Author

Erik Wikingsson

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#machine learning May 2026

Njord: A Probabilistic Graph Neural Network for Ensemble Ocean Forecasting

Njord, a probabilistic data-driven model for ocean forecasting, applicable to both global and regional domains, is introduced, combining a deep latent variable framework with a graph neural network architecture, enabling sampling each forecast step in a single forward pass.

Daniel Holmberg, Joel Oskarsson, Erik Wikingsson et al. · arXiv.org · 2 citations

#machine learning Preprint Oct 2026

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...

Erik Wikingsson, Martin Andrae, Tomas Landelius et al. · 0 citations