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科学研究
RESEARCH
[INS COLLOQUIUM] Solving Inverse Problems with Deep Learning
时间  Datetime
2020-04-10 13:00 — 14:00
地点  Venue
Zoom APP()
报告人  Speaker
Lexing Ying
单位  Affiliation
Stanford University
邀请人  Host
朱佳俊
备注  remarks
Conference ID: 961-063-493 PIN Code: 455031
报告摘要  Abstract

This talk is about some recent progress on solving inverse problems using deep learning. Compared to traditional machine learning problems, inverse problems are often limited by the size of the training data set. We show how to overcome this issue by incorporating mathematical analysis and physics into the design of neural network architectures. We first describe neural network representations of pseudodifferential operators and Fourier integral operators. We then continue to discuss applications including electric impedance tomography, optical tomography, inverse acoustic/EM scattering, seismic imaging, and travel-time tomography.