Prerequisites II: Topology - Cristian Bodnar
21:10
Prerequisites IV: Category Theory - Pim de Haan
1:34:14
Lecture 1: A Brief History of Geometric Deep Learning - Michael Bronstein
36:15
Byte Latent Transformer: Patches Scale Better Than Tokens (Paper Explained)
42:07
Prerequisites III: Manifolds & Fiber Bundles - Maurice Weiler
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Lecture 3: Sheaf Neural Networks - Cristian Bodnar
56:33
Riemannian manifolds, kernels and learning
20:47
The Concept So Much of Modern Math is Built On | Compactness
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