A multi-level neural network framework for inverse scattering that adds frequency-specific levels to recover higher-order Fourier modes of the target while decomposing training into simpler local tasks.
Uhlmann, Inverse problems: seeing the unseen, Bulletin of Mathematical Sciences 4 (2014) 209–279
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A Multi-Level Machine Learning Framework for Inverse Scattering Problems with Multi-Frequency Data
A multi-level neural network framework for inverse scattering that adds frequency-specific levels to recover higher-order Fourier modes of the target while decomposing training into simpler local tasks.