Bayesian Filtering in Physical Systems via Test-time Trained Flow Matching
arXiv:2609.23383v1 Announce Type: new Abstract: Bayesian filtering provides a principled framework for online state estimation under uncertainty, yet its application to systems with high-dimensional states and complicated posterior distributions remains challenging. Recent generative models, such a…
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- 2026-09-22 04:00 · arXiv stat.ML
Bayesian Filtering in Physical Systems via Test-time Trained Flow Matching