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Guy Revach
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2020 – today
- 2024
- [j6]Amit Milstein
, Guy Revach
Neural Augmented Kalman Filtering With Bollinger Bands for Pairs Trading. IEEE Trans. Signal Process. 72: 1974-1988 (2024) - [j5]Guy Revach
HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising. IEEE Trans. Signal Process. 72: 3990-4006 (2024) - [j4]Julian P. Merkofer
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm. IEEE Trans. Veh. Technol. 73(2): 2771-2785 (2024) - [c15]Xiaoyong Ni, Guy Revach, Nir Shlezinger:
Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation. ICASSP 2024: 5970-5974 - [c14]Yehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger:
Uncertainty Quantification in Deep Learning Based Kalman Filters. ICASSP 2024: 13121-13125 - [i11]Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar:
AI-Aided Kalman Filters. CoRR abs/2410.12289 (2024) - 2023
- [j3]Tomer Gafni
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models. IEEE Trans. Signal Process. 71: 202-217 (2023) - [j2]Guy Revach
RTSNet: Learning to Smooth in Partially Known State-Space Models. IEEE Trans. Signal Process. 71: 4441-4456 (2023) - [c13]Itay Buchnik, Damiano Steger, Guy Revach
Learned Kalman Filtering in Latent Space with High-Dimensional Data. ICASSP 2023: 1-5 - [c12]Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach
LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control. ICASSP 2023: 1-5 - [c11]Haoran Deng, Guy Revach
Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading. ICASSP 2023: 1-5 - [c10]Timur Locher, Guy Revach
Hierarchical Filtering With Online Learned Priors for ECG Denoising. ICASSP 2023: 1-5 - [c9]Dor H. Shmuel, Julian P. Merkofer
Deep Root Music Algorithm for Data-Driven Doa Estimation. ICASSP 2023: 1-5 - [c8]Shunit Truzman, Guy Revach
Outlier-Insensitive Kalman Filtering Using NUV Priors. ICASSP 2023: 1-5 - [i10]Dor H. Shmuel, Julian P. Merkofer
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation. CoRR abs/2306.02271 (2023) - [i9]Shunit Truzman, Guy Revach
Outlier-Insensitive Kalman Filtering: Theory and Applications. CoRR abs/2309.09505 (2023) - 2022
- [j1]Guy Revach
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. IEEE Trans. Signal Process. 70: 1532-1547 (2022) - [c7]Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar:
Unsupervised Learned Kalman Filtering. EUSIPCO 2022: 1571-1575 - [c6]Itzik Klein, Guy Revach
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. ICASSP 2022: 3194-3198 - [c5]Julian P. Merkofer
Deep Augmented Music Algorithm for Data-Driven Doa Estimation. ICASSP 2022: 3598-3602 - [c4]Xiaoyong Ni, Guy Revach
RTSNet: Deep Learning Aided Kalman Smoothing. ICASSP 2022: 5902-5906 - [c3]Benjamin Wolff, Tomer Gafni, Guy Revach
Composite Anomaly Detection via Hierarchical Dynamic Search. ISIT 2022: 2421-2426 - [i8]Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen:
Composite Anomaly Detection via Hierarchical Dynamic Search. CoRR abs/2202.10418 (2022) - [i7]Shunit Truzman, Guy Revach
Outlier-Insensitive Kalman Filtering Using NUV Priors. CoRR abs/2210.06083 (2022) - [i6]Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control. CoRR abs/2210.12803 (2022) - [i5]Haoran Deng, Guy Revach
KALMANBOT: KalmanNet-Aided Bollinger Bands for Pairs Trading. CoRR abs/2210.15448 (2022) - 2021
- [c2]Guy Revach
Kalmannet: Data-Driven Kalman Filtering. ICASSP 2021: 3905-3909 - [c1]Shunit Truzman, Guy Revach
On the Influence of Home Appliances on the Smartphone's Inertial Sensors. IEEE SENSORS 2021: 1-4 - [i4]Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar:
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. CoRR abs/2107.10043 (2021) - [i3]Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun:
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation. CoRR abs/2109.10581 (2021) - [i2]Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar:
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models. CoRR abs/2110.04738 (2021) - [i1]Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar:
Unsupervised Learned Kalman Filtering. CoRR abs/2110.09005 (2021)
Coauthor Index
aka: Ruud J. G. van Sloun
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