| KalmanNet: Neural network aided Kalman filtering for partially known dynamics G Revach, N Shlezinger, X Ni, AL Escoriza, RJG Van Sloun, YC Eldar IEEE Transactions on Signal Processing 70, 1532-1547, 2022 | 317 | 2022 |
| Unsupervised learned Kalman filtering G Revach, N Shlezinger, T Locher, X Ni, RJG van Sloun, YC Eldar 2022 30th European Signal Processing Conference (EUSIPCO), 1571-1575, 2022 | 34 | 2022 |
| Age of information for wireless energy harvesting secondary users in cognitive radio networks S Leng, X Ni, A Yener 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems …, 2019 | 18 | 2019 |
| Adaptive KalmanNet: Data-driven Kalman filter with fast adaptation X Ni, G Revach, N Shlezinger ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 14 | 2024 |
| RTSNet: Deep learning aided Kalman smoothing X Ni, G Revach, N Shlezinger, RJG van Sloun, YC Eldar ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 14 | 2022 |
| RTSNet: Learning to smooth in partially known state-space models G Revach, X Ni, N Shlezinger, RJG Van Sloun, YC Eldar IEEE Transactions on Signal Processing 71, 4441-4456, 2023 | 11 | 2023 |
| Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces L Cubillos, G Revach, M Mender, J Costello, H Temmar, A Hite, ... Advances in Neural Information Processing Systems 37, 133975-133998, 2025 | | 2025 |
| RTSNet: Learning to Smooth in Partially Known State-Space Models (Preprint) G Revach, X Ni, N Shlezinger, RJG van Sloun, YC Eldar arXiv preprint arXiv:2110.04717, 2021 | | 2021 |
Nir ShlezingerBen-Gurion University of the NegevE-mailová adresa ověřena na: post.bgu.ac.il