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Geometric Deep Learning

Notes on equivariant networks, graph neural networks, and symmetry in deep learning. Covers E(3)-equivariance and geometric representations.
Machine Learning Fundamentals
Comparison of standard 3D CNN versus 3D Steerable CNN for handling rotational symmetry

3D Steerable CNNs: Rotationally Equivariant Features

Weiler et al.'s NeurIPS 2018 paper introducing SE(3)-equivariant CNNs for volumetric data using group theory and …