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Deep Roto-Translation Scattering for Object Classification.
Edouard Oyallon, Stéphane Mallat: Deep Roto-Translation Scattering for Object Classification. CoRR abs/1412.8659 (2014)
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Generic Deep Networks with Wavelet Scattering.
Edouard Oyallon, Stéphane Mallat, Laurent Sifre: Generic Deep Networks with Wavelet Scattering. ICLR (Workshop Poster) 2014
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Deep roto-translation scattering for object classification.
Edouard Oyallon, Stéphane Mallat: Deep roto-translation scattering for object classification. CVPR 2015: 2865-2873
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An Analysis of the SURF Method.
Edouard Oyallon, Julien Rabin: An Analysis of the SURF Method. Image Process. Line 5: 176-218 (2015)
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Scaling the Scattering Transform: Deep Hybrid Networks.
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko: Scaling the Scattering Transform: Deep Hybrid Networks. CoRR abs/1703.08961 (2017)
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Multiscale Hierarchical Convolutional Networks.
Jörn-Henrik Jacobsen, Edouard Oyallon, Stéphane Mallat, Arnold W. M. Smeulders: Multiscale Hierarchical Convolutional Networks. CoRR abs/1703.04140 (2017)
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Building a Regular Decision Boundary with Deep Networks.
Edouard Oyallon: Building a Regular Decision Boundary with Deep Networks. CoRR abs/1703.01775 (2017)
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Scaling the Scattering Transform: Deep Hybrid Networks.
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko: Scaling the Scattering Transform: Deep Hybrid Networks. ICCV 2017: 5619-5628
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Building a Regular Decision Boundary with Deep Networks.
Edouard Oyallon: Building a Regular Decision Boundary with Deep Networks. CVPR 2017: 1886-1894
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Analyzing and Introducing Structures in Deep Convolutional Neural Networks....
Edouard Oyallon: Analyzing and Introducing Structures in Deep Convolutional Neural Networks. (Analyse et structuration des réseaux de neurones convolutifs profonds). PSL Research University, Paris,...
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Greedy Layerwise Learning Can Scale to ImageNet.
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon: Greedy Layerwise Learning Can Scale to ImageNet. CoRR abs/1812.11446 (2018)
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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,...
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Compressing the Input for CNNs with the First-Order Scattering Transform.
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko: Compressing the Input for CNNs with the First-Order Scattering Transform. CoRR abs/1809.10200 (2018)
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Scattering Networks for Hybrid Representation Learning.
Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky: Scattering Networks for Hybrid Representation Learning. CoRR...
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Nonlinear Acceleration of CNNs.
Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach: Nonlinear Acceleration of CNNs. CoRR abs/1806.00370 (2018)
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Nonlinear Acceleration of Deep Neural Networks.
Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach: Nonlinear Acceleration of Deep Neural Networks. CoRR abs/1805.09639 (2018)
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i-RevNet: Deep Invertible Networks.
Jörn-Henrik Jacobsen, Arnold W. M. Smeulders, Edouard Oyallon: i-RevNet: Deep Invertible Networks. CoRR abs/1802.07088 (2018)
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Nonlinear Acceleration of CNNs.
Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach: Nonlinear Acceleration of CNNs. ICLR (Workshop) 2018
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i-RevNet: Deep Invertible Networks.
Jörn-Henrik Jacobsen, Arnold W. M. Smeulders, Edouard Oyallon: i-RevNet: Deep Invertible Networks. ICLR (Poster) 2018
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Compressing the Input for CNNs with the First-Order Scattering Transform.
Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko: Compressing the Input for CNNs with the First-Order Scattering Transform. ECCV (9) 2018: 305-320
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