\dm_csml_event_details UCL ELLIS

Deep learning for Bayesian inverse problems from tomography


Speaker

Ozan ├ľktem

Affiliation

Cambridge University/KTH

Date

Friday, 01 February 2019

Time

13:00-14:00

Location

Zoom

Link

Roberts 421

Event series

DeepMind/ELLIS CSML Seminar Series

Abstract

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

Biography