Deep Learning for Non-Linear Inverse Problems
Fangshu Yang

Meeting • 02 April 2019

Abstract
The aim of this talk is to introduce the applications of deep learning for non-linear inverse problems. It includes a short talk on seismic imaging and a detailed discussion related to diffraction imaging. In order to overcome the limitations of conventional methods for solving ill-posed non-linear inverse problems, we propose to utilize deep learning as a tool or a regularizer to obtain high-resolution results. To that end, the numerical experiments present the performance of this method.