Guy Revach

According to our database, Guy Revach authored at least 19 papers between 2021 and 2024.

Collaborative distances:

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

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

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

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

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

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 H. 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