Organizing committee:
Axel Kisch Flinth, Umeå University
Jan E. Gerken, Chalmers University of Technology
Kathlén Kohn, KTH
Fredrik Ohlsson, Umeå University
We are pleased to again welcome researchers to Umeå University for a workshop exploring different aspects of the vast and rapidly developing field of geometric deep learning. We aim to bring together researchers working at the intersection of physics, mathematics and deep learning, combining geometry and machine learning with a variety of different approaches. In this third installment, we have an explicit aim to highlight the use of geometrical methods in scientific machine learning.
The list of invited speakers will be updated continuously.
The conference will feature invited talks by international experts and contributed research talks from the participants. Graduate students will be given priority in the selection of contributed talks. Our aim is to give young researchers the opportunity to present their research in a specialized but informal atmosphere
The workshop has a maximum number of participants. Registration is on a first-come, first-served basis via the form below.
Registration form - GeUmetric Deep Learning Workshop 2026
Dates: August 17-19, 2026 (lunch-to-lunch)
Location: NAT.D.300, Naturvetarhuset, Umeå University
For inquiries, please contact the organizing committee.
TBA
If you’re travelling by train, you should get off at Umeå Östra and take the escalator exit (on the side of track 2). Then you’re a 5 minute walk from Naturvetarhuset.
If you’re travelling with plane, there is a frequent bus service from the Airport to Vasaplan. From there, take bus 5,8, or 9 to Universum, or 1 to Universitetssjukhuset.
Please note that the workshop takes place before the semester starts, so that all buildings will be locked. If you’re arriving a lot earlier than the start of the conference (13.00 Tuesday), please notify the organizers so that they can let you in.
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