| Missing data imputation using optimal transport B Muzellec, J Josse, C Boyer, M Cuturi International Conference on Machine Learning, 7130-7140, 2020 | 135 | 2020 |
| On representer theorems and convex regularization C Boyer, A Chambolle, YD Castro, V Duval, F De Gournay, P Weiss SIAM Journal on Optimization 29 (2), 1260-1281, 2019 | 111 | 2019 |
| An analysis of block sampling strategies in compressed sensing J Bigot, C Boyer, P Weiss IEEE transactions on information theory 62 (4), 2125-2139, 2016 | 110 | 2016 |
| Compressed sensing with structured sparsity and structured acquisition C Boyer, J Bigot, P Weiss Applied and Computational Harmonic Analysis 46 (2), 312-350, 2019 | 89 | 2019 |
| On the generation of sampling schemes for magnetic resonance imaging C Boyer, N Chauffert, P Ciuciu, J Kahn, P Weiss SIAM Journal on Imaging Sciences 9 (4), 2039-2072, 2016 | 80 | 2016 |
| Imputation and low-rank estimation with missing not at random data A Sportisse, C Boyer, J Josse Statistics and Computing 30 (6), 1629-1643, 2020 | 60 | 2020 |
| An algorithm for variable density sampling with block-constrained acquisition C Boyer, P Weiss, J Bigot SIAM Journal on Imaging Sciences 7 (2), 1080-1107, 2014 | 42 | 2014 |
| Estimation and imputation in probabilistic principal component analysis with missing not at random data A Sportisse, C Boyer, J Josse Advances in Neural Information Processing Systems 33, 7067-7077, 2020 | 38 | 2020 |
| On the asymptotic rate of convergence of stochastic newton algorithms and their weighted averaged versions C Boyer, A Godichon-Baggioni Computational Optimization and Applications 84 (3), 921-972, 2023 | 25 | 2023 |
| HYR2PICS: Hybrid regularized reconstruction for combined parallel imaging and compressive sensing in MRI C Boyer, P Ciuciu, P Weiss, S Mériaux 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 66-69, 2012 | 24 | 2012 |
| Adapting to unknown noise level in sparse deconvolution C Boyer, Y De Castro, J Salmon Information and Inference: A Journal of the IMA 6 (3), 310-348, 2017 | 20 | 2017 |
| Convergence and error analysis of PINNs N Doumèche, G Biau, C Boyer arXiv preprint arXiv:2305.01240, 2023 | 18 | 2023 |
| On oracle-type local recovery guarantees in compressed sensing B Adcock, C Boyer, S Brugiapaglia Information and Inference: A Journal of the IMA 10 (1), 1-49, 2021 | 16 | 2021 |
| Analyzing the tree-layer structure of deep forests L Arnould, C Boyer, E Scornet International Conference on Machine Learning, 342-350, 2021 | 14 | 2021 |
| Debiasing averaged stochastic gradient descent to handle missing values A Sportisse, C Boyer, A Dieuleveut, J Josse Advances in Neural Information Processing Systems 33, 12957-12967, 2020 | 14 | 2020 |
| Near-optimal rate of consistency for linear models with missing values A Ayme, C Boyer, A Dieuleveut, E Scornet International Conference on Machine Learning, 1211-1243, 2022 | 10 | 2022 |
| Yohann De Castro, and Joseph Salmon C Boyer Adapting to unknown noise level in sparse deconvolution. Inf. Inference 6 (3 …, 2017 | 10 | 2017 |
| Sampling Rates for -Synthesis M März, C Boyer, J Kahn, P Weiss Foundations of Computational Mathematics 23 (6), 2089-2150, 2023 | 9 | 2023 |
| Robust Lasso‐Zero for sparse corruption and model selection with missing covariates P Descloux, C Boyer, J Josse, A Sportisse, S Sardy Scandinavian Journal of Statistics 49 (4), 1605-1635, 2022 | 9 | 2022 |
| Is interpolation benign for random forest regression? L Arnould, C Boyer, E Scornet International Conference on Artificial Intelligence and Statistics, 5493-5548, 2023 | 8 | 2023 |
