Auto-differentiable data assimilation: Co-learning of states, dynamics, and filtering algorithms

ArXi:2603.20891v1 Announce Type: cross Data assimilation algorithms estimate the state of a dynamical system from partial observations, where the successful performance of these algorithms hinges on costly parameter tuning and on employing an accurate model for the dynamics. This paper