Free Download Equivariant and Coordinate Independent Convolutional Networks: A Gauge Field Theory of Neural Networks
English | 2026 | ISBN: 9819806623 | 592 Pages | PDF (True) | 33 MB
Equivariant networks commute with actions of some symmetry group on their feature spaces. The relevant group actions in this work are geometric transformations of feature fields, like translations, rotations, or reflections of images. Equivariant models generalize everything they learn over the considered group of transformations. This property makes them significantly more data efficient, interpretable, and robust in comparison to non-equivariant models.
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