Author

Ammar Kheder

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Preprint Oct 2026

Climate downscaling with likelihood functional flow matching

Decisions about heat, frost and flooding are made locally, yet reanalyses and climate models resolve tens of kilometres. Generative downscalers add kilometre-scale detail with uncertainty, but are tied to a grid, costly to sample and lack a tractable likelihood. Here we introduce CD-FFM, a functional flow-matching mode...

Zhi-Song Liu, Helmi Toropainen, Ammar Kheder et al. · 0 citations

#artificial intelligence Preprint Oct 2026

An actively trained neural operator for near-explicit atmospheric chemistry

FNO-MoE is introduced, a Fourier neural operator with a mixture of experts that predicts the full near-explicit chemical state over 30 minutes in a single call and guides its own training, using the disagreement among its experts to select the most informative box-model simulations.

Zhi-Song Liu, W. Peng, Ammar Kheder et al. · 0 citations