Prerequisites IV: Category Theory - Pim de Haan
1:34:14
Lecture 1: A Brief History of Geometric Deep Learning - Michael Bronstein
1:10:50
Prerequisites I: Groups, Representations & Equivariance - Maurice Weiler
1:28:03
Lecture 7: From Equivariance to Naturality - Pim de Haan
42:07
Prerequisites III: Manifolds & Fiber Bundles - Maurice Weiler
22:59
O Paradoxo da Cúpula: Uma Brecha nas Leis de Newton
22:57
Prerequisites II: Topology - Cristian Bodnar
1:28:36
Lecture 3: Sheaf Neural Networks - Cristian Bodnar
1:26:00