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Deep convolutional classifiers linearly separate image classes and improve accuracy as depth increases.
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Invariant scattering convolution networks
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Rotation, scaling and deformation invariant scattering for texture discrimination
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O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei · 2015
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Deep neural networks with random gaussian weights: A universal classification strategy?
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A mathematical motivation for complex-valued convolutional networks
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Deep dictionary learning: A parametric network approach
S. Mahdizadehaghdam, A. Panahi, H. Krim, and L. Dai · 2019
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Robust and interpretable blind image denoising via bias-free convolutional neural networks
S. Mohan, Z. Kadkhodaie, E. P. Simoncelli, and C. Fernandez-Granda · 2019
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Harmonic networks for image classification
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Phase harmonic correlations and convolutional neural networks
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Prevalence of neural collapse during the terminal phase of deep learning training
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Deep network classification by scattering and homotopy dictionary learning
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Kymatio: Scattering transforms in python
M. Andreux, T. Angles, G. Exarchakis, R. Leonarduzzi, G. Rochette, L. Thiry, J. Zarka, S. Mallat, J. Andén, E. Belilovsky, J. Bruna, V. Lostanlen, M. J. Hirn, E. Oyallon, S. Zhang, C. E. Cella, and M. Eickenberg · 2020
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