Congratulations to Hao for his ICML Oral on rotationally equivariant transformers: tum-pbs.github.io/revit-web/ 👍 The key idea is to transform physical fields into local canonical coordinate systems, enabling standard self-attention while preserving physical symmetries
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Professor @ TUM | Making numerical methods and deep learning play nicely together | Fluids | Computer Graphics
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ReViT: Rotational-equivariant Vision Transformers for Neural PDE Solvers tum-pbs.github.io
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