arXiv stat.ML
· Papers
Separation Capacity of Scattering Networks on Low-Dimensional Datasets
arXiv:2607.06048v1 Announce Type: new Abstract: We aim to identify scattering network architectures that maximize the separation capacity on data with low intrinsic dimension. The networks we consider employ a fixed monomial nonlinearity and no pooling, so that the only design variable is the frame generated by the net