Autumn School: Deep Learning and Inverse Problems

The Research Training Group 2224 on Parameter Identification is happy to host an autumn school on the intersection of deep learning and inverse problems. It takes place at the University of Bremen, November 04 – 08, 2019.

The number of successful applications of deep learning in the context of inverse problems rapidly grows. In this autumn school we lay the foundations of both machine learning and inverse problems, as well as cover current research topics in their intersection. The autumn school targets advanced Master students, PhD students and PostDocs working on inverse problems, who are interested in the intersection of deep learning and inverse problems.

For further information please visit the event website.

Excited to announce that Mark Girolami will give a talk on 'The Statistical Finite Element Method' at the second CC… https://t.co/LUjU07ZMIz View on Twitter