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Michele Lombardi
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Anomaly detection using autoencoders in high performance computing systems
A Borghesi, A Bartolini, M Lombardi, M Milano, L Benini
Proceedings of the AAAI Conference on artificial intelligence 33 (01), 9428-9433, 2019
2512019
Empirical decision model learning
M Lombardi, M Milano, A Bartolini
Artificial Intelligence 244, 343-367, 2017
1132017
A semisupervised autoencoder-based approach for anomaly detection in high performance computing systems
A Borghesi, A Bartolini, M Lombardi, M Milano, L Benini
Engineering Applications of Artificial Intelligence 85, 634-644, 2019
1012019
Optimal methods for resource allocation and scheduling: a cross-disciplinary survey
M Lombardi, M Milano
Constraints 17, 51-85, 2012
962012
An efficient and complete approach for throughput-maximal SDF allocation and scheduling on multi-core platforms
A Bonfietti, L Benini, M Lombardi, M Milano
2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010á…, 2010
912010
Lagrangian duality for constrained deep learning
F Fioretto, P Van Hentenryck, TWK Mak, C Tran, F Baldo, M Lombardi
Machine Learning and Knowledge Discovery in Databases. Applied Data Scienceá…, 2021
722021
Boosting combinatorial problem modeling with machine learning
M Lombardi, M Milano
arXiv preprint arXiv:1807.05517, 2018
712018
Predictive modeling for job power consumption in HPC systems
A Borghesi, A Bartolini, M Lombardi, M Milano, L Benini
High Performance Computing: 31st International Conference, ISC Highá…, 2016
552016
Robust scheduling of task graphs under execution time uncertainty
M Lombardi, M Milano, L Benini
IEEE transactions on computers 62 (1), 98-111, 2011
492011
Embedding decision trees and random forests in constraint programming
A Bonfietti, M Lombardi, M Milano
Integration of AI and OR Techniques in Constraint Programming: 12thá…, 2015
482015
Throughput constraint for synchronous data flow graphs
A Bonfietti, M Lombardi, M Milano, L Benini
Integration of AI and OR Techniques in Constraint Programming forá…, 2009
442009
Contrastive losses and solution caching for predict-and-optimize
M Mulamba, J Mandi, M Diligenti, M Lombardi, V Bucarey, T Guns
arXiv preprint arXiv:2011.05354, 2020
422020
Stochastic allocation and scheduling for conditional task graphs in multi-processor systems-on-chip
M Lombardi, M Milano, M Ruggiero, L Benini
Journal of scheduling 13, 315-345, 2010
412010
Neuron constraints to model complex real-world problems
A Bartolini, M Lombardi, M Milano, L Benini
Principles and Practice of Constraint Programming–CP 2011: 17thá…, 2011
372011
Scheduling-based power capping in high performance computing systems
A Borghesi, A Bartolini, M Lombardi, M Milano, L Benini
Sustainable Computing: Informatics and Systems 19, 1-13, 2018
332018
Power capping in high performance computing systems
A Borghesi, F Collina, M Lombardi, M Milano, L Benini
Principles and Practice of Constraint Programming: 21st Internationalá…, 2015
322015
Ms3: A mediterranean-stile job scheduler for supercomputers-do less when it's too hot!
A Borghesi, C Conficoni, M Lombardi, A Bartolini
2015 International Conference on High Performance Computing & Simulationá…, 2015
312015
A constraint programming scheduler for heterogeneous high-performance computing machines
T Bridi, A Bartolini, M Lombardi, M Milano, L Benini
IEEE transactions on parallel and distributed systems 27 (10), 2781-2794, 2016
302016
Teaching the old dog new tricks: Supervised learning with constraints
F Detassis, M Lombardi, M Milano
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 3742-3749, 2021
292021
Multi-stage Benders decomposition for optimizing multicore architectures
L Benini, M Lombardi, M Mantovani, M Milano, M Ruggiero
Integration of AI and OR Techniques in Constraint Programming forá…, 2008
272008
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