Equivariant Neural Network

A neural network architecture that is equivariant to specific symmetry transformations (rotations, translations, reflections) — when the input is transformed, the output transforms predictably. SE(3)-equivariant networks for 3D point cloud manipulation and rotation-equivariant policies are used in robotics to improve sample efficiency by hard-coding symmetry properties.