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The Score Kalman Filter
Score Kalman Filter avoids partition functions by combining score matching with Stein's identity to propagate polynomial moments via linear algebra for nonlinear filtering up to 20 dimensions with lower RMSE than EKF, UKF, EnKF, and particle filters.
Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026
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7/20 AI panelreviewers recommend it
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AI panel: 7 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 0/5