Phase Harmonics and Correlation Invariants in Convolutional Neural Networks. - Stéphane Mallat; Sixin Zhang; Gaspar Rochette (CoRR, 2018)

Kymatio: Scattering Transforms in Python. - Mathieu Andreux; Tomás Angles; Georgios Exarchakis; Roberto Leonarduzzi; Gaspar Rochette; Louis Thiry; John Zarka; Stéphane Mallat; Joakim Andén; Eugene Belilovsky; Joan Bruna; Vincent Lostanlen; et al. (CoRR, 2018)

Maximum-entropy Scattering Models for Financial Time Series. - Roberto Leonarduzzi; Gaspar Rochette; Jean-Phillipe Bouchaud; Stéphane Mallat (ICASSP, 2019)

Efficient Per-Example Gradient Computations in Convolutional Neural Networks. - Gaspar Rochette; Andre Manoel; Eric W. Tramel (CoRR, 2019)

Kymatio: Scattering Transforms in Python. - Mathieu Andreux; Tomás Angles; Georgios Exarchakis; Roberto Leonarduzzi; Gaspar Rochette; Louis Thiry; John Zarka; Stéphane Mallat; Joakim Andén; Eugene Belilovsky; Joan Bruna; Vincent Lostanlen; et al. (J. Mach. Learn. Res., 2020)

An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models. - Rahil Parikh; Gaspar Rochette; Carol Y. Espy-Wilson; Shihab A. Shamma (INTERSPEECH, 2022)

Scale Dependencies and Self-Similarity Through Wavelet Scattering Covariance. - Rudy Morel; Gaspar Rochette; Roberto Leonarduzzi; Jean-Philippe Bouchaud; Stéphane Mallat (CoRR, 2022)

A Rainbow in Deep Network Black Boxes. - Florentin Guth; Brice Ménard; Gaspar Rochette; Stéphane Mallat (CoRR, 2023)