New Study Explores Using Cheap Physics Simulations to Train Data-Efficient Neural Operators
An arXiv paper proposes rethinking how inexpensive physics-based information can be leveraged to train neural operators, which learn mappings from PDE inputs like initial conditions and coefficient fields to solutions.
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- 2026-11-10 05:00 · arXiv cs.LG
Rethinking How to Leverage Cheap Physics for Data-Efficient Neural Operators