| Message-passing algorithms for compressed sensing DL Donoho, A Maleki, A Montanari Proceedings of the National Academy of Sciences 106 (45), 18914-18919, 2009 | 2625 | 2009 |
| From denoising to compressed sensing CA Metzler, A Maleki, RG Baraniuk IEEE Transactions on Information Theory 62 (9), 5117-5144, 2016 | 743 | 2016 |
| Message passing algorithms for compressed sensing: I. motivation and construction DL Donoho, A Maleki, A Montanari 2010 IEEE information theory workshop on information theory (ITW 2010, Cairo …, 2010 | 579 | 2010 |
| Reproducible research in computational harmonic analysis DL Donoho, A Maleki, IU Rahman, M Shahram, V Stodden Computing in Science & Engineering 11 (1), 8-18, 2008 | 391 | 2008 |
| Optimally tuned iterative reconstruction algorithms for compressed sensing A Maleki, DL Donoho IEEE Journal of Selected Topics in Signal Processing 4 (2), 330-341, 2010 | 362 | 2010 |
| Asymptotic analysis of complex LASSO via complex approximate message passing (CAMP) A Maleki, L Anitori, Z Yang, RG Baraniuk IEEE Transactions on Information Theory 59 (7), 4290-4308, 2013 | 320 | 2013 |
| The noise-sensitivity phase transition in compressed sensing DL Donoho, A Maleki, A Montanari IEEE Transactions on Information Theory 57 (10), 6920-6941, 2011 | 317 | 2011 |
| Optimal data detection in large MIMO C Jeon, R Ghods, A Maleki, C Studer arXiv preprint arXiv:1811.01917, 2018 | 190* | 2018 |
| Design and analysis of compressed sensing radar detectors L Anitori, A Maleki, M Otten, RG Baraniuk, P Hoogeboom IEEE Transactions on Signal Processing 61 (4), 813-827, 2012 | 176 | 2012 |
| Approximate message passing algorithms for compressed sensing A Maleki Stanford University, 2010 | 170 | 2010 |
| Message passing algorithms for compressed sensing: II. Analysis and validation DL Donoho, A Maleki, A Montanari 2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo …, 2010 | 162 | 2010 |
| Global analysis of expectation maximization for mixtures of two gaussians J Xu, DJ Hsu, A Maleki Advances in Neural Information Processing Systems 29, 2016 | 160 | 2016 |
| Does -Minimization Outperform -Minimization? L Zheng, A Maleki, H Weng, X Wang, T Long IEEE Transactions on Information Theory 63 (11), 6896-6935, 2017 | 128* | 2017 |
| Iterative thresholding algorithm for sparse inverse covariance estimation B Rolfs, B Rajaratnam, D Guillot, I Wong, A Maleki Advances in Neural Information Processing Systems 25, 2012 | 127 | 2012 |
| VLSI design of approximate message passing for signal restoration and compressive sensing P Maechler, C Studer, DE Bellasi, A Maleki, A Burg, N Felber, H Kaeslin, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 (3 …, 2012 | 104 | 2012 |
| Consistent parameter estimation for lasso and approximate message passing A Mousavi, A Maleki, RG Baraniuk | 92* | 2018 |
| BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising CA Metzler, A Maleki, RG Baraniuk 2016 IEEE International Conference on Image Processing (ICIP), 2504-2508, 2016 | 90 | 2016 |
| A scalable estimate of the out-of-sample prediction error via approximate leave-one-out cross-validation KR Rad, A Maleki Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020 | 79* | 2020 |
| Optimization-Based AMP for Phase Retrieval: The Impact of Initialization and Regularization J Ma, J Xu, A Maleki IEEE Transactions on Information Theory 65 (6), 3600-3629, 2019 | 78* | 2019 |
| Compressive CFAR radar detection L Anitori, M Otten, W Van Rossum, A Maleki, R Baraniuk 2012 IEEE Radar Conference, 0320-0325, 2012 | 59 | 2012 |
