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20212023
most citedKalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics

595 citations · 728 across the 12 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

eess.SY2022

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

Solomon Goldgraber Casspi, Oliver Husser, Guy Revach +1

Stochastic control deals with finding an optimal control signal for a dynamical system in a setting with uncertainty, playing a key role in numerous applications. The linear quadra…

eess.SP2022

Outlier-Insensitive Kalman Filtering Using NUV Priors

Shunit Truzman, Guy Revach, Nir Shlezinger +1

The Kalman filter (KF) is a widely-used algorithm for tracking the latent state of a dynamical system from noisy observations. For systems that are well-described by linear Gaussia…

q-fin.TR2022

Neural Augmented Kalman Filtering with Bollinger Bands for Pairs Trading

Amit Milstein, Haoran Deng, Guy Revach +2

Pairs trading is a family of trading techniques that determine their policies based on monitoring the relationships between pairs of assets. A common pairs trading approach relies…

eess.SP2022

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

Guy Revach, Timur Locher, Nir Shlezinger +2

Electrocardiography (ECG) signals play a pivotal role in many healthcare applications, especially in at-home monitoring of vital signs. Wearable technologies, which these applicati…

cs.IT2022

Anomaly Search over Composite Hypotheses in Hierarchical Statistical Models

Benjamin Wolff, Tomer Gafni, Guy Revach +2

Detection of anomalies among a large number of processes is a fundamental task that has been studied in multiple research areas, with diverse applications spanning from spectrum ac…