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Modelling the influence of data structure on learning in neural
  networks: the hidden manifold model

Modelling the influence of data structure on learning in neural networks: the hidden manifold model

25 September 2019
Sebastian Goldt
M. Mézard
Florent Krzakala
Lenka Zdeborová
    BDL
ArXivPDFHTML

Papers citing "Modelling the influence of data structure on learning in neural networks: the hidden manifold model"

12 / 12 papers shown
Title
Effects of Data Geometry in Early Deep Learning
Effects of Data Geometry in Early Deep Learning
Saket Tiwari
G. Konidaris
59
7
0
29 Dec 2022
Quantifying Relevance in Learning and Inference
Quantifying Relevance in Learning and Inference
M. Marsili
Y. Roudi
6
18
0
01 Feb 2022
The emergence of a concept in shallow neural networks
The emergence of a concept in shallow neural networks
E. Agliari
Francesco Alemanno
Adriano Barra
G. D. Marzo
16
39
0
01 Sep 2021
Learning curves of generic features maps for realistic datasets with a
  teacher-student model
Learning curves of generic features maps for realistic datasets with a teacher-student model
Bruno Loureiro
Cédric Gerbelot
Hugo Cui
Sebastian Goldt
Florent Krzakala
M. Mézard
Lenka Zdeborová
15
135
0
16 Feb 2021
Deep Networks and the Multiple Manifold Problem
Deep Networks and the Multiple Manifold Problem
Sam Buchanan
D. Gilboa
John N. Wright
166
39
0
25 Aug 2020
Geometric compression of invariant manifolds in neural nets
Geometric compression of invariant manifolds in neural nets
J. Paccolat
Leonardo Petrini
Mario Geiger
Kevin Tyloo
M. Wyart
MLT
47
34
0
22 Jul 2020
Generalisation Guarantees for Continual Learning with Orthogonal
  Gradient Descent
Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent
Mehdi Abbana Bennani
Thang Doan
Masashi Sugiyama
CLL
42
61
0
21 Jun 2020
Fractional Deep Neural Network via Constrained Optimization
Fractional Deep Neural Network via Constrained Optimization
Harbir Antil
R. Khatri
R. Löhner
Deepanshu Verma
18
29
0
01 Apr 2020
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy
  Regime
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime
Stéphane dÁscoli
Maria Refinetti
Giulio Biroli
Florent Krzakala
83
152
0
02 Mar 2020
Generalisation error in learning with random features and the hidden
  manifold model
Generalisation error in learning with random features and the hidden manifold model
Federica Gerace
Bruno Loureiro
Florent Krzakala
M. Mézard
Lenka Zdeborová
22
165
0
21 Feb 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
Ginevra Carbone
Matthew Wicker
Luca Laurenti
A. Patané
Luca Bortolussi
G. Sanguinetti
AAML
16
77
0
11 Feb 2020
Hidden Unit Specialization in Layered Neural Networks: ReLU vs.
  Sigmoidal Activation
Hidden Unit Specialization in Layered Neural Networks: ReLU vs. Sigmoidal Activation
Elisa Oostwal
Michiel Straat
Michael Biehl
MLT
56
54
0
16 Oct 2019
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