| Coherence pursuit: Fast, simple, and robust principal component analysis M Rahmani, G Atia ICML - International Conference on Machine Learning, 2018 | 161 | 2018 |
| High Dimensional Low Rank plus Sparse Matrix Decomposition M Rahmani, G Atia ICML - International Conference on Machine Learning, 2017 | 120* | 2017 |
| Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices M Rahmani, G Atia IEEE Transactions on Signal Processing, 2016 | 78 | 2016 |
| Innovation Pursuit: A New Approach to Data Clustering M Rahmani, G Atia IEEE Transactions on Signal Processing, 2018 | 54* | 2018 |
| Outlier detection and robust PCA using a convex measure of innovation* M Rahmani, P Li NIPS 2019, 2019 | 22* | 2019 |
| A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels M Slawski, M Rahmani, P Li UAI 2019, 2019 | 20 | 2019 |
| Sparsity-based error detection in DC power flow state estimation MH Amini, M Rahmani, KG Boroojeni, G Atia, SS Iyengar, O Karabasoglu IEEE, 2016 | 19 | 2016 |
| Robust and rapid converging adaptive beamforming via a subspace method for the signal-plus-interferences covariance matrix estimation M Rahmani, MH Bastani IET 8 (5), 507-520, 2015 | 19 | 2015 |
| Innovation Pursuit: A New Approach to the Subspace Clustering Problem M Rahmani, G Atia ICML 2017 - International Conference on Machine Learning, 2874-2882, 2017 | 18 | 2017 |
| A Direction Search and Spectral Clustering Based Approach to Subspace Clustering M Rahmani, G Atia IEEE Signal Processing Letters, 2017 | 18* | 2017 |
| Subspace Clustering via Optimal Direction Search M Rahmani, GK Atia IEEE Signal Processing Letters, 2017 | 17 | 2017 |
| Spatial Random Sampling: A Structure-Preserving Data Sketching Tool M Rahmani, G Atia IEEE Signal Processing Letters, 2017 | 16 | 2017 |
| Scalable and Robust Community Detection with Randomized Sketching M Rahmani, A Beckus, A Karimian, G Atia IEEE Transactions on Signal Processing, 2020 | 13 | 2020 |
| Robust and Scalable Column/Row Sampling from Corrupted Big Data M Rahmani, G Atia ICCV - robust PCA workshop, 2016 | 13 | 2016 |
| A subspace method for array covariance matrix estimation M Rahmani, GK Atia Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016 IEEE, 1-5, 2016 | 11 | 2016 |
| A decentralized approach to robust subspace recovery M Rahmani, GK Atia 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015 | 10 | 2015 |
| Two layers beamforming robust against direction-of-arrival mismatch M Rahmani, MH Bastani, S Shahraini IET Signal Processing 8 (1), 49-58, 2015 | 10 | 2015 |
| Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search M Rahmani, P Li IEEE Transactions on Signal Processing, https://arxiv.org/abs/2106.12190, 2021 | 6 | 2021 |
| Low Rank Matrix Recovery with Simultaneous Presence of Outliers and Sparse Corruption M Rahmani, G Atia IEEE Journal of Selected Topics in Signal Processing, 2018 | 6 | 2018 |
| Randomized robust subspace recovery for big data M Rahmani, GK Atia 2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015 | 6 | 2015 |
