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Injectivity of ReLU networks: perspectives from statistical physics

Injectivity of ReLU networks: perspectives from statistical physics

Antoine Maillard
Afonso S. Bandeira
David Belius
Ivan Dokmanić
S. Nakajima
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Papers citing "Injectivity of ReLU networks: perspectives from statistical physics"

5 / 5 papers shown
Title
A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists
A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists
Andrea Montanari
Subhabrata Sen
14
13
0
06 Apr 2022
Trumpets: Injective Flows for Inference and Inverse Problems
Trumpets: Injective Flows for Inference and Inverse Problems
K. Kothari
AmirEhsan Khorashadizadeh
Maarten V. de Hoop
Ivan Dokmanić
TPM
32
50
0
20 Feb 2021
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
139
7,554
0
01 Oct 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Henry Gouk
E. Frank
Bernhard Pfahringer
M. Cree
99
473
0
12 Apr 2018
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models
Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models
Jean Barbier
Florent Krzakala
N. Macris
Léo Miolane
Lenka Zdeborová
60
262
0
10 Aug 2017

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