Christopher Hillar

The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks

An important problem in signal processing and deep learning is to achieve *invariance* to nuisance factors not relevant for the task. Since many of these factors are describable as the action of a group $G$ (e.g. rotations, translations, scalings), we want methods to be $G$-invariant. The $G$-Bispec…