Scattering Transforms and Deep Learning

Relevant Papers

  • Scattering Statistics of Generalized Spatial Poisson Point Processes. With Michael Perlmutter and Jieqian He. 2019. pdf, arXiv.
  • Geometric Scattering on Manifolds. With Michael Perlmutter and Guy Wolf.
    • A short version of this paper appeared In the NeurIPS Workshop on Integration of Deep Learning Theories, Montreal, Canada, December 8, 2018 (contributed spotlight talk). pdf, NIPS DLTheory.
    • A longer version of this paper can be found here: pdfarXiv.
  • Geometric Scattering for Graph Data Analysis. With Feng Gao and Guy Wolf. 2019.
    • A short version of this paper will appear in the ICLR Workshop on Representation Learning on Graphs and Manifolds, New Orleans, United States, May 6, 2019. pdf, ICLR RLGM.
    • A longer version of this paper (with no appendices though) will appear in the SDM19 Workshop on Deep Learning for Graphs, Calgary, Canada, May 4, 2019. pdf, SDM19 DLG.
    • The full version of this paper can be found here: arXiv.
  • Kymatio: Scattering Transforms in Python. With Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gasper Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Edouard Oyallon, Sixhin Zhang, Carmine Cella, Michael Eickenberg. 2018. pdfarXiv.
  • Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction (contributed spotlight talk). With Xavier Brumwell, Paul Sinz, Kwang Jin Kim and Yue Qi. In NeurIPS Workshop on Machine Learning for Molecules and Materials, Montreal, Canada, December 8, 2018. pdf, arXiv, NIPS MLMM.
  • Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties (Editor’s Pick). With Michael Eickenberg, Georgios Exarchakis, Stéphane Mallat and Louis Thiry. Journal of Chemical Physics, volume 148, 241732, 2018. pdf, arXiv, AIP.
  • Solid Harmonic Wavelet Scattering. With Michael Eickenberg, Georgios Exarchakis and Stéphane Mallat. Advances in Neural Information Processing Systems 30 (NIPS 2017), pages 6543-6552, 2017. pdf, NIPS Proceedings.
  • Wavelet Scattering Regression of Quantum Chemical Energies. With Stéphane Mallat and Nicolas Poilvert. Multiscale Modeling and Simulation, volume 15, issue 2, 827-863, 2017. pdfarXiv, MMSSoftware.
  • Quantum Energy Regression using Scattering Transforms. With Nicolas Poilvert and Stéphane Mallat. 2015. pdfarXiv.