AI RESEARCH
Derived Fields Preserve Fine-Scale Detail in Budgeted Neural Simulators
arXiv CS.AI
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ArXi:2603.29224v1 Announce Type: cross Fine-scale-faithful neural simulation under fixed storage budgets remains challenging. Many existing methods reduce high-frequency error by improving architectures