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Wyart, Matthieu
255  results:
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1

How Deep Neural Networks Learn Compositional Data: The Rand..:

Cagnetta, Francesco ; Petrini, Leonardo ; Tomasini, Umberto M...
Physical Review X.  14 (2024)  3 - p. , 2024
Link: https://doi.org/10.1103/..
 
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2

Local vs. cooperative: Unraveling glass transition mechanis..:

Pica Ciamarra, Massimo ; Ji, Wencheng ; Wyart, Matthieu
Proceedings of the National Academy of Sciences.  121 (2024)  22 - p. , 2024
Link: https://doi.org/10.1073/..
 
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3

On the different regimes of stochastic gradient descent:

Sclocchi, Antonio ; Wyart, Matthieu
Proceedings of the National Academy of Sciences.  121 (2024)  9 - p. , 2024
Link: https://doi.org/10.1073/..
 
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4

Learning sparse features can lead to overfitting in neural ..:

Petrini, Leonardo ; Cagnetta, Francesco ; Vanden-Eijnden, Eric.
Journal of Statistical Mechanics: Theory and Experiment.  2023 (2023)  11 - p. 114003 , 2023
Link: https://doi.org/10.1088/..
 
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5

How deep convolutional neural networks lose spatial informa..:

Tomasini, Umberto M ; Petrini, Leonardo ; Cagnetta, Francesco.
Machine Learning: Science and Technology.  4 (2023)  4 - p. 045026 , 2023
Link: https://doi.org/10.1088/..
 
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6

Scaling Description of Dynamical Heterogeneity and Avalanch..:

Tahaei, Ali ; Biroli, Giulio ; Ozawa, Misaki..
Physical Review X.  13 (2023)  3 - p. , 2023
Link: https://doi.org/10.1103/..
 
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7

Locality defeats the curse of dimensionality in convolution..:

Favero, Alessandro ; Cagnetta, Francesco ; Wyart, Matthieu
Journal of Statistical Mechanics: Theory and Experiment.  2022 (2022)  11 - p. 114012 , 2022
Link: https://doi.org/10.1088/..
 
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8

Scaling theory for the statistics of slip at frictional int..:

de Geus, T. W. J. ; Wyart, Matthieu
Physical Review E.  106 (2022)  6 - p. , 2022
Link: https://doi.org/10.1103/..
 
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9

Scaling Description of Creep Flow in Amorphous Solids:

Popović, Marko ; de Geus, Tom W. J. ; Ji, Wencheng..
Physical Review Letters.  129 (2022)  20 - p. , 2022
Link: https://doi.org/10.1103/..
 
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10

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
Link: https://doi.org/10.1088/..
 
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11

Mean-field description for the architecture of low-energy e..:

Ji, Wencheng ; de Geus, Tom W. J. ; Agoritsas, Elisabeth.
Physical Review E.  105 (2022)  4 - p. , 2022
Link: https://doi.org/10.1103/..
 
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12

Landscape and training regimes in deep learning:

Geiger, Mario ; Petrini, Leonardo ; Wyart, Matthieu
Physics Reports.  924 (2021)  - p. 1-18 , 2021
Link: https://doi.org/10.1016/..
 
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13

Inferring the flow properties of epithelial tissues from th..:

Popović, Marko ; Druelle, Valentin ; Dye, Natalie A..
New Journal of Physics.  23 (2021)  3 - p. 033004 , 2021
Link: https://doi.org/10.1088/..
 
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14

Hydrodynamic-driven morphogenesis of karst draperies: spati..:

Ledda, Pier Giuseppe ; Balestra, Gioele ; Lerisson, Gaétan...
Journal of Fluid Mechanics.  910 (2021)  - p. , 2021
Link: https://doi.org/10.1017/..
 
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15

How isotropic kernels perform on simple invariants:

Paccolat, Jonas ; Spigler, Stefano ; Wyart, Matthieu
Machine Learning: Science and Technology.  2 (2021)  2 - p. 025020 , 2021
Link: https://doi.org/10.1088/..
 
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