Organizing committee:
Axel Flinth, Umeå University
Jan E. Gerken, Chalmers University of Technology
Kathlén Kohn, KTH
Giovanni Marchetti, KTH
Stefano Mereta, 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 second installment, we have an explicit aim to also highlight the use of geometrical and algebraical methods for developing theory of deep learning.
Elisenda Grigsby, Boston College
Luca Cosmo, University of Venice
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.
Dates: August 19-21, 2025.
Location: MIT.A.121, MIT Building, Umeå University
Registration: Through this form, no later than August 12th. Maximum amount of participants 40, first come, first serve.
For inquiries, please contact the organizing committee.