Self-supervised hybrid adaptive Kalman filter learns structured corrections for data-efficient joint tracking and classification.
Simon,Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches, 1st ed
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A derivative-free ensemble Kalman-Bucy smoother is developed for continuous-time data assimilation that supports Bayesian causal inference and iterative model structure identification with small ensemble sizes under partial observations.
citing papers explorer
-
Hybrid Adaptive Kalman Filtering for Data-Efficient Joint Tracking and Classification
Self-supervised hybrid adaptive Kalman filter learns structured corrections for data-efficient joint tracking and classification.
-
A Continuous-Time Ensemble Kalman-Bucy Smoother for Causal Inference and Model Discovery
A derivative-free ensemble Kalman-Bucy smoother is developed for continuous-time data assimilation that supports Bayesian causal inference and iterative model structure identification with small ensemble sizes under partial observations.