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FREESIA: Covariance-Aware Posterior Transport for Expressive and Scalable Data Assimilation
Data assimilation aims to infer the state of complex dynamical systems based on observational data. However, accurate inference of the multimodal posteriors induced by nonlinear or non-injective observation operators remains a key challenge under high-dimensional and sparse observation conditions. E
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