Documents publiés en "2026"

Article de revue

Ferraz, A., Ahmed, C. A., Cappart, Q., & Vidal, T. (2026). Deep Learning for Data-Driven Districting-and-Routing. Transportation Science, 60(3), 424-444. Lien externe

Nekooghadirli, N., Gendreau, M., Potvin, J.-Y., & Vidal, T. (2026). Workload equity in multiperiod vehicle routing problems. International Transactions in Operational Research, 33(1), 245-267. Disponible

Serrano, B., Florio, A. M., Minner, S., Schiffer, M., & Vidal, T. (2026). Contextual Stochastic Vehicle Routing with Time Windows. INFORMS journal on computing. Lien externe

Serrano, B., Florio, A. M., Minner, S., Schiffer, M., & Vidal, T. (2026). Code and Data Repository for Contextual Stochastic Vehicle Routing with Time Windows. INFORMS journal on computing. Lien externe

Communication écrite

Gorgé, A., Ferry, J., Gambs, S., & Vidal, T. (mars 2026). Training Set Reconstruction from Differentially Private Forests: How Effective is DP? [Communication écrite]. Conference on Secure and Trustworthy Machine Learning (SaTML 2026), Munich, Germany. Lien externe

Jabbar Zare, Z., Aïvodji, U., Ferry, J., & Vidal, T. (octobre 2026). When Interpretability Is Unequally Distributed: Fairness in Hybrid Interpretable Models [Communication écrite]. 9th AAAI/ACM Conference on AI, Ethics, and Society (AIES-26), Malmö, Sweden. Publié dans Proceedings of the ... AAAI/ACM Conference on AI, Ethics, and Society, 9(2). Lien externe

Présentation

Vidal, T. (mai 2026). OR with a White Hat: Evidencing Privacy Vulnerabilities in ML Models [Présentation]. Dans BIRS Workshop, Banff, AB, Canada. Disponible