Guy Revach

Orcid: 0000-0002-1549-0298

According to our database¹, Guy Revach authored at least 23 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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Bibliography

2024

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

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2024

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

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2024

Neural Augmented Kalman Filtering With Bollinger Bands for Pairs Trading.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2024

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

[BibT_eX]

[DOI]

Xiaoyong Ni

Guy Revach

Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2024

Uncertainty Quantification in Deep Learning Based Kalman Filters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Outlier-Insensitive Kalman Filtering: Theory and Applications.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Outlier-Insensitive Kalman Filtering Using NUV Priors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Root Music Algorithm for Data-Driven Doa Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Hierarchical Filtering With Online Learned Priors for ECG Denoising.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Composite Anomaly Detection via Hierarchical Dynamic Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

RTSNet: Deep Learning Aided Kalman Smoothing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Deep Augmented Music Algorithm for Data-Driven Doa Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Unsupervised Learned Kalman Filtering.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Guy Revach

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