Gilles Louppe
Gilles Louppe
University of Liège
在 uliege.be 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Scikit-learn: Machine learning in Python
arXiv:1201.0490; github.com/scikit-learn/scikit-learn, 2012
33791*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
10232013
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
6152013
Understanding Random Forests: From Theory to Practice
G Louppe
arXiv preprint arXiv:1407.7502, 2014
505*2014
QCD-Aware Recursive Neural Networks for Jet Physics
G Louppe, K Cho, C Becot, K Cranmer
arXiv:1702.00748, 2017
1362017
Learning to Pivot with Adversarial Networks
G Louppe, M Kagan, K Cranmer
arXiv:1611.01046, 2016
1362016
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
1322015
Machine learning in high energy physics community white paper
K Albertsson, P Altoe, D Anderson, J Anderson, M Andrews, ...
arXiv preprint arXiv:1807.02876, 2018
942018
Ensembles on random patches
G Louppe, P Geurts
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
932012
Constraining effective field theories with machine learning
J Brehmer, K Cranmer, G Louppe, J Pavez
Physical Review Letters 121 (11), 111801, 2018
862018
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
812016
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
802018
Approximating Likelihood Ratios with Calibrated Discriminative Classifiers
K Cranmer, J Pavez, G Louppe
arXiv:1506.02169, 2016
802016
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
752018
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
692014
Learning to rank with extremely randomized trees
P Geurts, G Louppe
Proceedings of Machine Learning Research 14, 49-61, 2011
652011
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
542020
Ethnicity sensitive author disambiguation using semi-supervised learning
G Louppe, H Al-Natsheh, M Susik, E Maguire
arXiv:1508.07744, 2015
432015
The frontier of simulation-based inference
K Cranmer, J Brehmer, G Louppe
Proceedings of the National Academy of Sciences, 2020
422020
Adversarial variational optimization of non-differentiable simulators
G Louppe, J Hermans, K Cranmer
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
352019
系统目前无法执行此操作,请稍后再试。
文章 1–20