🌍 Earth Science

🧪 ICML2026 · 1 paper notes

📌 Same area in other venues: 🤖 AAAI2026 (1) · 🧠 NeurIPS2025 (5)

(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models

MOSAIC addresses two types of spectral degradation in ML-based weather forecasting models—spectral damping from deterministic averaging and high-frequency aliasing from latent space compression—by combining probabilistic perturbation with mesh-aligned block-sparse attention on the HEALPix spherical mesh. With only 214M parameters at 1.5° resolution, it matches or surpasses models at 6× higher resolution, generating 24-member 10-day forecasts in 12 seconds on a single H100.