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RESEARCH · CL_38214 · May 15 · 21:33

Score Kalman Filter bypasses partition function for nonlinear Bayesian filtering

Researchers have developed the Score Kalman Filter (SKF), a novel approach to nonlinear Bayesian filtering that bypasses the computationally expensive partition function. By integrating score matching with Stein's ident…