University of Cambridge > > Isaac Newton Institute Seminar Series > Learning Regularization for Inverse Problems, Take 2

Learning Regularization for Inverse Problems, Take 2

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact nobody.

DDEW03 - Computational Challenges and Emerging Tools

The idea of using learning techniques for inverse problems is not new, and is strongly connected to the area of empirical Baye’s. However, in the last few years new techniques have emerged that enebale us to learn from a vast amout of a-priori data. In this talk we will review the field, the new methods and the challenges the field is facing. We also propose new regularization functionals that are easy to learn and use.

This talk is part of the Isaac Newton Institute Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity