Edouard Oyallon
Edouard Oyallon
CNRS, LIP6
Verifierad e-postadress på lip6.fr - Startsida
Titel
Citeras av
Citeras av
År
On lazy training in differentiable programming
L Chizat, E Oyallon, F Bach
arXiv preprint arXiv:1812.07956, 2018
2752018
i-RevNet: Deep Invertible Networks
JH Jacobsen, A Smeulders, E Oyallon
International Conference on Learning Representations (ICLR), 2018
1892018
Deep roto-translation scattering for object classification
E Oyallon, S Mallat
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2865-2873, 2015
1842015
An analysis of the SURF method
E Oyallon, J Rabin
Image Processing On Line 5, 176-218, 2015
121*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
992017
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
592019
Kymatio: Scattering Transforms in Python.
M Andreux, T Angles, G Exarchakis, R Leonarduzzi, G Rochette, L Thiry, ...
Journal of Machine Learning Research 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
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
312018
Decoupled Greedy Learning of CNNs
E Belilovsky, M Eickenberg, E Oyallon
International Conference on Machine Learning, 736-745, 2020
282020
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
Building a Regular Decision Boundary with Deep Networks
E Oyallon
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5106-5114, 2017
162017
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
152018
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
32020
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
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
L Thiry, M Arbel, E Belilovsky, E Oyallon
arXiv preprint arXiv:2101.07528, 2021
2021
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20