This workshop will focus on novel developments on learning based methods for inverse problems, including supervised learning and unsupervised learning such as learned regularizations and generative models for Bayesian inversion.
Particular emphasis will be put on the understanding of foundations of learning in this area as well as novel applications including problems in imaging and speech/audio processing.
→ The timetable can be found here.
Confirmed speakers
- Tatiana Bubba (University of Bath)
- Antoine Deleforge (INRIA Nancy)
- Berthy Feng (California Institute of Technology)
- Eloi Moliner (Aalto University)
- Ozan Öktem (KTH Stockholm)
We gratefully acknowledge support by the DFG funded priority programme Theoretical Foundations of Deep Learning and Helmholtz Imaging.
