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Ozan Öktem: Bayesian inversion for tomography through machine learning

Time: Thu 2019-11-21 14.15 - 15.00

Location: Kräftriket, house 6, room 306 (Cramér-rummet)

Lecturer: Ozan Öktem, KTH


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 also discuss recent developments in using generative adversarial networks for uncertainty quantification in inverse problems.

Belongs to: Department of Mathematics
Last changed: Nov 18, 2019