Guy Revach - Dissemin

All papers authored by Guy Revach

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2024 Julian P. Merkofer

, Guy Revach

, Nir Shlezinger

, Tirza Routtenberg

, Ruud J. G. van Sloun

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

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Itay Buchnik

, Guy Revach

, Damiano Steger

, Ruud J. G. van Sloun

, Tirza Routtenberg

, Nir Shlezinger

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

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Amit Milstein

, Haoran Deng

, Guy Revach

, Hai Morgenstern

, Nir Shlezinger

Neural Augmented Kalman Filtering With Bollinger Bands for Pairs Trading

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2023 Shunit Truzman, Guy Revach

, Nir Shlezinger, Itzik Klein

Outlier-Insensitive Kalman Filtering Using NUV Priors

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Haoran Deng, Guy Revach

, Hai Morgenstern, Nir Shlezinger

Kalmanbot: Kalmannet-Aided Bollinger Bands for Pairs Trading

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Itay Buchnik, Damiano Steger, Guy Revach

, Ruud J. G. van Sloun, Tirza Routtenberg, Nir Shlezinger

Learned Kalman Filtering in Latent Space with High-Dimensional Data

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Timur Locher, Guy Revach

, Nir Shlezinger, Ruud J. G. van Sloun, Rik Vullings

Hierarchical Filtering With Online Learned Priors for ECG Denoising

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Solomon Goldgraber Casspi, Oliver Hüsser, Guy Revach

, Nir Shlezinger

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

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

M. Zhao, G. Revach

, T. Routtenberg, N. Shlezinger

Nuv-Doa: Nuv Prior-Based Bayesian Sparse Reconstruction With Spatial Filtering for Super-Resolution Doa Estimation

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X. Ni, G. Revach

, N. Shlezinger

Adaptive Kalmannet: Data-Driven Kalman Filter With Fast Adaptation

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Guy Revach

, Xiaoyong Ni

, Nir Shlezinger

, Ruud J. G. van Sloun

, Yonina C. Eldar

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

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Tomer Gafni

, Benjamin Wolff, Guy Revach

, Nir Shlezinger

, Kobi Cohen

Anomaly Search Over Discrete Composite Hypotheses in Hierarchical Statistical Models

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D. H. Shmuel, J. P. Merkofer, G. Revach

, R. J. G. van Sloun, N. Shlezinger

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation

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Y. Dahan, G. Revach

, J. Dunik, N. Shlezinger

Uncertainty Quantification in Deep Learning Based Kalman Filters

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S. Truzman, G. Revach

, N. Shlezinger, I. Klein

Outlier-Insensitive Kalman Filtering: Theory and Applications

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2022 Guy Revach

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

Unsupervised Learned Kalman Filtering

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Benjamin Wolff, Tomer Gafni, Guy Revach

, Nir Shlezinger, Kobi Cohen

Composite Anomaly Detection via Hierarchical Dynamic Search

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Julian P. Merkofer, Guy Revach

, Nir Shlezinger, Ruud J. G. van Sloun

Deep Augmented Music Algorithm for Data-Driven Doa Estimation

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Itzik Klein, Guy Revach

, Nir Shlezinger, Jonas E. Mehr, Ruud J. G. van Sloun, Yonina C. Eldar

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

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Xiaoyong Ni, Guy Revach

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

RTSNet: Deep Learning Aided Kalman Smoothing

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All papers authored by Guy Revach