Guy Revach

37 papers A* 1B 1Misc 12Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Artificial Intelligence-Aided Kalman Filters: AI-Augmented Designs for Kalman-Type Algorithms.
IEEE Signal Process. Mag.
Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar
2025 J jnl
Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman Filter.
IEEE Trans. Signal Process.
Yehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger
2025 J jnl
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation.
IEEE Trans. Veh. Technol.
Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
2024 J jnl
AI-Aided Kalman Filters.
CoRR
Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar
2024 Misc conf
Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation.
ICASSP
Xiaoyong Ni, Guy Revach, Nir Shlezinger
2024 J jnl
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm.
IEEE Trans. Veh. Technol.
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Tirza Routtenberg, Ruud J. G. van Sloun
2024 A* conf
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces.
NeurIPS
Luis Cubillos, Guy Revach, Matthew Mender, Joseph T. Costello, Hisham Temmar, Aren Hite, Diksha Anoop Kumar Zutshi, Dylan Wallace, Xiaoyong Ni, Madison Kelberman, Matt S. Willsey, Ruud van Sloun, Nir Shlezinger, Parag G. Patil, Anne Draelos, Cynthia A. Chestek
2024 J jnl
HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising.
IEEE Trans. Signal Process.
Guy Revach, Timur Locher, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings
2024 J jnl
Latent-KalmanNet: Learned Kalman Filtering for Tracking From High-Dimensional Signals.
IEEE Trans. Signal Process.
Itay Buchnik, Guy Revach, Damiano Steger, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger
2024 J jnl
Neural Augmented Kalman Filtering With Bollinger Bands for Pairs Trading.
IEEE Trans. Signal Process.
Amit Milstein, Guy Revach, Haoran Deng, Hai Morgenstern, Nir Shlezinger
2024 Misc conf
Uncertainty Quantification in Deep Learning Based Kalman Filters.
ICASSP
Yehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger
2023 J jnl
Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models.
IEEE Trans. Signal Process.
Tomer Gafni, Benjamin Wolff, Guy Revach, Nir Shlezinger, Kobi Cohen
2023 Misc conf
Deep Root Music Algorithm for Data-Driven Doa Estimation.
ICASSP
Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
2023 Misc conf
Hierarchical Filtering With Online Learned Priors for ECG Denoising.
ICASSP
Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings
2023 Misc conf
Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading.
ICASSP
Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger
2023 Misc conf
LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control.
ICASSP
Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach, Nir Shlezinger
2023 Misc conf
Learned Kalman Filtering in Latent Space with High-Dimensional Data.
ICASSP
Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger
2023 Misc conf
Outlier-Insensitive Kalman Filtering Using NUV Priors.
ICASSP
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein
2023 J jnl
Outlier-Insensitive Kalman Filtering: Theory and Applications.
CoRR
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein
2023 J jnl
RTSNet: Learning to Smooth in Partially Known State-Space Models.
IEEE Trans. Signal Process.
Guy Revach, Xiaoyong Ni, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
2023 J jnl
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation.
CoRR
Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger
2022 B conf
Composite Anomaly Detection via Hierarchical Dynamic Search.
ISIT
Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
2022 J jnl
Composite Anomaly Detection via Hierarchical Dynamic Search.
CoRR
Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen
2022 Misc conf
Deep Augmented Music Algorithm for Data-Driven Doa Estimation.
ICASSP
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
2022 J jnl
KALMANBOT: KalmanNet-Aided Bollinger Bands for Pairs Trading.
CoRR
Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger
2022 J jnl
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics.
IEEE Trans. Signal Process.
Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar
2022 J jnl
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control.
CoRR
Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach, Nir Shlezinger
2022 J jnl
Outlier-Insensitive Kalman Filtering Using NUV Priors.
CoRR
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein
2022 Misc conf
RTSNet: Deep Learning Aided Kalman Smoothing.
ICASSP
Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
2022 Misc conf
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models.
ICASSP
Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar
2022 — conf
Unsupervised Learned Kalman Filtering.
EUSIPCO
Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar
2021 J jnl
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation.
CoRR
Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun
2021 J jnl
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics.
CoRR
Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar
2021 Misc conf
Kalmannet: Data-Driven Kalman Filtering.
ICASSP
Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar
2021 — conf
On the Influence of Home Appliances on the Smartphone's Inertial Sensors.
IEEE SENSORS
Shunit Truzman, Guy Revach, Itzik Klein
2021 J jnl
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models.
CoRR
Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar
2021 J jnl
Unsupervised Learned Kalman Filtering.
CoRR
Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar