This is the webpage of the Geometric Deep Learning Reading Group at Mila. We aim at presenting and discussing work at the forefront of this exciting research area. Topics of interest include (but are not limited to) equivariant deep learning, learning on manifolds and non-Euclidean data and geometric priors for deep learning.

We host meetings every two weeks on Thursdays, from 11AM to noon EST. See the schedule below to see coming and past talks. Please reach out to us if you would like to present your work or suggest speakers.