Guy Revach

According to our database, Guy Revach authored at least 27 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation.

Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger

IEEE Trans. Veh. Technol., March, 2025

Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman Filter.

Yehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger

IEEE Trans. Signal Process., 2025

2024

DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm.

Julian P. Merkofer, Guy Revach, Nir Shlezinger, Tirza Routtenberg, Ruud J. G. van Sloun

IEEE Trans. Veh. Technol., 2024

HKF: Hierarchical Kalman Filtering With Online Learned Evolution Priors for Adaptive ECG Denoising.

Guy Revach, Timur Locher, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings

IEEE Trans. Signal Process., 2024

Neural Augmented Kalman Filtering With Bollinger Bands for Pairs Trading.

Amit Milstein, Guy Revach, Haoran Deng, Hai Morgenstern, Nir Shlezinger

IEEE Trans. Signal Process., 2024

Latent-KalmanNet: Learned Kalman Filtering for Tracking From High-Dimensional Signals.

Itay Buchnik, Guy Revach, Damiano Steger, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger

IEEE Trans. Signal Process., 2024

AI-Aided Kalman Filters.

Nir Shlezinger, Guy Revach, Anubhab Ghosh, Saikat Chatterjee, Shuo Tang, Tales Imbiriba, Jindrich Duník, Ondrej Straka, Pau Closas, Yonina C. Eldar

CoRR, 2024

Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Adaptive Kalmannet: Data-Driven Kalman Filter with Fast Adaptation.

Xiaoyong Ni, Guy Revach, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2024

Uncertainty Quantification in Deep Learning Based Kalman Filters.

Yehonatan Dahan, Guy Revach, Jindrich Duník, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

RTSNet: Learning to Smooth in Partially Known State-Space Models.

Guy Revach, Xiaoyong Ni, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar

IEEE Trans. Signal Process., 2023

Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models.

Tomer Gafni, Benjamin Wolff, Guy Revach, Nir Shlezinger, Kobi Cohen

IEEE Trans. Signal Process., 2023

Outlier-Insensitive Kalman Filtering: Theory and Applications.

Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein

CoRR, 2023

Outlier-Insensitive Kalman Filtering Using NUV Priors.

Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein

Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Root Music Algorithm for Data-Driven Doa Estimation.

Dor Haim Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2023

Hierarchical Filtering With Online Learned Priors for ECG Denoising.

Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings

Proceedings of the IEEE International Conference on Acoustics, 2023

Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading.

Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2023

LQGNET: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control.

Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2023

Learned Kalman Filtering in Latent Space with High-Dimensional Data.

Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics.

Guy Revach, Nir Shlezinger, Xiaoyong Ni, Adrià López Escoriza, Ruud J. G. van Sloun, Yonina C. Eldar

IEEE Trans. Signal Process., 2022

Composite Anomaly Detection via Hierarchical Dynamic Search.

Benjamin Wolff, Tomer Gafni, Guy Revach, Nir Shlezinger, Kobi Cohen

Proceedings of the IEEE International Symposium on Information Theory, 2022

RTSNet: Deep Learning Aided Kalman Smoothing.

Xiaoyong Ni, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Augmented Music Algorithm for Data-Driven Doa Estimation.

Julian P. Merkofer, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun

Proceedings of the IEEE International Conference on Acoustics, 2022

Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models.

Itzik Klein, Guy Revach, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2022

Unsupervised Learned Kalman Filtering.

Guy Revach, Nir Shlezinger, Timur Locher, Xiaoyong Ni, Ruud J. G. van Sloun, Yonina C. Eldar

Proceedings of the 30th European Signal Processing Conference, 2022

2021

On the Influence of Home Appliances on the Smartphone's Inertial Sensors.

Shunit Truzman, Guy Revach, Itzik Klein

Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

Kalmannet: Data-Driven Kalman Filtering.

Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2021