1165 København K
Tlf: 21 17 95 65 (man-fre kl. 9-15)
Seminar — Open seminar by Ozan Ötkem, Strategic Coordinator at KTHs Center for Applied and Industrial Mathematics (CIAM)
Date & Time:
Lille UP1, Universitetsparken 1, 2100 Copenhagen Ø
Ozan Ötkem from KTH Sweden, Strategic Coordinator for the Center for Applied and Industrial Mathematics (CIAM).
Bayesian inversion for tomography through machine learning
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.