Gilles Louppe
Gilles Louppe
University of Liège
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Citado por
Citado por
Scikit-learn: Machine learning in Python
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ..., 2012
API design for machine learning software: experiences from the scikit-learn project
L Buitinck, G Louppe, M Blondel, F Pedregosa, A Mueller, O Grisel, ...
arXiv:1309.0238, 2013
Understanding variable importances in forests of randomized trees
G Louppe, L Wehenkel, A Sutera, P Geurts
Advances in neural information processing systems 26, 2013
Understanding Random Forests: From Theory to Practice
G Louppe
arXiv preprint arXiv:1407.7502, 2014
The frontier of simulation-based inference
K Cranmer, J Brehmer, G Louppe
Proceedings of the National Academy of Sciences 117 (48), 30055-30062, 2020
Scikit-learn: Machine learning without learning the machinery
G Varoquaux, L Buitinck, G Louppe, O Grisel, F Pedregosa, A Mueller
GetMobile: Mobile Computing and Communications 19 (1), 29-33, 2015
Learning to pivot with adversarial networks
G Louppe, M Kagan, K Cranmer
Advances in neural information processing systems 30, 2017
Machine learning in high energy physics community white paper
K Albertsson, P Altoe, D Anderson, M Andrews, JP Araque Espinosa, ...
Journal of Physics: Conference Series 1085, 022008, 2018
Robust EEG-based cross-site and cross-protocol classification of states of consciousness
DA Engemann, F Raimondo, JR King, B Rohaut, G Louppe, F Faugeras, ...
Brain 141 (11), 3179-3192, 2018
QCD-aware recursive neural networks for jet physics
G Louppe, K Cho, C Becot, K Cranmer
Journal of High Energy Physics 2019 (1), 1-23, 2019
T Head, MechCoder, G Louppe, I Shcherbatyi
Zenodo, 2018
Approximating Likelihood Ratios with Calibrated Discriminative Classifiers
K Cranmer, J Pavez, G Louppe
arXiv:1506.02169, 2016
Ensembles on random patches
G Louppe, P Geurts
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012
Constraining effective field theories with machine learning
J Brehmer, K Cranmer, G Louppe, J Pavez
Physical review letters 121 (11), 111801, 2018
Unconstrained monotonic neural networks
A Wehenkel, G Louppe
Advances in neural information processing systems 32, 2019
Collaborative analysis of multi-gigapixel imaging data using Cytomine
R Marée, L Rollus, B Stévens, R Hoyoux, G Louppe, R Vandaele, ...
Bioinformatics 32 (9), 1395-1401, 2016
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
J Hermans, V Begy, G Louppe
International Conference on Machine Learning, 2020
A guide to constraining effective field theories with machine learning
J Brehmer, K Cranmer, G Louppe, J Pavez
Physical Review D 98 (5), 052004, 2018
Mining gold from implicit models to improve likelihood-free inference
J Brehmer, G Louppe, J Pavez, K Cranmer
Proceedings of the National Academy of Sciences 117 (10), 5242-5249, 2020
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
J Brehmer, S Mishra-Sharma, J Hermans, G Louppe, K Cranmer
The Astrophysical Journal 886 (1), 49, 2019
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