Reformulates CFD inference as self-supervised inpainting on tokenized velocity fields to produce reusable flow priors that handle boundary and geometry shifts better than supervised surrogates.
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics , booktitle =
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Inpainting physics: self-supervised learning for context-driven fluid simulation
Reformulates CFD inference as self-supervised inpainting on tokenized velocity fields to produce reusable flow priors that handle boundary and geometry shifts better than supervised surrogates.