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 second installment, we have an explicit aim to also highlight the use of geometrical and algebraical methods for developing theory of deep learning.
The conference will also feature 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.
Oscar Carlsson, Chalmers University of Technology, Gothenburg University Emma Andersdotter, Umeå University Elias Nyholm, Chalmers University of Technology Max Guillen, Chalmers University of Technology Philipp Misof, Chalmers University of Technology, Gothenburg University Oskar Nordenfors, Umeå University Vahid Shahverdi, KTH Stefano Mereta, KTH Alex Massarenti, Universitá di Ferrara Felix Stollenwerk, AI Sweden Hampus Linander, Chalmers University of Technology Tino Paulsen , Leuphana University Longde Huang, Chalmers University of Technology Alexander Friedrich, Umeå University Leonard Mushunje, University of Sydney
Getting to the university
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.