S. Mallat, Group Invariant Scattering, Communications on Pure and Applied Mathematics, vol.37, issue.10, pp.1331-1398, 2012.
DOI : 10.1137/S0036141002404838

J. Bruna and S. Mallat, Invariant Scattering Convolution Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.8, pp.1872-1886, 2013.
DOI : 10.1109/TPAMI.2012.230

L. Sifre and S. Mallat, Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.1233-1240, 2013.
DOI : 10.1109/CVPR.2013.163
URL : http://www.cmapx.polytechnique.fr/~sifre/research/cvpr_13_sifre_mallat_final.pdf

M. Hirn, N. Poilvert, and S. Mallat, Quantum energy regression using scattering transforms

J. Andén, V. Lostanlen, and S. Mallat, Joint time-frequency scattering for audio classification, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP), 2015.
DOI : 10.1109/MLSP.2015.7324385

M. Tschannen, T. Kramer, G. Marti, M. Heinzmann, and T. Wiatowki, Heart Sound Classification Using Deep Structured Features, 2016 Computing in Cardiology Conference (CinC), pp.565-568, 2016.
DOI : 10.22489/CinC.2016.162-186

E. Oyallon, A hybrid network: scattering and convnet

T. Wiatowski and H. Bölcskei, A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction, IEEE Transactions on Information Theory
DOI : 10.1109/TIT.2017.2776228

J. Bruna, S. Mallat, E. Bacry, and J. Muzy, Intermittent process analysis with scattering moments, The Annals of Statistics, vol.43, issue.1, pp.323-351, 2015.
DOI : 10.1214/14-AOS1276SUPP
URL : https://hal.archives-ouvertes.fr/hal-01297107

J. Bruna and S. Mallat, Audio texture synthesis with scattering moments

I. Waldspurger, Wavelet transform modulus: phase retrieval and scattering

W. Available, W. Czaja, and . Li, Analysis of time-frequency scattering transforms, 2016.