Kymatio: Scattering Transforms in Python

Scikit-learn: Machine learning in Python

F. Pedregosa et al · 2011

Earlier work this paper cites.

Invariant scattering convolution networks

J. Bruna and S. Mallat · 2012

Earlier work this paper cites.

Group invariant scattering

S. Mallat · 2012

Earlier work this paper cites.

Scattering transform for intrapartum fetal heart rate variability fractal analysis: A case-control study

V. Chudáček et al · 2013

Earlier work this paper cites.

Rotation, scaling and deformation invariant scattering for texture discrimination

L. Sifre and S. Mallat · 2013

Earlier work this paper cites.

Deep scattering spectrum

J. Andén and S. Mallat · 2014

Earlier work this paper cites.

Deep scattering spectra with deep neural networks for LVCSR tasks

T. N. Sainath et al · 2014

Cited alongside, same era.

Intermittent process analysis with scattering moments

J. Bruna, S. Mallat, E. Bacry, and J.-F. Muzy · 2015

Cited alongside, same era.

Wavelet scattering on the pitch spiral

V. Lostanlen and S. Mallat · 2015

Cited alongside, same era.

Deep roto-translation scattering for object classification

E. Oyallon and S. Mallat · 2015

Cited alongside, same era.

A deep scattering spectrum–deep siamese network pipeline for unsupervised acoustic modeling

N. Zeghidour et al · 2016

Cited alongside, same era.

3D scattering transforms for disease classification in neuroimaging

T. Adel, T. Cohen, M. Caan, M. Welling, et al · 2017

Cited alongside, same era.

Solid harmonic wavelet scattering: Predicting quantum molecular energy from invariant descriptors of 3D electronic densities

M. Eickenberg et al · 2017

Later among the works it cites.

Exponential decay of scattering coefficients

I. Waldspurger · 2017

Later among the works it cites.

Generative networks as inverse problems with scattering transforms

T. Angles and S. Mallat · 2018

Closest in time.

Solid harmonic wavelet scattering for predictions of molecule properties

M. Eickenberg et al · 2018

Closest in time.

Scattering networks for hybrid representation learning

E. Oyallon et al · 2018

Closest in time.