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Martin Andrae

2 accepted papers

2026

DAISI: Data Assimilation with Inverse Sampling using Stochastic Interpolants

ICML 2026poster

Data assimilation (DA) is a cornerstone of scientific and engineering applications, combining model forecasts with sparse and noisy observations to estimate latent system states. Classical high-dimensional DA methods, such as the ensemble Kalman filter, rely on Gaussian approximations that are viola…

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2025

Continuous Ensemble Weather Forecasting with Diffusion models

ICLR 2025poster

Weather forecasting has seen a shift in methods from numerical simulations to data-driven systems. While initial research in the area focused on deterministic forecasting, recent works have used diffusion models to produce skillful ensemble forecasts. These models are trained on a single forecasting…