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Maxime GASSE
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Cited by
Year
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
1842019
The SCIP optimization suite 7.0
G Gamrath, D Anderson, K Bestuzheva, WK Chen, L Eifler, M Gasse, ...
1742020
High-quality plane wave compounding using convolutional neural networks
M Gasse, F Millioz, E Roux, D Garcia, H Liebgott, D Friboulet
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 64 …, 2017
892017
A hybrid algorithm for Bayesian network structure learning with application to multi-label learning
M Gasse, A Aussem, H Elghazel
Expert Systems with Applications 41 (15), 6755-6772, 2014
642014
Hybrid models for learning to branch
P Gupta, M Gasse, E Khalil, P Mudigonda, A Lodi, Y Bengio
Advances in neural information processing systems 33, 18087-18097, 2020
402020
An experimental comparison of hybrid algorithms for Bayesian network structure learning
M Gasse, A Aussem, H Elghazel
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
322012
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
202020
On the optimality of multi-label classification under subset zero-one loss for distributions satisfying the composition property
M Gasse, A Aussem, H Elghazel
International Conference on Machine Learning, 2531-2539, 2015
172015
A deep learning framework for spatiotemporal ultrasound localization microscopy
L Milecki, J Porée, H Belgharbi, C Bourquin, R Damseh, ...
IEEE Transactions on Medical Imaging 40 (5), 1428-1437, 2021
132021
Causal reinforcement learning using observational and interventional data
M Gasse, D Grasset, G Gaudron, PY Oudeyer
arXiv preprint arXiv:2106.14421, 2021
92021
On generalized surrogate duality in mixed-integer nonlinear programming
B Müller, G Muñoz, M Gasse, A Gleixner, A Lodi, F Serrano
Mathematical Programming 192 (1), 89-118, 2022
72022
F-measure maximization in multi-label classification with conditionally independent label subsets
M Gasse, A Aussem
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
52016
Probabilistic graphical model structure learning: application to multi-label classification
M Gasse
Université de Lyon, 2017
42017
On the use of binary stochastic autoencoders for multi-label classification under the zero-one loss
D Lecoeuche, A Aussem, M Gasse
Procedia computer science 144, 71-80, 2018
32018
Accelerating plane wave imaging through deep learning-based reconstruction: An experimental study
M Gasse, F Millioz, E Roux, H Liebgott, D Friboulet
2017 IEEE International Ultrasonic Symposium (IUS), 2017
32017
Ecole: A library for learning inside milp solvers
A Prouvost, J Dumouchelle, M Gasse, D Chételat, A Lodi
arXiv preprint arXiv:2104.02828, 2021
22021
Analysis of risk factors of hip fracture with causal Bayesian networks
A Aussem, P Caillet, S Klemm, M Gasse, AM Schott, M Ducher
International Work-Conference on Bioinformatics and Biomedical Engineering …, 2014
12014
Optimal sensor locations for polymer injection molding process
D Garcia, R Le Goff, M Gasse, A Aussem
Key Engineering Materials 611, 1724-1733, 2014
12014
Learning to branch with Tree MDPs
L Scavuzzo, FY Chen, D Chételat, M Gasse, A Lodi, N Yorke-Smith, ...
arXiv preprint arXiv:2205.11107, 2022
2022
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights
M Gasse, Q Cappart, J Charfreitag, L Charlin, D Chételat, A Chmiela, ...
arXiv preprint arXiv:2203.02433, 2022
2022
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