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Improving Lipschitz-Constrained Neural Networks by Learning Activation
  Functions

Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions

28 October 2022
Stanislas Ducotterd
Alexis Goujon
Pakshal Bohra
Dimitris Perdios
Sebastian Neumayer
M. Unser
ArXivPDFHTML

Papers citing "Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions"

5 / 5 papers shown
Title
Parseval Convolution Operators and Neural Networks
Parseval Convolution Operators and Neural Networks
Michael Unser
Stanislas Ducotterd
14
3
0
19 Aug 2024
Spatial Bayesian Neural Networks
Spatial Bayesian Neural Networks
A. Zammit‐Mangion
Michael D. Kaminski
Ba-Hien Tran
Maurizio Filippone
Noel Cressie
BDL
6
7
0
16 Nov 2023
1-Lipschitz Neural Networks are more expressive with N-Activations
1-Lipschitz Neural Networks are more expressive with N-Activations
Bernd Prach
Christoph H. Lampert
AAML
FAtt
11
0
0
10 Nov 2023
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction
  Algorithms
Learning Weakly Convex Regularizers for Convergent Image-Reconstruction Algorithms
Alexis Goujon
Sebastian Neumayer
M. Unser
30
23
0
21 Aug 2023
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
Sahil Singla
Surbhi Singla
S. Feizi
AAML
30
52
0
05 Aug 2021
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