Exact combinatorial optimization with graph convolutional neural networks M Gasse, D Chételat, N Ferroni, L Charlin, A Lodi
Advances in Neural Information Processing Systems 32, 2019
525 2019 Combinatorial optimization and reasoning with graph neural networks Q Cappart, D Chételat, EB Khalil, A Lodi, C Morris, P Velickovic
J. Mach. Learn. Res. 24, 130:1-130:61, 2023
371 2023 Ecole: A gym-like library for machine learning in combinatorial optimization solvers A Prouvost, J Dumouchelle, L Scavuzzo, M Gasse, D Chételat, A Lodi
arXiv preprint arXiv:2011.06069, 2020
62 2020 Learning to Branch with Tree MDPs L Scavuzzo, FY Chen, D Chételat, M Gasse, A Lodi, N Yorke-Smith, ...
Advances in Neural Information Processing Systems 35, 2022
47 2022 Improved multivariate normal mean estimation with unknown covariance when D Chételat, MT Wells
29 2012 Learning to Compare Nodes in Branch and Bound with Graph Neural Networks AG Labassi, D Chételat, A Lodi
Advances in Neural Information Processing Systems 35, 2022
26 2022 Lookback for learning to branch P Gupta, EB Khalil, D Chetélat, M Gasse, Y Bengio, A Lodi, MP Kumar
arXiv preprint arXiv:2206.14987, 2022
24 2022 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
23 2022 Optimal two-step prediction in regression D Chételat, J Lederer, J Salmon
22 2017 The middle-scale asymptotics of Wishart matrices D Chételat, MT Wells
12 2019 Improved second order estimation in the singular multivariate normal model D Chételat, MT Wells
Journal of Multivariate Analysis 147, 1-19, 2016
11 2016 Exploring the power of graph neural networks in solving linear optimization problems C Qian, D Chételat, C Morris
International Conference on Artificial Intelligence and Statistics, 1432-1440, 2024
9 2024 Ecole: A library for learning inside milp solvers A Prouvost, J Dumouchelle, M Gasse, D Chételat, A Lodi
arXiv preprint arXiv:2104.02828, 2021
6 2021 Combinatorial optimization and reasoning with graph neural networks, 2021 Q Cappart, D Chételat, E Khalil, A Lodi, C Morris, P Veličković
arXiv preprint arXiv:2102.09544, 0
6 Continuous cutting plane algorithms in integer programming D Chételat, A Lodi
Operations Research Letters 51 (4), 439-445, 2023
4 2023 Noise estimation in the spiked covariance model D Chételat, MT Wells
arXiv preprint arXiv:1408.6440, 2014
4 2014 Deep unsupervised anomaly detection in high-frequency markets C Poutré, D Chételat, M Morales
The Journal of Finance and Data Science 10, 100129, 2024
1 2024 GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection Z Zhang, D Chételat, J Cotnareanu, A Ghose, W Xiao, HL Zhen, Y Zhang, ...
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
2024 Erratum: Improved multivariate normal mean estimation with unknown covariance when p is greater than n D Chételat
The Annals of Statistics 52 (1), 412-412, 2024
2024 Learning to Predict Security Constraints for Large-Scale Unit Commitment Problems R Sterzinger, J Poland, MB Paulus, D Chételat
2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), 1-5, 2023
2023 