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09/18/2023
Outlier-Insensitive Kalman Filtering: Theory and Applications
State estimation of dynamical systems from noisy observations is a funda...
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06/04/2023
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation
Direction of arrival (DoA) estimation is a fundamental task in array pro...
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10/23/2022
LQGNet: Hybrid Model-Based and Data-Driven Linear Quadratic Stochastic Control
Stochastic control deals with finding an optimal control signal for a dy...
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10/12/2022
Outlier-Insensitive Kalman Filtering Using NUV Priors
The Kalman filter (KF) is a widely-used algorithm for tracking the laten...
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02/21/2022
Composite Anomaly Detection via Hierarchical Dynamic Search
Anomaly detection among a large number of processes arises in many appli...
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10/18/2021
Unsupervised Learned Kalman Filtering
In this paper we adapt KalmanNet, which is a recently pro-posed deep neu...
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10/10/2021
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models
Providing a metric of uncertainty alongside a state estimate is often cr...
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09/22/2021
Deep Augmented MUSIC Algorithm for Data-Driven DoA Estimation
Direction of arrival (DoA) estimation is a crucial task in sensor array ...
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07/21/2021