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Articles: 1'998'104
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27 September 2020
 
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Results 1 to 8 of 8 for query "Levent Sagun". (0.01 sec.)


1.
Empirical Analysis of the Hessian of Over-Parametrized Neural Networks
Levent Sagun; Utku Evci; V. Ugur Guney; Yann Dauphin; Leon Bottou;
14 Jun 2017
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2.
Triple descent and the two kinds of overfitting: Where & why do they appear?
Stéphane d'Ascoli; Levent Sagun; Giulio Biroli;
5 Jun 2020
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3.
On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks
Umut Şimşekli; Mert Gürbüzbalaban; Thanh Huy Nguyen; Gaël Richard; Levent Sagun;
29 Nov 2019
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4.
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
Stéphane d'Ascoli; Levent Sagun; Joan Bruna; Giulio Biroli;
16 Jun 2019
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5.
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
Umut Simsekli; Levent Sagun; Mert Gurbuzbalaban;
18 Jan 2019
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6.
Scaling description of generalization with number of parameters in deep learning
Mario Geiger; Arthur Jacot; Stefano Spigler; Franck Gabriel; Levent Sagun; Stéphane d'Ascoli; Giulio Biroli; Clément Hongler; Matthieu Wyart;
6 Jan 2019
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7.
Singularity of the Hessian in Deep Learning
Levent Sagun; Leon Bottou; Yann LeCun;
22 Nov 2016
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8.
Universality in halting time and its applications in optimization
Levent Sagun; Thomas Trogdon; Yann LeCun;
20 Nov 2015
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