GeUmetric Deep Learning Workshop 2025

 

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.

Invited speakers

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 (lunch-to-lunch)

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.

Program

Preliminary program

Contributed speakers

Elias Nyholm, Chalmers University of Technology
Tino Paulsen , Leuphana University
Oscar Carlsson, Chalmers University of Technology, Gothenburg University, 
Emma Andersdotter, Umeå University
Oskar Nordenfors, Umeå University
Ayush Kumar Tewari, RICAM Linz
Stefano Mereta, KTH
Moritz Grillo, TU Berlin
Johanna Marie Gegenfurtner, Technical University of Denmark
Philipp Misof, Chalmers University of Technology, Gothenburg University
Pramod Kumar Mishra, Banaras Hindu University,
Max Guillen, Chalmers University of Technology
Ashima Bansal, IISER, Tirupati, India
Vahid Shahverdi, KTH

Previous workshops

GeUmetric Deep Learning 2024