| Proximal splitting methods in signal processing PL Combettes, JC Pesquet Fixed-point algorithms for inverse problems in science and engineering, 185-212, 2011 | 3366 | 2011 |
| A Douglas–Rachford splitting approach to nonsmooth convex variational signal recovery PL Combettes, JC Pesquet IEEE Journal of selected topics in signal processing 1 (4), 564-574, 2008 | 633 | 2008 |
| Time-invariant orthonormal wavelet representations JC Pesquet, H Krim, H Carfantan IEEE transactions on signal processing 44 (8), 1964-1970, 2002 | 616 | 2002 |
| Playing with duality: An overview of recent primal? dual approaches for solving large-scale optimization problems N Komodakis, JC Pesquet IEEE Signal Processing Magazine 32 (6), 31-54, 2015 | 510 | 2015 |
| Primal-dual splitting algorithm for solving inclusions with mixtures of composite, Lipschitzian, and parallel-sum type monotone operators PL Combettes, JC Pesquet Set-Valued and variational analysis 20 (2), 307-330, 2012 | 486 | 2012 |
| A proximal decomposition method for solving convex variational inverse problems PL Combettes, JC Pesquet Inverse problems 24 (6), 065014, 2008 | 351 | 2008 |
| A variational formulation for frame-based inverse problems C Chaux, PL Combettes, JC Pesquet, VR Wajs Inverse Problems 23 (4), 1495, 2007 | 328 | 2007 |
| Image restoration subject to a total variation constraint PL Combettes, JC Pesquet IEEE transactions on image processing 13 (9), 1213-1222, 2004 | 281 | 2004 |
| Variable metric forward–backward algorithm for minimizing the sum of a differentiable function and a convex function E Chouzenoux, JC Pesquet, A Repetti Journal of Optimization Theory and Applications 162 (1), 107-132, 2014 | 280 | 2014 |
| Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping PL Combettes, JC Pesquet SIAM Journal on Optimization 25 (2), 1221-1248, 2015 | 275 | 2015 |
| Proximal thresholding algorithm for minimization over orthonormal bases PL Combettes, JC Pesquet SIAM Journal on Optimization 18 (4), 1351-1376, 2008 | 254 | 2008 |
| A block coordinate variable metric forward–backward algorithm E Chouzenoux, JC Pesquet, A Repetti Journal of Global Optimization 66 (3), 457-485, 2016 | 233 | 2016 |
| Long-range dependence and heavy-tail modeling for teletraffic data O Cappé, E Moulines, JC Pesquet, AP Petropulu, X Yang IEEE signal processing magazine 19 (3), 14-27, 2002 | 207 | 2002 |
| Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... Nature communications 12 (1), 634, 2021 | 205 | 2021 |
| A survey of stochastic simulation and optimization methods in signal processing M Pereyra, P Schniter, E Chouzenoux, JC Pesquet, JY Tourneret, ... IEEE Journal of Selected Topics in Signal Processing 10 (2), 224-241, 2015 | 189 | 2015 |
| Parallel proximal algorithm for image restoration using hybrid regularization N Pustelnik, C Chaux, JC Pesquet IEEE transactions on Image Processing 20 (9), 2450-2462, 2011 | 186 | 2011 |
| Image analysis using a dual-tree M-band wavelet transform C Chaux, L Duval, JC Pesquet IEEE Transactions on Image Processing 15 (8), 2397-2412, 2006 | 179 | 2006 |
| Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed Regularization A Repetti, MQ Pham, L Duval, E Chouzenoux, JC Pesquet IEEE signal processing letters 22 (5), 539-543, 2014 | 168 | 2014 |
| A Majorize-Minimize Subspace Approach for Image Regularization E Chouzenoux, A Jezierska, JC Pesquet, H Talbot SIAM Journal on Imaging Sciences 6 (1), 563-591, 2013 | 168 | 2013 |
| Learning maximally monotone operators for image recovery JC Pesquet, A Repetti, M Terris, Y Wiaux SIAM Journal on Imaging Sciences 14 (3), 1206-1237, 2021 | 159 | 2021 |
Emilie ChouzenouxFull researcher, Inria Saclay, FranceVerified email at centralesupelec.fr
