| Federated Learning of Tensor Generalized Linear Models with low Separation Rank JH Sanchez, B Taki, WU Bajwa, AD Sarwate ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Low Separation Rank in Tensor Generalized Linear Models: An Asymptotic Analysis B Taki, AD Sarwate, WU Bajwa 2024 58th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2024 | | 2024 |
| Structured Low-Rank Tensors for Generalized Linear Models B Taki, AD Sarwate, WU Bajwa arXiv preprint arXiv:2308.02922, 2023 | 2 | 2023 |
| A Machine Learning-Driven Analysis of Phantom E911 Calls Y Hu, B Taki, WU Bajwa, M Talasila, M Mantan, SA Aftab Proceedings of the 2022 ACM Workshop on Wireless Security and Machine …, 2022 | 1 | 2022 |
| A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression B Taki, M Ghassemi, A Sarwate, W Bajwa 55th Asilomar Conference on Signals, Systems, and Computers, 477-484, 2021 | 3 | 2021 |
| Computational endoscopy—a framework for improving spatial resolution in fiber bundle imaging JP Dumas, MA Lodhi, BA Taki, WU Bajwa, MC Pierce Optics letters 44 (16), 3968-3971, 2019 | 19 | 2019 |
| A computational imaging approach for resolution enhancement in fiber bundle endomicroscopy JP Dumas, MA Lodhi, BA Taki, WU Bajwa, MC Pierce Endoscopic Microscopy XIV 10854, 1085416, 2019 | | 2019 |
| Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems Z Shakeri, B Taki, ALF de Almeida, M Ghassemi, WU Bajwa 2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019 | 2 | 2019 |
Waheed U. BajwaProfessor of Electrical & Computer Engineering and Statistics, Rutgers UniversityVerified email at rutgers.edu
