Manhaeve, Robin; Giannini, Francesco; Ali, Mehdi; Azzolini, Damiano; Bizzarri, Alice; Borghesi, Andrea; Bortolotti, Samuele; De Raedt, Luc; Dhami, Devendra; Diligenti, Michelangelo; Dumančić, Sebastijan; Faltings, Boi; Gentili, Elisabetta; Gerevini, Alfonso; Gori, Marco; Guns, Tias; Homola, Martin; Kersting, Kristian; Lehmann, Jens; Lombardi, Michele; Lorello, Luca; Marconato, Emanuele; Melacci, Stefano; Passerini, Andrea; Paul, Debjit; Riguzzi, Fabrizio; Teso, Stefano; Yorke-Smith, Neil; Lippi, Marco, Benchmarking in Neuro-Symbolic AI, in: Lecture Notes in Computer Science, Berlin, Heidelberg, Springer, 2026, 16059, pp. 238 - 249 (atti di: 4th International Joint Conference on Learning and Reasoning, IJCLR 2024, and 33rd International Conference on Inductive Logic Programming, ILP 2024, China, 20-22 September 2024) [Contribution to conference proceedings]
Silvestri, Mattia; Berden, Senne; Signorelli, Gaetano; Mahmutoğulları, Ali İrfan; Mandi, Jayanta; Amos, Brandon; Guns, Tias; Lombardi, Michele, Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning, «THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH», 2026, 85, Article number: 10 , pp. 1 - 34 [Scientific article]Open Access
Giuliani, Luca; Lombardi, Michele, Achieving Intersectional Algorithmic Fairness by Constructing a Maximal Correlation Latent Space, in: Frontiers in Artificial Intelligence and Applications, IOS Press BV, 2025, 413, pp. 2554 - 2561 (atti di: 28th European Conference on Artificial Intelligence, ECAI 2025, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025, ita, 2025) [Contribution to conference proceedings]Open Access
Cappart, Quentin; Guns, Tias; Lombardi, Michele; Pesant, Gilles; Tsouros, Dimos, Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities, «THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH», 2025, 84, Article number: 28 , pp. 1 - 52 [Scientific article]Open Access
Cincotta, C.; Pedroni, L.; Lombardi, M.; Nicoli, G.; Zingali, L. C.; Bragalli, C., Combining SCADA and smart meter data to improve anomaly detection at the DMA-level, in: New challenges in understanding and managing water-related risks in a changing environment – Proceedings of the 13th World Congress of EWRA on Water Resources and Environment, 2025, pp. 541 - 542 (atti di: 13th World Congress of the European Water Resources Association (EWRA 2025), Palermo, Italy, 24–28 June 2025) [Contribution to conference proceedings]Open Access
Signorelli, Gaetano; Lombardi, Michele, Constrained Machine Learning Through Hyperspherical Representation, in: Integration of Constraint Programming, Artificial Intelligence, and Operations Research. 22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10–13, 2025. Proceedings, Part II, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, Springer Science and Business Media Deutschland GmbH, 2025, 15763 LNCS, pp. 209 - 217 (atti di: 22nd International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, CPAIOR 2025, Melbourne, VIC, Australi, November 10–13, 2025) [Contribution to conference proceedings]
Braccini, Michele; De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Dance Choreography Driven by Swarm Intelligence in Extended Reality Scenarios: Perspectives and Implications, in: 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), 2025, pp. 348 - 354 (atti di: IEEE AIxVR 2025: 7th IEEE International Conference on Artificial Intelligence & eXtended and Virtual Reality, Lisbon, Portugal, 27-29 January 2025) [Contribution to conference proceedings]Open Access
Zhang, Yingqian; Guns, Tias; Lombardi, Michele; De Causmaecker, Patrick, Data science meets optimization II, in: Data science meets optimization II, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, Springer Science and Business Media Deutschland GmbH, 2025, pp. 343 - 345 [Preface]
Marro, Samuele; Evangelista, Davide; Angelo Huang, X.; La Malfa, Emanuele; Lombardi, Michele; Wooldridge, Michael J., Language Models Are Implicitly Continuous, in: The Thirteenth International Conference on Learning Representations, 2025, pp. 1 - 41 (atti di: ICLR2025 - The Thirteenth International Conference on Learning Representations, Singapore EXPO, 24/04/2025 - 28/04/2025) [Contribution to conference proceedings]Open Access
Francobaldi, Matteo; Lombardi, Michele, SMLE: Safe Machine Learning via Embedded Overapproximation, in: Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2025, 39, pp. 27286 - 27294 (atti di: 39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025, usa, 2025) [Contribution to conference proceedings]
Braccini, Michele; De Filippo, Allegra; Lombardi, Michele; Milano, Michela, Towards a Human-in-the-Loop Framework for Swarm Intelligence-Driven Dance Generation, in: Image Analysis and Processing – ICIAP 2025 Workshops, 2025, pp. 625 - 636 (atti di: 1st International Workshop on Humans in the eXtended Artificial Intelligence Loop (HUARL 2025) - ICIAP 2025, Roma, September 15–19, 2025) [Contribution to conference proceedings]
Gordini, A.; Pozzi, M.; Lombardi, M.; Sergeys, T.; Guns, T.; De Cesarei, A.; Morandini, S.; Thiébaux, S., Trustworthiness of AI in Planning and Scheduling: The Experience of the TUPLES Project, in: Decision Sciences. Second Decision Science Alliance International Summer Conference, DSA ISC 2024, Valencia, Spain, June 6–7, 2024, Proceedings, Part II, Charm, Springer Nature Switzerland AG, 2025, 14779, pp. 328 - 342 (atti di: 2nd Decision Science Alliance International Summer Conference, DSA ISC 2024, Valencia, June 6–7, 2024) [Contribution to conference proceedings]Open Access
Magnini, A.; Lombardi, M.; Ouarda, T. B. M. J.; Castellarin, A., Ai-driven morphoclimatic regional frequency modelling of sub-daily rainfall-extremes, «JOURNAL OF HYDROLOGY», 2024, 631, Article number: 130808 , pp. 1 - 16 [Scientific article]Open Access
Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano, Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method, in: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence AI for Good, IJCAI, 2024, pp. 7412 - 7420 (atti di: International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 8-14 Agosto 2024) [Contribution to conference proceedings]Open Access
Verdone, Roberto; Lombardi, Michele; Amorosa, Lorenzo Mario; Skocaj, Marco, GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation using Bayesian Learning, «IEEE TRANSACTIONS ON MOBILE COMPUTING», 2024, 23, pp. 13158 - 13171 [Scientific article]Open Access
