Edouard Oyallon
Edouard Oyallon
CNRS, LIP6
Verified email at lip6.fr - Homepage
Title
Cited by
Cited by
Year
On Lazy Training in Differentiable Programming
L Chizat, E Oyallon, F Bach
Advances in Neural Information Processing Systems 32, 2937--2947, 2019
3052019
i-RevNet: Deep Invertible Networks
JH Jacobsen, A Smeulders, E Oyallon
International Conference on Learning Representations (ICLR), 2018
2032018
Deep Roto-translation Scattering for Object Classification
E Oyallon, S Mallat
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2865-2873, 2015
1822015
An Analysis of the SURF Method
E Oyallon, J Rabin
Image Processing On Line 5, 176-218, 2015
124*2015
Scaling the Scattering Transform: Deep Hybrid Networks
E Oyallon, E Belilovsky, S Zagoruyko
The IEEE International Conference on Computer Vision (ICCV), 5618-5627, 2017
1002017
Greedy Layerwise Learning can Scale to ImageNet
E Belilovsky, M Eickenberg, E Oyallon
Proceedings of the 36th International Conference on Machine Learning 97, 583-593, 2019
622019
Kymatio: Scattering Transforms in Python.
M Andreux, T Angles, G Exarchakis, R Leonarduzzi, G Rochette, L Thiry, ...
J. Mach. Learn. Res. 21 (60), 1-6, 2020
372020
Generic Deep Networks with Wavelet Scattering
E Oyallon, S Mallat, L Sifre
International Conference on Learning Representations (ICLR) Workshop track, 2014
362014
Decoupled Greedy Learning of CNNs
E Belilovsky, M Eickenberg, E Oyallon
International Conference on Machine Learning, 736-745, 2020
352020
Scattering Networks for Hybrid Representation Learning
E Oyallon, S Zagoruyko, G Huang, N Komodakis, S Lacoste-Julien, ...
IEEE transactions on pattern analysis and machine intelligence 41 (9), 2208-2221, 2018
332018
Scatnet
J Andén, L Sifre, S Mallat, M Kapoko, V Lostanlen, E Oyallon
Computer Software. Available: http://www.di.ens.fr/data/software/scatnet, 2014
23*2014
Hierarchical Attribute CNNs
JH Jacobsen, E Oyallon, S Mallat, AWM Smeulders
ICML 2017 Workshop on Principled Approaches to Deep Learning, 2017
21*2017
Nonlinear Acceleration of CNNs
D Scieur, E Oyallon, A d'Aspremont, F Bach
International Conference on Learning Representations (ICLR) Workshop track, 2018
20*2018
Compressing the Input for CNNs with the First-order Scattering Transform
E Oyallon, E Belilovsky, S Zagoruyko, M Valko
Proceedings of the European Conference on Computer Vision (ECCV), 301-316, 2018
162018
Building a Regular Decision Boundary with Deep Networks
E Oyallon
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5106-5114, 2017
142017
Analyzing and Introducing Structures in Deep Convolutional Neural Networks
E Oyallon
Paris Sciences et Lettres, 2017
62017
Interferometric Graph Transform: a Deep Unsupervised Graph Representation
E Oyallon
International Conference on Machine Learning, 7434-7444, 2020
42020
Interferometric Graph Transform for Community Labeling
N Grinsztajn, L Leconte, P Preux, E Oyallon
arXiv preprint arXiv:2106.05875, 2021
12021
Low-Rank Projections of GCNs Laplacian
N Grinsztajn, P Preux, E Oyallon
ICLR Workshop GTRL, 2021
12021
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning
E Belilovsky, L Leconte, L Caccia, M Eickenberg, E Oyallon
arXiv preprint arXiv:2106.06401, 2021
2021
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