Synergistic active learning and input denoising reduces combined error in neural operators on viscous Burgers' equation from 15.42% to 2.04%, an 87% improvement over standard training.
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Beyond Uniform Sampling: Synergistic Active Learning and Input Denoising for Robust Neural Operators
Synergistic active learning and input denoising reduces combined error in neural operators on viscous Burgers' equation from 15.42% to 2.04%, an 87% improvement over standard training.