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Gasse, M., & Lodi, A. (2022). Machine Learning for Combinatorial Optimization. Dans Pardalos, P. M., & Prokopyev, O. A. (édit.), Encyclopedia of Optimization (p. 1-13). Lien externe
Müller, B., Muñoz, G., Gasse, M., Gleixner, A., Lodi, A., & Serrano, F. (2022). On generalized surrogate duality in mixed-integer nonlinear programming. Mathematical Programming, 2021(1-2), 1-30. Disponible
Rastgar Amini, F., Contardo, C., Desaulniers, G., & Gasse, M. (2022). Learning to enumerate shifts for large-scale flexible personnel scheduling problems. (Rapport technique n° G-2022-29). Lien externe
Scavuzzo, L., Chetelat, D., Lodi, A., Chen, F. Y., Gasse, M., Yorke-Smith, N., & Aardal, K. (novembre 2022). Learning to Branch with Tree MDPs [Affiche]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. Lien externe
Scavuzzo, L., Chetelat, D., Lodi, A., Chen, F. Y., Gasse, M., Yorke-Smith, N., & Aardal, K. (novembre 2022). Learning to Branch with Tree MDPs [Présentation]. Dans 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA. Lien externe
