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Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural
  Networks

Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks

2 April 2022
Anton Xue
Lars Lindemann
Alexander Robey
Hamed Hassani
George J. Pappas
Rajeev Alur
ArXivPDFHTML

Papers citing "Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks"

5 / 5 papers shown
Title
Probabilistic Stability Guarantees for Feature Attributions
Probabilistic Stability Guarantees for Feature Attributions
Helen Jin
Anton Xue
Weiqiu You
Surbhi Goel
Eric Wong
27
0
0
18 Apr 2025
Improved Scalable Lipschitz Bounds for Deep Neural Networks
Improved Scalable Lipschitz Bounds for Deep Neural Networks
U. Syed
Bin Hu
BDL
56
0
0
18 Mar 2025
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Mahyar Fazlyab
Taha Entesari
Aniket Roy
Ramalingam Chellappa
AAML
16
11
0
29 Sep 2023
Lipschitz constant estimation for 1D convolutional neural networks
Lipschitz constant estimation for 1D convolutional neural networks
Patricia Pauli
Dennis Gramlich
Frank Allgöwer
20
13
0
28 Nov 2022
Analytical bounds on the local Lipschitz constants of ReLU networks
Analytical bounds on the local Lipschitz constants of ReLU networks
Trevor Avant
K. Morgansen
FAtt
19
12
0
29 Apr 2021
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