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Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks

Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks

3 November 2021
A. Shevchenko
Vyacheslav Kungurtsev
Marco Mondelli
    MLT
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Papers citing "Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks"

5 / 5 papers shown
Title
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
Information-theoretic reduction of deep neural networks to linear models in the overparametrized proportional regime
Francesco Camilli
D. Tieplova
Eleonora Bergamin
Jean Barbier
97
0
0
06 May 2025
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
Simone Appella
S. Arridge
Chris Budd
Teo Deveney
L. Kreusser
33
0
0
02 Jul 2024
Penalising the biases in norm regularisation enforces sparsity
Penalising the biases in norm regularisation enforces sparsity
Etienne Boursier
Nicolas Flammarion
32
14
0
02 Mar 2023
Gradient flow dynamics of shallow ReLU networks for square loss and
  orthogonal inputs
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier
Loucas Pillaud-Vivien
Nicolas Flammarion
ODL
19
58
0
02 Jun 2022
Convex Analysis of the Mean Field Langevin Dynamics
Convex Analysis of the Mean Field Langevin Dynamics
Atsushi Nitanda
Denny Wu
Taiji Suzuki
MLT
59
64
0
25 Jan 2022
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