Groups
Category
Gauge equivariant networks are neural networks that respect local symmetries (gauges) on manifolds, such as how vectors rotate when you change the local reference frame on a surface.
Group convolution combines two functions defined on a group by summing over products aligned by the group operation, generalizing the usual circular convolution on integers modulo n.