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Edouard Oyallon
Edouard Oyallon
CNRS, Sorbonne University
Verified email at cnrs.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
8542019
Why do tree-based models still outperform deep learning on typical tabular data?
L Grinsztajn, E Oyallon, G Varoquaux
Advances in neural information processing systems 35, 507-520, 2022
718*2022
i-RevNet: Deep Invertible Networks
JH Jacobsen, A Smeulders, E Oyallon
International Conference on Learning Representations (ICLR), 2018
3642018
Deep Roto-translation Scattering for Object Classification
E Oyallon, S Mallat
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2865-2873, 2015
2572015
Scaling the Scattering Transform: Deep Hybrid Networks
E Oyallon, E Belilovsky, S Zagoruyko
The IEEE International Conference on Computer Vision (ICCV), 5618-5627, 2017
1882017
An Analysis of the SURF Method
E Oyallon, J Rabin
Image Processing On Line 5, 176-218, 2015
188*2015
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
1842019
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
1632020
Decoupled Greedy Learning of CNNs
E Belilovsky, M Eickenberg, E Oyallon
International Conference on Machine Learning, 736-745, 2020
1082020
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
942018
Generic Deep Networks with Wavelet Scattering
E Oyallon, S Mallat, L Sifre
International Conference on Learning Representations (ICLR) Workshop track, 2014
56*2014
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
382018
Nonlinear Acceleration of CNNs
D Scieur, E Oyallon, A d'Aspremont, F Bach
International Conference on Learning Representations (ICLR) Workshop track, 2018
38*2018
Building a Regular Decision Boundary with Deep Networks
E Oyallon
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5106-5114, 2017
332017
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
30*2014
Hierarchical Attribute CNNs
JH Jacobsen, E Oyallon, S Mallat, AWM Smeulders
ICML 2017 Workshop on Principled Approaches to Deep Learning, 2017
25*2017
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
L Thiry, M Arbel, E Belilovsky, E Oyallon
International Conference on Learning Representations, 2021
16*2021
Gradient masked averaging for federated learning
I Tenison, SA Sreeramadas, V Mugunthan, E Oyallon, E Belilovsky, I Rish
arXiv preprint arXiv:2201.11986, 2022
142022
Analyzing and Introducing Structures in Deep Convolutional Neural Networks
E Oyallon
Paris Sciences et Lettres, 2017
122017
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
92021
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Articles 1–20