6 citations · 14 across the 16 of their papers we have counts for
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cs.CE2026
Mesh-Native Tokenisation: Retrofitting Foundation Models to Unstructured Data
Georg Maierhofer, Miles Cranmer, Payel Mukhopadhyay
Physics foundation models are an increasingly popular approach for building versatile emulators for spatiotemporal systems. They require tokenisation layers that lift physical fiel…
cs.CE2025
Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
Philippe Martin Wyder, Judah Goldfeder, Alexey Yermakov +11
Machine learning (ML) is transforming modeling and control in the physical, engineering, and biological sciences. However, rapid development has outpaced the creation of standardiz…