| Nevergrad - A gradient-free optimization platform J Rapin, O Teytaud https://GitHub.com/FacebookResearch/Nevergrad, 2018 | 199 | 2018 |
| 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 | 88 | 2023 |
| 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 | 86 | 2019 |
| 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 | 85 | 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 | 65 | 2012 |
| 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 | 60 | 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 | 54 | 2013 |
| 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 | 43 | 2020 |
| Automatic method to delineate or categorize an electrocardiogram J Rapin, J Li, M Massias US Patent 10,426,364, 2019 | 38 | 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 | 32 | 2014 |
| Nevergrad—a gradient-free optimization platform. 2018 J Rapin, O Teytaud | 32 | |
| Decoding speech from non-invasive brain recordings A Défossez, C Caucheteux, J Rapin, O Kabeli, JR King arXiv preprint arXiv:2208.12266, 2022 | 31* | 2022 |
| 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 | 31 | 2019 |
| Automatic method to delineate or categorize an electrocardiogram J Rapin, J Li, M Massias US Patent 10,779,744, 2020 | 29 | 2020 |
| Robust sparse blind source separation C Chenot, J Bobin, J Rapin IEEE Signal Processing Letters 22 (11), 2172-2176, 2015 | 29 | 2015 |
| 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 | 28 | 2021 |
| Automatic method to delineate or categorize an electrocardiogram J Rapin, J Li, M Massias US Patent 10,758,139, 2020 | 28 | 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 | 26 | 2020 |
| 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 | 22 | 2020 |
| Nevergrad: black-box optimization platform P Bennet, C Doerr, A Moreau, J Rapin, F Teytaud, O Teytaud ACM SIGEVOlution 14 (1), 8-15, 2021 | 20 | 2021 |
