Gilles Louppe
Gilles Louppe
Professor, University of Liège, Belgium
Verified email at - Homepage
Cited by
Cited by
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, 431-439, 2013
Understanding Random Forests: From Theory to Practice
G Louppe
arXiv preprint arXiv:1407.7502, 2014
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
The frontier of simulation-based inference
K Cranmer, J Brehmer, G Louppe
Proceedings of the National Academy of Sciences 117 (48), 30055-30062, 2020
Learning to Pivot with Adversarial Networks
G Louppe, M Kagan, K Cranmer
arXiv:1611.01046, 2016
QCD-Aware Recursive Neural Networks for Jet Physics
G Louppe, K Cho, C Becot, K Cranmer
arXiv:1702.00748, 2017
Machine learning in high energy physics community white paper
K Albertsson, P Altoe, D Anderson, M Andrews, JPA Espinosa, A Aurisano, ...
Journal of Physics: Conference Series 1085 (2), 022008, 2018
Approximating Likelihood Ratios with Calibrated Discriminative Classifiers
K Cranmer, J Pavez, G Louppe
arXiv:1506.02169, 2016
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
Constraining effective field theories with machine learning
J Brehmer, K Cranmer, G Louppe, J Pavez
Physical review letters 121 (11), 111801, 2018
Ensembles on random patches
G Louppe, P Geurts
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
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
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
Unconstrained monotonic neural networks
A Wehenkel, G Louppe
Advances in neural information processing systems 32, 2019
Exploiting SNP correlations within random forest for genome-wide association studies
V Botta, G Louppe, P Geurts, L Wehenkel
PloS one 9 (4), e93379, 2014
Learning to rank with extremely randomized trees
P Geurts, G Louppe
Proceedings of the Learning to Rank Challenge, 49-61, 2011
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
J Hermans, V Begy, G Louppe
International Conference on Machine Learning, 4239-4248, 2020
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