Stéphane d'Ascoli
Cited by
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The jamming transition as a paradigm to understand the loss landscape of deep neural networks
M Geiger, S Spigler, S d'Ascoli, L Sagun, M Baity-Jesi, G Biroli, M Wyart
Physical Review E, 2018
Scaling description of generalization with number of parameters in deep learning
M Geiger, A Jacot, S Spigler, F Gabriel, L Sagun, S d’Ascoli, G Biroli, ...
Journal of Statistical Mechanics: Theory and Experiment 2020 (2), 023401, 2020
A jamming transition from under-to over-parametrization affects loss landscape and generalization
S Spigler, M Geiger, S d'Ascoli, L Sagun, G Biroli, M Wyart
NeurIPS 2018 Workshop "Integration of Deep Learning Theories", 2018
Electromagnetic Emission from Supermassive Binary Black Holes Approaching Merger
S d'Ascoli, SC Noble, DB Bowen, M Campanelli, JH Krolik, V Mewes
The Astrophysical Journal 865 (2), 2018
A jamming transition from under-to over-parametrization affects generalization in deep learning
S Spigler, M Geiger, S d’Ascoli, L Sagun, G Biroli, M Wyart
Journal of Physics A: Mathematical and Theoretical 52 (47), 474001, 2019
Double trouble in double descent: Bias and variance (s) in the lazy regime
S d'Ascoli, M Refinetti, G Biroli, F Krzakala
ICML 2020, 2020
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
S d'Ascoli, L Sagun, J Bruna, G Biroli
NeurIPS 2019, 2019
Triple descent and the two kinds of overfitting: Where & why do they appear?
S d'Ascoli, L Sagun, G Biroli
arXiv preprint arXiv:2006.03509, 2020
Conditioned Query Generation for Task-Oriented Dialogue Systems
S d'Ascoli, A Coucke, F Caltagirone, A Caulier, M Lelarge
SLSP 2020, 2019
Comprendre la révolution de l'intelligence artificielle
S d'Ascoli
First, 2020
Light from Inspiraling Binary Black Holes with Magnetized Mini-disks
S Noble, S d'Ascoli, M Campanelli, D Bowen, J Krolik, V Mewes
APS 2018, D16. 007, 2018
Magnetized Mini-Disk Simulations about Binary Black Holes
S Noble, DB Bowen, S d'Ascoli, V Mewes, M Campanelli, J Krolik
AAS 231, 124.07, 2018
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