708 citations · 2.8k across the 48 of their papers we have counts for
4 papers · 1 filter
Deep Roto-Translation Scattering for Object Classification
Edouard Oyallon, Stéphane Mallat
Dictionary learning algorithms or supervised deep convolution networks have considerably improved the efficiency of predefined feature representations such as SIFT. We introduce a…
Unsupervised Deep Haar Scattering on Graphs
Xu Chen, Xiuyuan Cheng, Stéphane Mallat
The classification of high-dimensional data defined on graphs is particularly difficult when the graph geometry is unknown. We introduce a Haar scattering transform on graphs, whic…
Phase retrieval for the Cauchy wavelet transform
Stéphane Mallat, Irène Waldspurger
We consider the phase retrieval problem in which one tries to reconstruct a function from the modulus of its wavelet transform. We study the unicity and stability of the reconstruc…
Rigid-Motion Scattering for Texture Classification
Laurent SIfre, Stéphane Mallat
A rigid-motion scattering computes adaptive invariants along translations and rotations, with a deep convolutional network. Convolutions are calculated on the rigid-motion group, w…