GDL Keynotes

To accompany our (proto-)book’s release, and elucidate the key concepts of our work, we have delivered a series of keynote talks at machine learning conferences and seminars. We make the most relevant such talks (including key talks by other speakers) easily accessible here.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics and Gauges Petar Veličković Friedrich-Alexander Universität Erlangen-Nürnberg Proto-book launch keynote, at the birthplace of the Erlangen Program
Geometric Deep Learning: The Erlangen Programme of ML Michael M. Bronstein ICLR 2021 Keynote Talk An infographic ‘tour de force’ into all things GDL
Geometric Deep Learning Geordie Williamson Machine Learning for the Working Mathematician A top representation theorist’s perspectives on GDL
Equivariant Networks Taco Cohen, Risi Kondor NeurIPS 2020 Tutorial Focussed tutorial on building equivariant models: the essence of GDL