeHuAI@ECAI
Fabrizio Detassis, Michele Lombardi, Michela Milano
2020 A* conf
The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty.
IJCAI
Allegra De Filippo, Michele Lombardi, Michela Milano
2019 B conf
A Sampling-Free Anticipatory Algorithm for the Kidney Exchange Problem.
CPAIOR
Danuta Sorina Chisca, Michele Lombardi, Michela Milano, Barry O'Sullivan
2019 J jnl
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems.
Eng. Appl. Artif. Intell.
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2019 A* conf
Anomaly Detection Using Autoencoders in High Performance Computing Systems.
AAAI
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2019 — conf
Anomaly Detection using Autoencoders in High Performance Computing Systems.
DDC@AI*IA
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2019 — conf
How to Tame Your Anticipatory Algorithm.
DDC@AI*IA
Allegra De Filippo, Michele Lombardi, Michela Milano
2019 A* conf
How to Tame Your Anticipatory Algorithm.
IJCAI
Allegra De Filippo, Michele Lombardi, Michela Milano
2019 A conf
Logic-Based Benders Decomposition for Super Solutions: An Application to the Kidney Exchange Problem.
CP
Danuta Sorina Chisca, Michele Lombardi, Michela Milano, Barry O'Sullivan
2018 J jnl
Anomaly Detection using Autoencoders in High Performance Computing Systems.
CoRR
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2018 A* conf
Boosting Combinatorial Problem Modeling with Machine Learning.
IJCAI
Michele Lombardi, Michela Milano
2018 J jnl
Boosting Combinatorial Problem Modeling with Machine Learning.
CoRR
Michele Lombardi, Michela Milano
2018 B conf
From Offline to Online Kidney Exchange Optimization.
ICTAI
Danuta Sorina Chisca, Michele Lombardi, Michela Milano, Barry O'Sullivan
2018 J jnl
How efficient is a global constraint in practice? - A fair experimental framework.
Constraints An Int. J.
Sascha Van Cauwelaert, Michele Lombardi, Pierre Schaus
2018 A* conf
Methods for off-line/on-line optimization under uncertainty.
IJCAI
Allegra De Filippo, Michele Lombardi, Michela Milano
2018 B conf
Model Agnostic Solution of CSPs via Deep Learning: A Preliminary Study.
CPAIOR
Andrea Galassi, Michele Lombardi, Paola Mello, Michela Milano
2018 B conf
Off-Line and On-Line Optimization Under Uncertainty: A Case Study on Energy Management.
CPAIOR
Allegra De Filippo, Michele Lombardi, Michela Milano
2018 J jnl
Scheduling-based power capping in high performance computing systems.
Sustain. Comput. Informatics Syst.
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2017 J jnl
A Visual Web Tool to Perform What-If Analysis of Optimization Approaches.
CoRR
Sascha Van Cauwelaert, Michele Lombardi, Pierre Schaus
2017 J jnl
Empirical decision model learning.
Artif. Intell.
Michele Lombardi, Michela Milano, Andrea Bartolini
2017 B ed.
Integration of AI and OR Techniques in Constraint Programming - 14th International Conference, CPAIOR 2017, Padua, Italy, June 5-8, 2017, Proceedings
CPAIOR
Domenico Salvagnin, Michele Lombardi
2017 J jnl
Introduction to the CPAIOR 2017 fast track issue.
Constraints An Int. J.
Domenico Salvagnin, Michele Lombardi
2017 — conf
Robust Optimization for Virtual Power Plants.
AI*IA
Allegra De Filippo, Michele Lombardi, Michela Milano, Alberto Borghetti
2016 J jnl
A Constraint Programming Scheduler for Heterogeneous High-Performance Computing Machines.
IEEE Trans. Parallel Distributed Syst.
Thomas Bridi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2016 J jnl
A lagrangian propagator for artificial neural networks in constraint programming.
Constraints An Int. J.
Michele Lombardi, Stefano Gualandi
2016 — conf
DARDIS: Distributed And Randomized DIspatching and Scheduling.
AI*IA
Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano
2016 A conf
DARDIS: Distributed And Randomized DIspatching and Scheduling.
ECAI
Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano
2016 B conf
Non-linear Optimization of Business Models in the Electricity Market.
CPAIOR
Allegra De Filippo, Michele Lombardi, Michela Milano
2016 C conf
Predictive Modeling for Job Power Consumption in HPC Systems.
ISC
Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2016 A conf
The Multirate Resource Constraint.
CP
Alessio Bonfietti, Alessandro Zanarini, Michele Lombardi, Michela Milano
2015 — conf
A CP Scheduler for High-Performance Computers.
DC@AI*IA
Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano
2015 A conf
Deterministic Estimation of the Expected Makespan of a POS Under Duration Uncertainty.
CP
Michele Lombardi, Alessio Bonfietti, Michela Milano
2015 B conf
Embedding Decision Trees and Random Forests in Constraint Programming.
CPAIOR
Alessio Bonfietti, Michele Lombardi, Michela Milano
2015 — conf
MS3: A Mediterranean-stile job scheduler for supercomputers - do less when it's too hot!
HPCS
Andrea Borghesi, Christian Conficoni, Michele Lombardi, Andrea Bartolini
2015 A conf
Power Capping in High Performance Computing Systems.
CP
Andrea Borghesi, Francesca Collina, Michele Lombardi, Michela Milano, Luca Benini
2015 B conf
Understanding the Potential of Propagators.
CPAIOR
Sascha Van Cauwelaert, Michele Lombardi, Pierre Schaus
2014 J jnl
CROSS cyclic resource-constrained scheduling solver.
Artif. Intell.
Alessio Bonfietti, Michele Lombardi, Luca Benini, Michela Milano
2014 B conf
Cost Impact Guided LNS.
CPAIOR
Michele Lombardi, Pierre Schaus
2014 B conf
Disregarding Duration Uncertainty in Partial Order Schedules? Yes, We Can!
CPAIOR
Alessio Bonfietti, Michele Lombardi, Michela Milano
2014 A conf
Proactive Workload Dispatching on the EURORA Supercomputer.
CP
Andrea Bartolini, Andrea Borghesi, Thomas Bridi, Michele Lombardi, Michela Milano
2014 J jnl
Strategic decision making on complex systems.
Constraints An Int. J.
Michela Milano, Michele Lombardi
2013 A* conf
A Min-Flow Algorithm for Minimal Critical Set Detection in Resource Constrained Project Scheduling.
ICAPS
Michele Lombardi, Michela Milano
2013 A conf
A New Propagator for Two-Layer Neural Networks in Empirical Model Learning.
CP
Michele Lombardi, Stefano Gualandi
2013 A conf
A Simple and Effective Decomposition for the Multidimensional Binpacking Constraint.
CP
Stefano Gualandi, Michele Lombardi
2013 A* conf
De-Cycling Cyclic Scheduling Problems.
ICAPS
Alessio Bonfietti, Michele Lombardi, Michela Milano
2013 J jnl
Maximum-throughput mapping of SDFGs on multi-core SoC platforms.
J. Parallel Distributed Comput.
Alessio Bonfietti, Michele Lombardi, Michela Milano, Luca Benini
2013 J jnl
Robust Scheduling of Task Graphs under Execution Time Uncertainty.
IEEE Trans. Computers
Michele Lombardi, Michela Milano, Luca Benini
2012 J jnl
A min-flow algorithm for Minimal Critical Set detection in Resource Constrained Project Scheduling.
Artif. Intell.
Michele Lombardi, Michela Milano
2012 B conf
Global Cyclic Cumulative Constraint.
CPAIOR
Alessio Bonfietti, Michele Lombardi, Luca Benini, Michela Milano
2012 J jnl
Optimal methods for resource allocation and scheduling: a cross-disciplinary survey.
Constraints An Int. J.
Michele Lombardi, Michela Milano
2012 A* conf
Optimization and Controlled Systems: A Case Study on Thermal Aware Workload Dispatching.
AAAI
Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2012 — ed.
Proceedings of the Doctoral Consortium of the 12th Symposium of the Italian Association for Artificial Intelligence, Rome, Italy, June 15, 2012
DC@AI*IA
Paolo Liberatore, Michele Lombardi, Floriano Scioscia
2012 A conf
The Weighted Average Constraint.
CP
Alessio Bonfietti, Michele Lombardi
2011 A conf
A Constraint Based Approach to Cyclic RCPSP.
CP
Alessio Bonfietti, Michele Lombardi, Luca Benini, Michela Milano
2011 J jnl
Deriving Information from Sampling and Diving.
Fundam. Informaticae
Michele Lombardi, Michela Milano, Andrea Roli, Alessandro Zanarini
2011 — conf
MPOpt-Cell: a high-performance data-flow programming environment for the CELL BE processor.
Conf. Computing Frontiers
Alessio Franceschelli, Paolo Burgio, Giuseppe Tagliavini, Andrea Marongiu, Martino Ruggiero, Michele Lombardi, Alessio Bonfietti, Michela Milano, Luca Benini
2011 A conf
Neuron Constraints to Model Complex Real-World Problems.
CP
Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini
2011 J jnl
Optimal resource allocation and scheduling for the CELL BE platform.
Ann. Oper. Res.
Luca Benini, Michele Lombardi, Michela Milano, Martino Ruggiero
2011 B conf
Precedence Constraint Posting for Cyclic Scheduling Problems.
CPAIOR
Michele Lombardi, Alessio Bonfietti, Michela Milano, Luca Benini
2010 J jnl
Allocation and scheduling of Conditional Task Graphs.
Artif. Intell.
Michele Lombardi, Michela Milano
2010 A conf
An efficient and complete approach for throughput-maximal SDF allocation and scheduling on multi-core platforms.
DATE
Alessio Bonfietti, Luca Benini, Michele Lombardi, Michela Milano
2010 A conf
Constraint Based Scheduling to Deal with Uncertain Durations and Self-Timed Execution.
CP
Michele Lombardi, Michela Milano
2010 Misc conf
Discrepancy-Based Sliced Neighborhood Search.
AIMSA
Fabio Parisini, Michele Lombardi, Michela Milano
2010 — —
Hybrid Methods for Resource Allocation and Scheduling Problems in Deterministic and Stochastic Environments.
Michele Lombardi
2010 C conf
Methods for Designing Reliable Probe Arrays.
BIBE
Michele Lombardi, Luca Benini, Abhishek Garg, Giovanni De Micheli
2010 J jnl
Stochastic allocation and scheduling for conditional task graphs in multi-processor systems-on-chip.
J. Sched.
Michele Lombardi, Michela Milano, Martino Ruggiero, Luca Benini
2009 A conf
A Precedence Constraint Posting Approach for the RCPSP with Time Lags and Variable Durations.
CP
Michele Lombardi, Michela Milano
2009 — conf
Deriving Information from Sampling and Diving.
AI*IA
Michele Lombardi, Michela Milano, Andrea Roli, Alessandro Zanarini
2009 A conf
Robust non-preemptive hard real-time scheduling for clustered multicore platforms.
DATE
Michele Lombardi, Michela Milano, Luca Benini
2009 B conf
Throughput Constraint for Synchronous Data Flow Graphs.
CPAIOR
Alessio Bonfietti, Michele Lombardi, Michela Milano, Luca Benini
2008 A conf
A Constraint Programming Approach for Allocation and Scheduling on the CELL Broadband Engine.
CP
Luca Benini, Michele Lombardi, Michela Milano, Martino Ruggiero
2008 C conf
Cellflow: A Parallel Application Development Environment with Run-Time Support for the Cell BE Processor.
DSD
Martino Ruggiero, Michele Lombardi, Michela Milano, Luca Benini
2008 B conf
Multi-stage Benders Decomposition for Optimizing Multicore Architectures.
CPAIOR
Luca Benini, Michele Lombardi, Marco Mantovani, Michela Milano, Martino Ruggiero
2007 Misc conf
Communication-aware stochastic allocation and scheduling framework for conditional task graphs in multi-processor systems-on-chip.
EMSOFT
Emiliano Dolif, Michele Lombardi, Martino Ruggiero, Michela Milano, Luca Benini
2007 A* conf
Optimal Multi-Agent Scheduling with Constraint Programming.
AAAI
Willem Jan van Hoeve, Carla P. Gomes, Bart Selman, Michele Lombardi
2007 A conf
Scheduling Conditional Task Graphs.
CP
Michele Lombardi, Michela Milano
2006 A conf
Stochastic Allocation and Scheduling for Conditional Task Graphs in MPSoCs.
CP
Michele Lombardi, Michela Milano