Final acceptance at PNAS now for Chengyun's resolvent analysis paper, yay 🎉 😀 with neat new climate results! www.pnas.org/doi/10.1073/... or arxiv.org/abs/2604.19465
Who's Who of AI
thuereygroup.bsky.social
Why they matter
Researcher with public evidence across AI research, Compute & infrastructure.
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Professor @ TUM | Making numerical methods and deep learning play nicely together | Fluids | Computer Graphics
What they're sharing
A neural operator framework for data-driven discovery of stability and receptivity in physical systems arxiv.org
ReViT: Rotational-equivariant Vision Transformers for Neural PDE Solvers tum-pbs.github.io
Articles & links
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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