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Collaborations and top research areas from the last five years
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Learning Primal Heuristics for 0–1 Knapsack Interdiction Problems
Ferrarini, L., Gualandi, S., Moro, L. & Parmentier, A., 1 Jan 2025, Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 22nd International Conference, CPAIOR 2025, Proceedings. Tack, G. (ed.). Springer Science and Business Media Deutschland GmbH, p. 222-238 17 p. (Lecture Notes in Computer Science; vol. 15762 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Learning structured approximations of combinatorial optimization problems
Parmentier, A., 1 Jan 2025, In: Open Journal of Mathematical Optimization. 6, 10.Research output: Contribution to journal › Article › peer-review
Open Access -
WARDROPNET: TRAFFIC FLOW PREDICTIONS VIA EQUILIBRIUM-AUGMENTED LEARNING
Jungel, K., Paccagnan, D., Parmentier, A. & Schiffer, M., 1 Jan 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 12771-12802 32 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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CF-OPT: Counterfactual Explanations for Structured Prediction
Vivier-Ardisson, G., Forel, A., Parmentier, A. & Vidal, T., 1 Jan 2024, In: Proceedings of Machine Learning Research. 235, p. 49558-49579 22 p.Research output: Contribution to journal › Conference article › peer-review
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Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows
Baty, L., Jungel, K., Klein, P. S., Parmentier, A. & Schiffer, M., 1 Jan 2024, In: Transportation Science. 58, 4, p. 708-725 18 p.Research output: Contribution to journal › Article › peer-review
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DISTRICTNET: Decision-aware learning for geographical districting
Ahmed, C., Forel, A., Parmentier, A. & Vidal, T., 1 Jan 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Don’t Explain Noise: Robust Counterfactuals for Randomized Ensembles
Forel, A., Parmentier, A. & Vidal, T., 1 Jan 2024, Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 21st International Conference, CPAIOR 2024, Proceedings. Dilkina, B. (ed.). Springer Science and Business Media Deutschland GmbH, p. 293-309 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14742 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Linear Lexicographic Optimization and Preferential Bidding System
Tellache, N. E. H., Meunier, F. & Parmentier, A., 1 Jan 2024, In: Transportation Science. 58, 3, p. 597-613 17 p.Research output: Contribution to journal › Article › peer-review
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Predicting Lagrangian Multipliers for Mixed Integer Linear Programs
Demelas, F., Le Roux, J., Lacroix, M. & Parmentier, A., 1 Jan 2024, In: Proceedings of Machine Learning Research. 235, p. 10368-10384 17 p.Research output: Contribution to journal › Conference article › peer-review
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Solving a Continent-Scale Inventory Routing Problem at Renault
Bouvier, L., Dalle, G., Parmentier, A. & Vidal, T., 1 Jan 2024, In: Transportation Science. 58, 1, p. 131-151 21 p.Research output: Contribution to journal › Article › peer-review
Open Access