Deep Learning and Inverse Problems

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.

Invited Speakers


To sign up for the workshop, please fill in the form below no later than 19 October 2018. We hope that everyone who is interested will get a spot, but we have to limit the number of participants by the capacity of the lecture room. Therefore, please do not book your flights or accommodation before you have received a confirmation email from us (no later than 26 October 2018). Priority is given to participants who contribute.

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 with help from SSF project "Low complexity image reconstruction in medical imaging" and MathDataLab. The main organizers are Jonas Adler (Elekta and KTH), Axel Ringh (KTH) and Sebastian Banert (KTH).