Wen Lu

Mixture of Lie-Group Kernels for Equivariance-Inspired Feature Learning.

Deep visual models typically achieve robustness to geometric transformations through extensive data augmentation or increased model capacity, yet these empirical strategies do not guarantee explicitly equivariant or structurally constrained representations. While group-equivariant CNNs provide principled mechanisms for...