3 citations · 3 across the 1 of their papers we have counts for
2 papers
math.NA2021★ 3 cited
Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime
Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez
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 intro…
cs.LG2020
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks
Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez
We introduce an end-to-end deep learning architecture called the wide-band butterfly network (WideBNet) for approximating the inverse scattering map from wide-band scattering data.…