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SUMMARY:Lexing Ying (Stanford University)
DTSTART:20210128T170000Z
DTEND:20210128T180000Z
DTSTAMP:20260423T052545Z
UID:Inverse/32
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/Inverse/32/"
 >Solving Inverse Problems with Deep Learning</a>\nby Lexing Ying (Stanford
  University) as part of International Zoom Inverse Problems Seminar\, UC I
 rvine\n\n\nAbstract\nThis talk is about some recent progress on solving in
 verse problems using deep learning. Compared to traditional machine learni
 ng problems\, inverse problems are often limited by the size of the traini
 ng data set. We show how to overcome this issue by incorporating mathemati
 cal analysis and physics into the design of neural network architectures. 
 We first describe neural network representations of pseudodifferential ope
 rators and Fourier integral operators. We then continue to discuss applica
 tions including electric impedance tomography\, optical tomography\, inver
 se acoustic/EM scattering\, seismic imaging\, and travel-time tomography.\
 n
LOCATION:https://researchseminars.org/talk/Inverse/32/
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