| Distributed constraint optimization problems and applications: A survey F Fioretto, E Pontelli, W Yeoh Journal of Artificial Intelligence Research 61, 623--698, 2018 | 165 | 2018 |
| 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 | 71 | 2017 |
| 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 | 70 | 2020 |
| 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 | 47 | 2017 |
| 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 | 36 | 2011 |
| Differential privacy for power grid obfuscation F Fioretto, TWK Mak, P Van Hentenryck IEEE Transactions on Smart Grid 11 (2), 1356-1366, 2019 | 34 | 2019 |
| 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 | 33 | 2016 |
| 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 | 33 | 2014 |
| 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 | 33 | 2014 |
| Exploring the use of GPUs in constraint solving F Campeotto, AD Palù, A Dovier, F Fioretto, E Pontelli International Symposium on Practical Aspects of Declarative Languages, 152-167, 2014 | 32 | 2014 |
| 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 | 28 | 2021 |
| Constrained-based differential privacy: Releasing optimal power flow benchmarks privately F Fioretto, P Van Hentenryck International Conference on the Integration of Constraint Programming …, 2018 | 25 | 2018 |
| 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 | 24 | 2020 |
| 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 | 24 | 2017 |
| 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 | 22 | 2020 |
| 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 | 22 | 2019 |
| Multi-Variable Agents Decomposition for DCOPs. F Fioretto, W Yeoh, E Pontelli AAAI, 2480-2486, 2016 | 22 | 2016 |
| Differential privacy of hierarchical Census data: An optimization approach F Fioretto, P Van Hentenryck, K Zhu Artificial Intelligence 296, 103475, 2021 | 21 | 2021 |
| Preference elicitation for DCOPs AM Tabakhi, T Le, F Fioretto, W Yeoh International Conference on Principles and Practice of Constraint …, 2017 | 21 | 2017 |
