Jérémy RAPIN
Jérémy RAPIN
Research Engineer @ Meta Fundamental AI Research lab
Verified email at
Cited by
Cited by
Code llama: Open foundation models for code
B Roziere, J Gehring, F Gloeckle, S Sootla, I Gat, XE Tan, Y Adi, J Liu, ...
arXiv preprint arXiv:2308.12950, 2023
Nevergrad - A gradient-free optimization platform
J Rapin, O Teytaud, 2018
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
Decoding speech perception from non-invasive brain recordings
A Défossez, C Caucheteux, J Rapin, O Kabeli, JR King
Nature Machine Intelligence 5 (10), 1097-1107, 2023
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
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
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
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
Automatic method to delineate or categorize an electrocardiogram
J Rapin, J Li, M Massias
US Patent 10,426,364, 2019
Polygames: Improved zero learning
T Cazenave, YC Chen, GW Chen, SY Chen, XD Chiu, J Dehos, M Elsa, ...
ICGA Journal 42 (4), 244-256, 2020
Black-box optimization revisited: Improving algorithm selection wizards through massive benchmarking
L Meunier, H Rakotoarison, PK Wong, B Roziere, J Rapin, O Teytaud, ...
IEEE Transactions on Evolutionary Computation 26 (3), 490-500, 2021
Automatic method to delineate or categorize an electrocardiogram
J Rapin, J Li, M Massias
US Patent 10,779,744, 2020
Automatic method to delineate or categorize an electrocardiogram
J Rapin, J Li, M Massias
US Patent 10,758,139, 2020
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
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
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
Nevergrad: black-box optimization platform
P Bennet, C Doerr, A Moreau, J Rapin, F Teytaud, O Teytaud
ACM SIGEVOlution 14 (1), 8-15, 2021
Nevergrad—a gradient-free optimization platform. 2018
J Rapin, O Teytaud
Robust sparse blind source separation
C Chenot, J Bobin, J Rapin
IEEE Signal Processing Letters 22 (11), 2172-2176, 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
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