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Ferdinando Fioretto
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Distributed constraint optimization problems and applications: A survey
F Fioretto, E Pontelli, W Yeoh
Journal of Artificial Intelligence Research 61, 623--698, 2018
1652018
A multiagent system approach to scheduling devices in smart homes
F Fioretto, W Yeoh, E Pontelli
Proceedings of the International Joint Conference on Autonomous Agents and†…, 2017
712017
Predicting AC optimal power flows: Combining deep learning and Lagrangian dual methods
F Fioretto, TWK Mak, P Van Hentenryck
Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 630-637, 2020
702020
A distributed constraint optimization (DCOP) approach to the economic dispatch with demand response
F Fioretto, W Yeoh, E Pontelli, Y Ma, SJ Ranade
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent†…, 2017
472017
High-frequency oscillatory ventilation attenuates oxidative lung injury in a rabbit model of acute lung injury
CF Ronchi, AL dos Anjos Ferreira, FJ Campos, CS Kurokawa, MF Carpi, ...
Experimental Biology and Medicine 236 (10), 1188-1196, 2011
362011
Differential privacy for power grid obfuscation
F Fioretto, TWK Mak, P Van Hentenryck
IEEE Transactions on Smart Grid 11 (2), 1356-1366, 2019
342019
Proactive dynamic distributed constraint optimization
K Hoang, F Fioretto, P Hou, M Yokoo, W Yeoh, R Zivan
Proceedings of the International Joint Conference on Autonomous Agents and†…, 2016
332016
Improving DPOP with Branch Consistency for Solving Distributed Constraint Optimization Problems
F Fioretto, T Le, W Yeoh, E Pontelli, TC Son
Principles and Practice of Constraint Programming, 307-323, 2014
332014
A GPU Implementation of Large Neighborhood Search for Solving Constraint Optimization Problems
F Campeotto, A Dovier, F Fioretto, E Pontelli
European Conference on Artificial Intelligence (ECAI), 189–194, 2014
332014
Exploring the use of GPUs in constraint solving
F Campeotto, AD Palý, A Dovier, F Fioretto, E Pontelli
International Symposium on Practical Aspects of Declarative Languages, 152-167, 2014
322014
End-to-End Constrained Optimization Learning: A Survey
J Kotary, F Fioretto, P Van Hentenryck, B Wilder
International Joint Conference on Artificial Intelligence (IJCAI) 2021, 4475†…, 2021
282021
Constrained-based differential privacy: Releasing optimal power flow benchmarks privately
F Fioretto, P Van Hentenryck
International Conference on the Integration of Constraint Programming†…, 2018
252018
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach
C Tran, F Fioretto, P Van Hentenryck
Proceedings of the AAAI Conference on Artificial Intelligence 35, 9932-9939, 2020
242020
Lagrangian duality for constrained deep learning
F Fioretto, P Van Hentenryck, TWK Mak, C Tran, F Baldo, M Lombardi
Joint European Conference on Machine Learning and Knowledge Discovery in†…, 2020
24*2020
Infinite-horizon proactive dynamic DCOPs
KD Hoang, P Hou, F Fioretto, W Yeoh, R Zivan, M Yokoo
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent†…, 2017
242017
High-fidelity machine learning approximations of large-scale optimal power flow
M Chatzos, F Fioretto, TWK Mak, P Van Hentenryck
arXiv preprint arXiv:2006.16356, 2020
222020
Privacy-preserving power system obfuscation: A bilevel optimization approach
TWK Mak, F Fioretto, L Shi, P Van Hentenryck
IEEE Transactions on Power Systems 35 (2), 1627-1637, 2019
222019
Multi-Variable Agents Decomposition for DCOPs.
F Fioretto, W Yeoh, E Pontelli
AAAI, 2480-2486, 2016
222016
Differential privacy of hierarchical Census data: An optimization approach
F Fioretto, P Van Hentenryck, K Zhu
Artificial Intelligence 296, 103475, 2021
212021
Preference elicitation for DCOPs
AM Tabakhi, T Le, F Fioretto, W Yeoh
International Conference on Principles and Practice of Constraint†…, 2017
212017
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