Geometry, Algebra and Physics inDeep Neural
Networks
The research group on Geometry, Algebra and Physics in Deep Neural Networks
(GAPinDNNs) is based at the Department for Mathematical Sciences at Chalmers
University of Technology and the University of Gothenburg. Our vision is to develop a mathematical foundation for deep learning which elevates the field into a theoretically well-grounded science.
News
Learning on Graphs and Geometry Meetup Sweden
11 Feb 2025
Elias Nyholm is one of the organisers of the LoG Meetup Sweden in Uppsala this year. This two-day workshop is the official local meetup of the online LoG Conference and will consist of keynote talks, contributed talks and a poster session.
This week Elias Nyholm is attending the CaLISTA workshop on Geometry-Informed Machine Learning in Paris, where he will present a poster on General Equivariant Transformers.