Quentin Cappart
Cited by
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Combinatorial optimization and reasoning with graph neural networks
Q Cappart, D Chételat, E Khalil, A Lodi, C Morris, P Veličković
Journal of Machine Learning Research 24 (130), 1--61, 2023
Learning the travelling salesperson problem requires rethinking generalization
CK Joshi, Q Cappart, LM Rousseau, T Laurent
Constraints 27 (1), 70-98, 2022
Combining reinforcement learning and constraint programming for combinatorial optimization
Q Cappart, T Moisan, LM Rousseau, I Prémont-Schwarz, AA Cire
Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 3677-3687, 2021
OscaR: Scala in OR, 2012
OR Team
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning
Q Cappart, E Goutierre, D Bergman, LM Rousseau
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1443 …, 2019
Verification of railway interlocking systems
S Busard, Q Cappart, C Limbrée, C Pecheur, P Schaus
Electronic Proceedings in Theoretical Computer Science 184, 19-31, 2015
Verification of railway interlocking-compositional approach with OCRA
C Limbrée, Q Cappart, C Pecheur, S Tonetta
Reliability, Safety, and Security of Railway Systems. Modelling, Analysis …, 2016
Verification of interlocking systems using statistical model checking
Q Cappart, C Limbrée, P Schaus, J Quilbeuf, LM Traonouez, A Legay
2017 IEEE 18th International Symposium on High Assurance Systems Engineering …, 2017
Seapearl: A constraint programming solver guided by reinforcement learning
F Chalumeau, I Coulon, Q Cappart, LM Rousseau
Integration of Constraint Programming, Artificial Intelligence, and …, 2021
The machine learning for combinatorial optimization competition (ml4co): Results and insights
M Gasse, S Bowly, Q Cappart, J Charfreitag, L Charlin, D Chételat, ...
NeurIPS 2021 competitions and demonstrations track, 220-231, 2022
A constraint programming approach for solving patient transportation problems
Q Cappart, C Thomas, P Schaus, LM Rousseau
Principles and Practice of Constraint Programming: 24th International …, 2018
Improving variable orderings of approximate decision diagrams using reinforcement learning
Q Cappart, D Bergman, LM Rousseau, I Prémont-Schwarz, A Parjadis
INFORMS Journal on Computing 34 (5), 2552-2570, 2022
How to evaluate machine learning approaches for combinatorial optimization: Application to the travelling salesman problem
A François, Q Cappart, LM Rousseau
arXiv preprint arXiv:1909.13121, 2019
Improving branch-and-bound using decision diagrams and reinforcement learning
A Parjadis, Q Cappart, LM Rousseau, D Bergman
Integration of Constraint Programming, Artificial Intelligence, and …, 2021
Peel-And-Bound: Generating Stronger Relaxed Bounds with Multivalued Decision Diagrams
I Rudich, Q Cappart, LM Rousseau
28th International Conference on Principles and Practice of Constraint …, 2022
Rescheduling railway traffic on real time situations using time-interval variables
Q Cappart, P Schaus
Integration of AI and OR Techniques in Constraint Programming: 14th …, 2017
Verification by discrete simulation of interlocking systems
Q Cappart, C Limbrée, P Schaus, A Legay
29th Annual European Simulation and Modelling Conference 2015, 402-409, 2015
A dedicated algorithm for verification of interlocking systems
Q Cappart, P Schaus
Computer Safety, Reliability, and Security: 35th International Conference …, 2016
The World Migration Network: rankings, groups and gravity models
Q Cappart, A Thonet
IEEE EUROCON 2015-International Conference on Computer as a Tool (EUROCON), 1-6, 2015
Improved peel-and-bound: Methods for generating dual bounds with multivalued decision diagrams
I Rudich, Q Cappart, LM Rousseau
Journal of Artificial Intelligence Research 77, 1489-1538, 2023
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