Recursive KalmanNet learns both the Kalman gain and a consistent error covariance, using Joseph's formula and a tuning-free Gaussian negative log-likelihood loss.
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Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
Recursive KalmanNet learns both the Kalman gain and a consistent error covariance, using Joseph's formula and a tuning-free Gaussian negative log-likelihood loss.