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Guy Revach

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Outlier-Insensitive Kalman Filtering: Theory and Applications

Sep 18, 2023
Shunit Truzman, Guy Revach, Nir Shlezinger, Itzik Klein

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Adaptive KalmanNet: Data-Driven Kalman Filter with Fast Adaptation

Sep 14, 2023
Xiaoyong Ni, Guy Revach, Nir Shlezinger

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Adaptive KalmanNet: Data-Driven Kalman Filter With Fast Adaptation

Sep 13, 2023
Xiaoyong Ni, Guy Revach, Nir Shlezinger

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NUV-DoA: NUV Prior-based Bayesian Sparse Reconstruction with Spatial Filtering for Super-Resolution DoA Estimation

Sep 13, 2023
Mengyuan Zhao, Guy Revach, Tirza Routtenberg, Nir Shlezinger

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Uncertainty Quantification in Deep Learning Based Kalman Filters

Sep 06, 2023
Yehonatan Dahan, Guy Revach, Jindrich Dunik, Nir Shlezinger

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SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation

Jun 04, 2023
Dor H. Shmuel, Julian P. Merkofer, Guy Revach, Ruud J. G. van Sloun, Nir Shlezinger

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

Apr 20, 2023
Itay Buchnik, Damiano Steger, Guy Revach, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger

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

Oct 25, 2022
Solomon Goldgraber Casspi, Oliver Husser, Guy Revach, Nir Shlezinger

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Hierarchical Filtering with Online Learned Priors for ECG Denoising

Oct 23, 2022
Timur Locher, Guy Revach, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings

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