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Inversion dynamics of class manifolds in deep learning reveals tradeoffs
  underlying generalisation

Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation

9 March 2023
Simone Ciceri
Lorenzo Cassani
Matteo Osella
P. Rotondo
P. Pizzochero
M. Gherardi
ArXivPDFHTML

Papers citing "Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation"

2 / 2 papers shown
Title
The activity-weight duality in feed forward neural networks: The
  geometric determinants of generalization
The activity-weight duality in feed forward neural networks: The geometric determinants of generalization
Yu Feng
Yuhai Tu
MLT
75
14
0
21 Mar 2022
Data-driven emergence of convolutional structure in neural networks
Data-driven emergence of convolutional structure in neural networks
Alessandro Ingrosso
Sebastian Goldt
50
38
0
01 Feb 2022
1