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Found 2 papers, 1 papers with code
GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering
Dynamic systems of graph signals are encountered in various applications, including social networks, power grids, and transportation.
Latent-KalmanNet: Learned Kalman Filtering for Tracking from High-Dimensional Signals
In this work, we study tracking from high-dimensional measurements under complex settings using a hybrid model-based/data-driven approach.
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