Vegard Antun: On Stability of Deep Learning in Image Reconstruction

Vegard Antun (Department of Mathematics, University of Oslo) will give a talk on April 23rd at 14:15 in the Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor.

Vegard Antun is a PhD candidate at the Department of Mathematics of the University of Oslo

Title: On Stability of Deep Learning in Image Reconstruction

Abstract: Deep learning has been proposed as a promising tool to increase performance for image reconstruction in medical imaging. In this talk we will introduce the image reconstruction problem, and show, with a lot of examples, how trained neural networks are completely unstable for image reconstruction. We will then present a theoretical result showing how deep learning will typically encourage this type of behavior for image reconstruction and inverse problems in general.

Download the flyer here

Tags: Seminar Series in Statistics and Data Science
Published Mar. 11, 2019 1:22 PM - Last modified Apr. 15, 2019 10:17 AM