Stéphane d'Ascoli
Stéphane d'Ascoli
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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
January 2020
Cite
ArXiv
J. Stat. Mech
Type
Journal article
Publication
Journal of Statistical Mechanics: Theory and Experiment
Related
Jamming transition as a paradigm to understand the loss landscape of deep neural networks
Triple descent and the two kinds of overfitting: where & why do they appear?
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
Double Trouble in Double Descent: Bias and Variance (s) in the Lazy Regime
Electromagnetic Emission from Supermassive Binary Black Holes Approaching Merger
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