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Department of Nuclear, Plasma, and Radiological Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA
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Uniform sampling fails to adequately cover the vulnerability landscape of neural operators, as optimal training data is architecture-dependent, necessitating targeted data generation strategies.
Achieve real-time, accurate virtual sensing on edge devices with VIRSO, a graph neural operator that slashes energy consumption by 20x compared to previous methods.
