Gaspar Rochette

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Multivariate Gaussian Distribution

Financial Time Series

Convolutional Neural Networks

Top Venues

J. Mach. Learn. Res.

Publications

Florentin Guth, Brice Ménard, Gaspar Rochette, Stéphane Mallat
A Rainbow in Deep Network Black Boxes. CoRR (2023)
Rahil Parikh, Gaspar Rochette, Carol Y. Espy-Wilson, Shihab A. Shamma
An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models. CoRR (2022)
Rudy Morel, Gaspar Rochette, Roberto Leonarduzzi, Jean-Philippe Bouchaud, Stéphane Mallat
Scale Dependencies and Self-Similarity Through Wavelet Scattering Covariance. CoRR (2022)
Rahil Parikh, Gaspar Rochette, Carol Y. Espy-Wilson, Shihab Shamma
An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models. INTERSPEECH (2022)
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-Emanuele Cella, Michael Eickenberg
Kymatio: Scattering Transforms in Python. J. Mach. Learn. Res. 21 (2020)
Roberto Leonarduzzi, Gaspar Rochette, Jean-Phillipe Bouchaud, Stéphane Mallat
Maximum-entropy Scattering Models for Financial Time Series. ICASSP (2019)
Gaspar Rochette, Andre Manoel, Eric W. Tramel
Efficient Per-Example Gradient Computations in Convolutional Neural Networks. CoRR (2019)
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-Emanuele Cella, Michael Eickenberg
Kymatio: Scattering Transforms in Python. CoRR (2018)
Stéphane Mallat, Sixin Zhang, Gaspar Rochette
Phase Harmonics and Correlation Invariants in Convolutional Neural Networks. CoRR (2018)