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Mostafa Rahmani
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2020 – today
- 2023
- [j14]Mostafa Rahmani, Manijeh Bashar, Mohammad Javad Dehghani, Ali Akbari, Pei Xiao, Rahim Tafazolli, Mérouane Debbah:
Deep Reinforcement Learning-Based Sum Rate Fairness Trade-Off for Cell-Free mMIMO. IEEE Trans. Veh. Technol. 72(5): 6039-6055 (2023) - [c25]Mostafa Rahmani, James Caverlee, Fei Wang:
Incorporating Time in Sequential Recommendation Models. RecSys 2023: 784-790 - [i20]Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, James Caverlee, Fei Wang:
Automated Data Denoising for Recommendation. CoRR abs/2305.07070 (2023) - 2022
- [j13]Mostafa Rahmani, Mohammad Javad Dehghani, Pei Xiao, Manijeh Bashar, Mérouane Debbah:
Multi-Agent Reinforcement Learning-Based Pilot Assignment for Cell-Free Massive MIMO Systems. IEEE Access 10: 120492-120502 (2022) - [c24]Mostafa Rahmani:
Clustering a union of linear subspaces via matrix factorization and innovation search. UAI 2022: 1654-1664 - [c23]Mostafa Rahmani, Manijeh Bashar, Mohammad Javad Dehghani, Pei Xiao, Rahim Tafazolli, Mérouane Debbah:
Deep Reinforcement Learning-based Power Allocation in Uplink Cell-Free Massive MIMO. WCNC 2022: 459-464 - [i19]Mostafa Rahmani:
Provable Clustering of a Union of Linear Manifolds Using Optimal Directions. CoRR abs/2201.02745 (2022) - [i18]Mostafa Rahmani, Anoop Deoras, Laurent Callot:
Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series. CoRR abs/2205.15548 (2022) - 2021
- [j12]Mostafa Rahmani, Ping Li:
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. IEEE Trans. Signal Process. 69: 3132-3144 (2021) - [c22]Weiwei Li, Mostafa Rahmani, Ping Li:
Provable Data Clustering via Innovation Search. ACSCC 2021: 498-503 - [c21]Mostafa Rahmani, Rasoul Shafipour, Ping Li:
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. ACSCC 2021: 1551-1557 - [c20]Mostafa Rahmani, Ping Li:
Fast and Provable Robust PCA VIA Normalized Coherence Pursuit. ICASSP 2021: 5305-5309 - [i17]Mostafa Rahmani, Ping Li:
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search. CoRR abs/2106.12190 (2021) - [i16]Weiwei Li, Mostafa Rahmani, Ping Li:
Provable Data Clustering via Innovation Search. CoRR abs/2108.06888 (2021) - [i15]Mostafa Rahmani, Rasoul Shafipour, Ping Li:
Non-Local Feature Aggregation on Graphs via Latent Fixed Data Structures. CoRR abs/2108.07028 (2021) - 2020
- [j11]Mostafa Rahmani, Andre Beckus, Adel Karimian, George K. Atia:
Scalable and Robust Community Detection With Randomized Sketching. IEEE Trans. Signal Process. 68: 962-977 (2020) - [c19]Mostafa Rahmani, Ping Li:
The Necessity of Geometrical Representation for Deep Graph Analysis. ICDM 2020: 1232-1237
2010 – 2019
- 2019
- [c18]Mostafa Rahmani, Ping Li:
Outlier Detection and Robust PCA Using a Convex Measure of Innovation. NeurIPS 2019: 14200-14210 - [c17]Martin Slawski, Mostafa Rahmani, Ping Li:
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels. UAI 2019: 38-48 - [i14]Mostafa Rahmani, Ping Li:
Graph Analysis and Graph Pooling in the Spatial Domain. CoRR abs/1910.01589 (2019) - [i13]Mostafa Rahmani, Ping Li:
Outlier Detection and Data Clustering via Innovation Search. CoRR abs/1912.12988 (2019) - 2018
- [j10]Mostafa Rahmani, George K. Atia:
Low-Rank Matrix Recovery With Simultaneous Presence of Outliers and Sparse Corruption. IEEE J. Sel. Top. Signal Process. 12(6): 1170-1181 (2018) - [c16]Mostafa Rahmani, George K. Atia:
Data Dropout in Arbitrary Basis for Deep Network Regularization. ACSSC 2018: 66-70 - [c15]Adel Karimian, Mostafa Rahmani, Andre Beckus, George K. Atia:
Randomized Robust matrix Completion for the Community Detection Problem. ACSSC 2018: 2099-2103 - [i12]Mostafa Rahmani, Adel Karimian, Andre Beckus, George K. Atia:
Randomized Robust Matrix Completion for the Community Detection Problem. CoRR abs/1805.10927 (2018) - 2017
- [j9]Mostafa Rahmani, George K. Atia:
Spatial Random Sampling: A Structure-Preserving Data Sketching Tool. IEEE Signal Process. Lett. 24(9): 1398-1402 (2017) - [j8]Mostafa Rahmani, George K. Atia:
Subspace Clustering via Optimal Direction Search. IEEE Signal Process. Lett. 24(12): 1793-1797 (2017) - [j7]Mostafa Rahmani, George K. Atia:
Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices. IEEE Trans. Signal Process. 65(6): 1580-1594 (2017) - [j6]Mostafa Rahmani, George K. Atia:
High Dimensional Low Rank Plus Sparse Matrix Decomposition. IEEE Trans. Signal Process. 65(8): 2004-2019 (2017) - [j5]Mostafa Rahmani, George K. Atia:
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis. IEEE Trans. Signal Process. 65(23): 6260-6275 (2017) - [j4]Mostafa Rahmani, George K. Atia:
Innovation Pursuit: A New Approach to Subspace Clustering. IEEE Trans. Signal Process. 65(23): 6276-6291 (2017) - [c14]Mostafa Rahmani, George K. Atia:
Robust PCA with concurrent column and element-wise outliers. Allerton 2017: 332-337 - [c13]Mostafa Rahmani, George K. Atia:
High dimensional decomposition of coherent/structured matrices via sequential column/row sampling. ICASSP 2017: 6419-6423 - [c12]Mostafa Rahmani, George K. Atia:
Robust and Scalable Column/Row Sampling from Corrupted Big Data. ICCV Workshops 2017: 1818-1826 - [c11]Mostafa Rahmani, George K. Atia:
Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery. ICML 2017: 2864-2873 - [c10]Mostafa Rahmani, George K. Atia:
Innovation Pursuit: A New Approach to the Subspace Clustering Problem. ICML 2017: 2874-2882 - [i11]Mostafa Rahmani, George K. Atia:
Low Rank Matrix Recovery with Simultaneous Presence of Outliers and Sparse Corruption. CoRR abs/1702.01847 (2017) - [i10]Mostafa Rahmani, George K. Atia:
Spatial Random Sampling: A Structure-Preserving Data Sketching Tool. CoRR abs/1705.03566 (2017) - [i9]Mostafa Rahmani, George K. Atia:
A Direction Search and Spectral Clustering Based Approach to Subspace Clustering. CoRR abs/1706.03860 (2017) - [i8]Mostafa Rahmani, George K. Atia:
Data Dropout in Arbitrary Basis for Deep Network Regularization. CoRR abs/1712.00891 (2017) - 2016
- [j3]Omar Chakrone, EL. M. Hssini, Mostafa Rahmani, Omar Darhouche:
Multiplicity results for a p-Laplacian discrete problems of Kirchhoff type. Appl. Math. Comput. 276: 310-315 (2016) - [c9]Mostafa Rahmani, George K. Atia:
In pursuit of novelty: A decentralized approach to subspace clustering. Allerton 2016: 447-451 - [c8]M. Hadi Amini, Mostafa Rahmani, Kianoosh G. Boroojeni, George K. Atia, S. Sitharama Iyengar, Orkun Karabasoglu:
Sparsity-based error detection in DC power flow state estimation. EIT 2016: 263-268 - [c7]Mostafa Rahmani, George K. Atia:
Scalable and robust PCA approach with random column/row sampling. GlobalSIP 2016: 1320-1324 - [c6]Mostafa Rahmani, George K. Atia:
A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling. ICML 2016: 1206-1214 - [c5]Mostafa Rahmani, George K. Atia:
A subspace method for array covariance matrix estimation. SAM 2016: 1-5 - [i7]M. Hadi Amini, Mostafa Rahmani, Kianoosh G. Boroojeni, George K. Atia, S. S. Iyengar, Orkun Karabasoglu:
Sparsity-Based Error Detection in DC Power Flow State Estimation. CoRR abs/1605.04380 (2016) - [i6]Mostafa Rahmani, George K. Atia:
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis. CoRR abs/1609.04789 (2016) - [i5]Mostafa Rahmani, George K. Atia:
Robust and Scalable Column/Row Sampling from Corrupted Big Data. CoRR abs/1611.05977 (2016) - 2015
- [c4]Mostafa Rahmani, George K. Atia:
Randomized subspace learning approach for high dimensional low rank plus sparse matrix decomposition. ACSSC 2015: 1796-1800 - [c3]Mostafa Rahmani, George K. Atia:
A decentralized approach to robust subspace recovery. Allerton 2015: 802-807 - [c2]Mostafa Rahmani, George K. Atia:
Analysis of randomized robust PCA for high dimensional data. SP/SPE 2015: 25-30 - [c1]Mostafa Rahmani, George K. Atia:
Randomized robust subspace recovery for big data. MLSP 2015: 1-6 - [i4]Mostafa Rahmani, George K. Atia:
High Dimensional Low Rank plus Sparse Matrix Decomposition. CoRR abs/1502.00182 (2015) - [i3]Mostafa Rahmani, George K. Atia:
Randomized Robust Subspace Recovery for High Dimensional Data Matrices. CoRR abs/1505.05901 (2015) - [i2]Mostafa Rahmani, George K. Atia:
Innovation Pursuit: A New Approach to Subspace Clustering. CoRR abs/1512.00907 (2015) - 2014
- [j2]Mostafa Rahmani, Mohammad Hasan Bastani, Sarah Shahraini:
Two layers beamforming robust against direction-of-arrival mismatch. IET Signal Process. 8(1): 49-58 (2014) - [j1]Mostafa Rahmani, Mohammad Hasan Bastani:
Robust and rapid converging adaptive beamforming via a subspace method for the signal-plus-interferences covariance matrix estimation. IET Signal Process. 8(5): 507-520 (2014) - [i1]Mostafa Rahmani, George K. Atia:
A Subspace Method for Array Covariance Matrix Estimation. CoRR abs/1411.0622 (2014)
Coauthor Index
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