Guy Revach

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 30

Top Topics

Stochastic Control

Measurement Noise

Top Venues

IEEE Trans. Signal Process.

Publications

Yehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger
Uncertainty Quantification in Deep Learning Based Kalman Filters. ICASSP (2024)
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Tirza Routtenberg, Ruud J. G. van Sloun
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm. IEEE Trans. Veh. Technol. 73 (2) (2024)
Xiaoyong Ni, Guy Revach, Nir Shlezinger
Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation. ICASSP (2024)
Amit Milstein, Guy Revach, Haoran Deng, Hai Morgenstern, Nir Shlezinger
Neural Augmented Kalman Filtering With Bollinger Bands for Pairs Trading. IEEE Trans. Signal Process. 72 (2024)
Dor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation. CoRR (2023)
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein
Outlier-Insensitive Kalman Filtering: Theory and Applications. CoRR (2023)
Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach, Nir Shlezinger
LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control. ICASSP (2023)
Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger
Learned Kalman Filtering in Latent Space with High-Dimensional Data. ICASSP (2023)
Tomer Gafni, Benjamin Wolff, Guy Revach, Nir Shlezinger, Kobi Cohen
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models. IEEE Trans. Signal Process. 71 (2023)
Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger
Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading. ICASSP (2023)
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein
Outlier-Insensitive Kalman Filtering Using NUV Priors. ICASSP (2023)
Guy Revach, Xiaoyong Ni, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
RTSNet: Learning to Smooth in Partially Known State-Space Models. IEEE Trans. Signal Process. 71 (2023)
Dor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
Deep Root Music Algorithm for Data-Driven Doa Estimation. ICASSP (2023)
Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings
Hierarchical Filtering With Online Learned Priors for ECG Denoising. ICASSP (2023)
Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
Composite Anomaly Detection via Hierarchical Dynamic Search. ISIT (2022)
Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
Composite Anomaly Detection via Hierarchical Dynamic Search. CoRR (2022)
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
Deep Augmented Music Algorithm for Data-Driven Doa Estimation. ICASSP (2022)
Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
RTSNet: Deep Learning Aided Kalman Smoothing. ICASSP (2022)
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. ICASSP (2022)
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. IEEE Trans. Signal Process. 70 (2022)
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein
Outlier-Insensitive Kalman Filtering Using NUV Priors. CoRR (2022)
Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar
Unsupervised Learned Kalman Filtering. EUSIPCO (2022)
Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger
KALMANBOT: KalmanNet-Aided Bollinger Bands for Pairs Trading. CoRR (2022)
Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach, Nir Shlezinger
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control. CoRR (2022)
Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
Kalmannet: Data-Driven Kalman Filtering. ICASSP (2021)
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 (2021)
Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adria Lopez Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics. CoRR (2021)
Shunit Truzman, Guy Revach, Itzik Klein
On the Influence of Home Appliances on the Smartphone's Inertial Sensors. IEEE SENSORS (2021)
Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar
Unsupervised Learned Kalman Filtering. CoRR (2021)
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation. CoRR (2021)