Soufiane Hayou
Soufiane Hayou
Department of Statistics, University of Oxford
Verified email at stats.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
On the selection of initialization and activation function for deep neural networks
S Hayou, A Doucet, J Rousseau
arXiv preprint arXiv:1805.08266, 2018
472018
On the impact of the activation function on deep neural networks training
S Hayou, A Doucet, J Rousseau
International Conference on Machine Learning, 2672-2680, 2019
442019
On the impact of the activation function on deep neural networks training
S Hayou, A Doucet, J Rousseau
36th International Conference on Machine Learning (ICML 2019), 2019
442019
Mean-field Behaviour of Neural Tangent Kernel for Deep Neural Networks
S Hayou, A Doucet, J Rousseau
arXiv preprint arXiv:1905.13654, 2019
62019
Mean-field behaviour of neural tangent kernel for deep neural networks
S Hayou, A Doucet, J Rousseau
arXiv preprint arXiv:1905.13654, 2019
62019
Training dynamics of deep networks using stochastic gradient descent via neural tangent kernel
S Hayou, A Doucet, J Rousseau
arXiv preprint arXiv:1905.13654, 2019
62019
Pruning untrained neural networks: Principles and analysis
S Hayou, JF Ton, A Doucet, YW Teh
9th International Conference on Learning Representations (ICLR 2021), 2020
42020
On the selection of initialization and activation function for deep neural networks. arXiv Prepr
S Hayou, A Doucet, J Rousseau
arXiv preprint arXiv:1805.08266, 2018
22018
Robust Pruning at Initialization
S Hayou, JF Ton, A Doucet, YW Teh
12021
Stable ResNet
S Hayou, E Clerico, B He, G Deligiannidis, A Doucet, J Rousseau
24th International Conference on Artificial Intelligence and Statistics …, 2020
2020
On the overestimation of the largest eigenvalue of a covariance matrix
S Hayou
arXiv preprint arXiv:1708.03551, 2017
2017
Cleaning the correlation matrix with a denoising autoencoder
S Hayou
arXiv preprint arXiv:1708.02985, 2017
2017
On the Impact of the Activation Function on Deep Neural Networks Training: Supplementary material
S Hayou, A Doucet, J Rousseau
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