Seminar: Deep learning for Bayesian inverse problems from tomography

SpeakerOzan ├ľktem
AffiliationCambridge University/KTH
DateFriday, 01 Feb 2019
Time13:00 - 14:00
LocationRoberts 421
Event seriesDeepMind CSML Seminar Series
Description

The talk will outline recent approaches for using (deep) convolutional neural networks to solve a wide range of inverse problems, such as tomographic image reconstruction. Emphasis is on learned iterative schemes that use a neural network architecture for reconstruction that includes physics based models for how data is generated. The talk will show how such reconstruction methods can be integrated with elements of decision making, learning to task adapted reconstruction. It will also survey a recent development in using generative adversarial networks for uncertainty quantification relevant for solving inverse problems.

Link to slides: https://people.kth.se/~ozan/UCL_slides.pdf

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