| On lazy training in differentiable programming L Chizat, E Oyallon, F Bach arXiv preprint arXiv:1812.07956, 2018 | 253 | 2018 |
| Deep roto-translation scattering for object classification E Oyallon, S Mallat The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2865-2873, 2015 | 180 | 2015 |
| i-RevNet: Deep Invertible Networks JH Jacobsen, A Smeulders, E Oyallon International Conference on Learning Representations (ICLR), 2018 | 175 | 2018 |
| An analysis of the SURF method E Oyallon, J Rabin Image Processing On Line 5, 176-218, 2015 | 120* | 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 | 97 | 2017 |
| 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 | 54 | 2019 |
| Generic deep networks with wavelet scattering E Oyallon, S Mallat, L Sifre International Conference on Learning Representations (ICLR) Workshop track, 2014 | 36 | 2014 |
| 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 | 34 | 2020 |
| 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 | 28 | 2018 |
| Decoupled Greedy Learning of CNNs E Belilovsky, M Eickenberg, E Oyallon International Conference on Machine Learning, 736-745, 2020 | 27 | 2020 |
| 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 | 14 | 2017 |
| 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 | 13 | 2018 |
| Analyzing and Introducing Structures in Deep Convolutional Neural Networks E Oyallon Paris Sciences et Lettres, 2017 | 6 | 2017 |
| Interferometric graph transform: a deep unsupervised graph representation E Oyallon International Conference on Machine Learning, 7434-7444, 2020 | 2 | 2020 |
| 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 |
| LOW-RANK PROJECTIONS OF GCNS LAPLACIAN N Grinsztajn, P Preux, E Oyallon | | |
Eugene BelilovskyAssistant Professor, Concordia UniversityAdresse e-mail validée de concordia.ca
