AI RESEARCH
Robust Automatic Differentiation of Square-Root Kalman Filters via Gramian Differentials
arXiv CS.LG
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ArXi:2603.13559v1 Announce Type: cross Square-root Kalman filters propagate state covariances in Cholesky-factor form for numerical stability, and are a natural target for gradient-based parameter learning in state-space models.