Geiger, Mario
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2

A recipe for cracking the quantum scaling limit with machin..:

Rackers, Joshua A ; Tecot, Lucas ; Geiger, Mario.
Machine Learning: Science and Technology.  4 (2023)  1 - p. 015027 , 2023
 
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3

Relative stability toward diffeomorphisms indicates perform..:

Petrini, Leonardo ; Favero, Alessandro ; Geiger, Mario.
Journal of Statistical Mechanics: Theory and Experiment.  2022 (2022)  11 - p. 114013 , 2022
 
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7

Geometric compression of invariant manifolds in neural netw..:

Paccolat, Jonas ; Petrini, Leonardo ; Geiger, Mario..
Journal of Statistical Mechanics: Theory and Experiment.  2021 (2021)  4 - p. 044001 , 2021
 
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8

Asymptotic learning curves of kernel methods: empirical dat..:

Spigler, Stefano ; Geiger, Mario ; Wyart, Matthieu
Journal of Statistical Mechanics: Theory and Experiment.  2020 (2020)  12 - p. 124001 , 2020
 
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9

Scaling description of generalization with number of parame..:

Geiger, Mario ; Jacot, Arthur ; Spigler, Stefano...
Journal of Statistical Mechanics: Theory and Experiment.  2020 (2020)  2 - p. 023401 , 2020
 
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10

Disentangling feature and lazy training in deep neural netw..:

Geiger, Mario ; Spigler, Stefano ; Jacot, Arthur.
Journal of Statistical Mechanics: Theory and Experiment.  2020 (2020)  11 - p. 113301 , 2020
 
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12

Comparing dynamics: deep neural networks versus glassy syst..:

Baity-Jesi, Marco ; Sagun, Levent ; Geiger, Mario...
Journal of Statistical Mechanics: Theory and Experiment.  2019 (2019)  12 - p. 124013 , 2019
 
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