Gaspar Rochette

According to our database, Gaspar Rochette authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Rainbow in Deep Network Black Boxes.

Florentin Guth, Brice Ménard, Gaspar Rochette, Stéphane Mallat

J. Mach. Learn. Res., 2024

2023

Génération de séries temporelles en liant les échelles avec la phase et des caractéristiques aléatoires, et applications à l'audio. (Time-series generation by connecting scales with phase and random features, and applications to audio).

Gaspar Rochette

PhD thesis, 2023

2022

Scale Dependencies and Self-Similarity Through Wavelet Scattering Covariance.

Rudy Morel, Gaspar Rochette, Roberto Leonarduzzi, Jean-Philippe Bouchaud, Stéphane Mallat

CoRR, 2022

An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models.

Rahil Parikh, Gaspar Rochette, Carol Y. Espy-Wilson, Shihab A. Shamma

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2020

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, Muawiz Chaudhary, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine Cella, Michael Eickenberg

J. Mach. Learn. Res., 2020

2019

Efficient Per-Example Gradient Computations in Convolutional Neural Networks.

Gaspar Rochette, Andre Manoel, Eric W. Tramel

CoRR, 2019

Maximum-entropy Scattering Models for Financial Time Series.

Roberto Leonarduzzi, Gaspar Rochette, Jean-Phillipe Bouchaud, Stéphane Mallat

Proceedings of the IEEE International Conference on Acoustics, 2019

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, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine Cella, Michael Eickenberg

CoRR, 2018

Phase Harmonics and Correlation Invariants in Convolutional Neural Networks.

Stéphane Mallat, Sixin Zhang, Gaspar Rochette

CoRR, 2018