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Gupta, P., Gasse, M., Khalil, E. B., Kumar, M. P., Lodi, A., & Bengio, Y. (2020, December). Hybrid models for learning to branch [Paper]. 34th Conference on neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada (11 pages). External link
Gupta, P., Gasse, M., Khalil, E. B., Kumar, M. P., Lodi, A., & Bengio, Y. (2020, December). Supplement: Hybrid models for learning to branch [Paper]. 34th Conference on neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada (8 pages). External link
Gasse, M., Chetelat, D., Ferroni, N., Charlin, L., & Lodi, A. (2019, December). Exact Combinatorial Optimization with Graph Convolutional Neural Networks [Paper]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, B.-C. (13 pages). External link
Müller, B., Muñoz, G., Gasse, M., Gleixner, A., Lodi, A., & Serrano, F. (2021). On generalized surrogate duality in mixed-integer nonlinear programming. Mathematical Programming, 2021, 1-30. Available
Milecki, L., Porée, J., Belgharbi, H., Bourquin, C., Damseh, R., Delafontaine-Martel, P., Lesage, F., Gasse, M., & Provost, J. (2021). A deep learning framework for spatiotemporal ultrasound localization microscopy. IEEE Transactions on Medical Imaging, 40(5), 1428-1437. External link
Muller, B., Munoz, G., Gasse, M., Gleixner, A., Lodi, A., & Serrano, F. (2020, June). On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming [Paper]. 21st International Conference on Integer Programming and Combinatorial Optimization (IPCO 2020), London, United Kingdom. External link
