Jérémy RAPIN
Jérémy RAPIN
Research Engineer @ Facebook AI Research
Verified email at fb.com
Cited by
Cited by
Nevergrad - A gradient-free optimization platform
J Rapin, O Teytaud
https://GitHub.com/FacebookResearch/Nevergrad, 2018
Sparsity and adaptivity for the blind separation of partially correlated sources
J Bobin, J Rapin, A Larue, JL Starck
IEEE Transactions on Signal Processing 63 (5), 1199-1213, 2015
Sparse and Non-negative BSS for Noisy Data
J Rapin, J Bobin, A Larue, JL Starck
Transactions on Signal Processing 61 (22), 5620-5632, 2013
Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects
JW Bohland, S Saperstein, F Pereira, J Rapin, L Grady
Frontiers in systems neuroscience 6, 78, 2012
A deep neural network learning algorithm outperforms a conventional algorithm for emergency department electrocardiogram interpretation
SW Smith, B Walsh, K Grauer, K Wang, J Rapin, J Li, W Fennell, ...
Journal of electrocardiology 52, 88-95, 2019
Dynamic cardiac MRI reconstruction with weighted redundant Haar wavelets
J Liu, J Rapin, T Chang, A Lefebvre, M Zenge, E Mueller, MS Nadar
ISMRM, 2012
NMF with sparse regularizations in transformed domains
J Rapin, J Bobin, A Larue, JL Starck
SIAM journal on Imaging Sciences 7 (4), 2020-2047, 2014
Robust sparse blind source separation
C Chenot, J Bobin, J Rapin
IEEE Signal Processing Letters 22 (11), 2172-2176, 2015
Polygames: Improved zero learning
T Cazenave, YC Chen, GW Chen, SY Chen, XD Chiu, J Dehos, M Elsa, ...
ICGA Journal, 1-13, 2020
Nevergrad-A gradient-free optimization platform,(2018)
J Rapin, O Teytaud
A deep neural network for 12-lead electrocardiogram interpretation outperforms a conventional algorithm, and its physician overread, in the diagnosis of atrial fibrillation
SW Smith, J Rapin, J Li, Y Fleureau, W Fennell, BM Walsh, A Rosier, ...
IJC Heart & Vasculature 25, 100423, 2019
Image reconstruction using redundant Haar wavelets
J Liu, J Rapin, A Lefebvre, MS Nadar, T Chang, M Zenge, E Müller
US Patent 8,948,480, 2015
Fully parallel hyperparameter search: Reshaped space-filling
ML Cauwet, C Couprie, J Dehos, P Luc, J Rapin, M Riviere, F Teytaud, ...
International Conference on Machine Learning, 1338-1348, 2020
Automatic method to delineate or categorize an electrocardiogram
J Rapin, J Li, M Massias
US Patent 10,426,364, 2019
Application of non-negative matrix factorization to LC/MS data
J Rapin, A Souloumiac, J Bobin, A Larue, C Junot, M Ouethrani, JL Starck
Signal Processing 123, 75-83, 2016
Exploring the MLDA benchmark on the nevergrad platform
J Rapin, M Gallagher, P Kerschke, M Preuss, O Teytaud
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
Inspirational adversarial image generation
B Rozière, M Riviere, O Teytaud, J Rapin, Y LeCun, C Couprie
IEEE Transactions on Image Processing 30, 4036-4045, 2021
Versatile black-box optimization
J Liu, A Moreau, M Preuss, J Rapin, B Roziere, F Teytaud, O Teytaud
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 620-628, 2020
Hiplot, interactive high-dimensionality plots
D Haziza, J Rapin, G Synnaeve
Evolgan: Evolutionary generative adversarial networks
B Roziere, F Teytaud, V Hosu, H Lin, J Rapin, M Zameshina, O Teytaud
Proceedings of the Asian Conference on Computer Vision, 2020
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