Kernel operations on the GPU, with autodiff, without memory overflows B Charlier, J Feydy, JA Glaunes, FD Collin, G Durif Journal of Machine Learning Research 22 (74), 1-6, 2021 | 211 | 2021 |
Extending approximate Bayesian computation with supervised machine learning to infer demographic history from genetic polymorphisms using DIYABC Random Forest F Collin, G Durif, L Raynal, E Lombaert, M Gautier, R Vitalis, JM Marin, ... Molecular Ecology Resources 21 (8), 2598-2613, 2021 | 128 | 2021 |
MultiBoost: a multi-purpose boosting package D Benbouzid, R Busa-Fekete, N Casagrande, FD Collin, B Kégl The Journal of Machine Learning Research 13 (1), 549-553, 2012 | 116 | 2012 |
Bringing ABC inference to the machine learning realm: AbcRanger, an optimized random forests library for ABC FD Collin, A Estoup, JM Marin, L Raynal JOBIM 2020 2020, 2020 | 7 | 2020 |
Développement et optimisation d’un outil de simulation en C++ de données génomiques en populations spatialisées T Virgoulay, R Leblois, A Dehne Garcia, FD Collin | | 2018 |
MULTIBOOST (v1. 2.02) documentation D Benbouzid, R óbert Busa-Fekete, N Casagrande, FD Collin, B Kégl | | |