Martin Andrae

DAWIS: Data Assimilation with Windowed Inverse Sampling via Multitask Interpolants

Flow- and diffusion-based generative models have recently emerged as flexible and highly efficient forecasting models for dynamical systems. When combined with inference-time guidance, they offer a promising route to high-dimensional non-Gaussian data assimilation (DA), the problem of combining forecasts with observati...