An Ensemble Information Filter: Learning and Encoding Sparse Structures in Ensemble Kalman Methods

Ensemble-based Data Assimilation faces significant challenges in high-dimensional systems due to spurious correlations and ensemble collapse. We propose the Ensemble Information Filter, which addresses these issues by encoding locality directly in the precision matrix through sparse Markov structure