Self-composing neural operators that reuse one backbone block and are trained with a depth-increasing curriculum sharply reduce prediction error on Darcy flow and ultrasound tomography benchmarks while using far fewer parameters.
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Self-composing neural operators for high-frequency and multiscale PDE surrogates
Self-composing neural operators that reuse one backbone block and are trained with a depth-increasing curriculum sharply reduce prediction error on Darcy flow and ultrasound tomography benchmarks while using far fewer parameters.