Deep Learning and Inverse Problems
21–25 January 2019
KTH Royal Institute of Technology, Stockholm, Sweden
21–25 January 2019
KTH Royal Institute of Technology, Stockholm, Sweden
Deep Learning and Inverse Problems 2019 (DLIP2019) is a one week workshop for researchers and practitioners working on deep learning techniques for inverse problems. Our objective is to enable open discussions on both practical and theoretical aspects, and give researchers time to discuss these problems in depth.
The workshop will feature some invited talks, but we hope that most attendants will also contribute with their own knowledge.
See attendants for a full list of attendants, titles and abstracts.
We're currently fully booked. Please contact the organizers if you still want to participate.
Participation in the workshop is free of charge, however, each participant will have to arrange and pay for his/her travel to and stay in Stockholm.
The workshop is organized by Jonas Adler (Elekta and KTH), Axel Ringh (KTH) and Sebastian Banert (KTH).
Financial help is given from SSF project "Low complexity image reconstruction in medical imaging" and MathDataLab.