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Author

Isaac Lyngaas

2 papers indexed here

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Preprint Sep 2026

Structure-Guided Masked Autoencoders for Ultra-High Resolution Scientific Image Understanding

Self-supervised pre-training with Vision Transformers, including Masked Autoencoders (MAE), is difficult to apply to gigapixel scientific images. Random masking is poorly matched to the structured, multi-scale morphology of scientific data, while uniform tokenization produces prohibitively long sequences that make $O(N...

En-Zhi Zhang, Du Wu, Rui Zhong et al. · 0 citations

Global Attention with Linear Complexity for Exascale Generative Data Assimilation in Earth System Prediction

STORM is introduced, a one-stage generative AI framework that reformulates DA as diffusion-based Bayesian posterior sampling, replacing online PDE ensemble forecasts with scalable AI inference, enabling high-resolution, long-context Earth modeling and demonstrating improved accuracy.

Xiao Wang, Ze-Zhong Zhang, Isaac Lyngaas et al. · 1 citation

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