• Corpus ID: 235293928

Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime

@article{Li2021AccurateAR,
  title={Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime},
  author={Matthew Li and Laurent Demanet and Leonardo Zepeda-N'unez},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.01143}
}
We propose an end-to-end deep learning framework that comprehensively solves the inverse wave scattering problem across all length scales. Our framework consists of the newly introduced wide-band butterfly network [37] coupled with a simple training procedure which dynamically injects noise during training. While our trained network provides competitive results in classical imaging regimes, most notably it also succeeds in the super-resolution regime where other comparable methods fail. This… 

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