Kymatio: Scattering Transforms in Python

Abstract:

The wavelet scattering transform is an invariant and stable signal representation suitable for many signal processing and machine learning applications. We present the Kymatio software package, an easy-to-use, high-performance Python implementation of the scattering transform in 1D, 2D, and 3D that is compatible with modern deep learning frameworks, including PyTorch and TensorFlow/Keras. The transforms are implemented on both CPUs and GPUs, the latter offering a significant speedup over the former. The package also has a small memory footprint. Source code, documentation, and examples are available under a BSD license at https://www.kymat.io.

Author:

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

Publication date:

January 1, 2020

Publication type:

Journal Article

Citation:

Andreux, M., Angles, T., Exarchakis, G., Leonarduzzi, R., Rochette, G., Thiry, L., Zarka, J., Mallat, S., Andén, J., Belilovsky, E., Bruna, J., Lostanlen, V., Chaudhary, M., Hirn, M. J., Oyallon, E., Zhang, S., Cella, C., & Eickenberg, M. (2020). Kymatio: Scattering transforms in Python. Journal of Machine Learning Research, 21(60), 1-6.

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