Florence Nightingale Colloquium presents Ozan Öktem
- vrijdag 26 maart 2021
- The seminar is targeted at a broad audience, in particular we invite master students, PhD candidates and supervisors interested or involved in the Data Science Research programme as well as colleagues from LIACS and MI to attend. The seminar is organized by the DSO, MI and LIACS.
- Florence Nightingale Colloquium
- Kaltura Live Room
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 large-scale inverse problems, such as tomographic image reconstruction. Emphasis is on using neural networks for reconstruction that are domain adapted in the sense that they include 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.
Join the webinar via Kaltura Live Room
Kaltura Live Room works best in Edge, Chorme and Firefox. Make sure you activate your camera and microphone beforehand in order to interact with the speaker and participate in discussion. The room opens for the public at 12:50.Register for the Kaltura Live Room link