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A Complete Set of Quadratic Constraints for Repeated ReLU and
  Generalizations

A Complete Set of Quadratic Constraints for Repeated ReLU and Generalizations

9 July 2024
Sahel Vahedi Noori
Bin Hu
Geir Dullerud
Peter M. Seiler
ArXivPDFHTML

Papers citing "A Complete Set of Quadratic Constraints for Repeated ReLU and Generalizations"

12 / 12 papers shown
Title
Stability and Performance Analysis of Discrete-Time ReLU Recurrent
  Neural Networks
Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks
Sahel Vahedi Noori
Bin Hu
Geir Dullerud
Peter M. Seiler
47
2
0
08 May 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted
  Activations
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
Patricia Pauli
Aaron J. Havens
Alexandre Araujo
Siddharth Garg
Farshad Khorrami
Frank Allgöwer
Bin Hu
86
4
0
25 Jan 2024
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
53
11
0
29 Sep 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks
A Unified Algebraic Perspective on Lipschitz Neural Networks
Alexandre Araujo
Aaron J. Havens
Blaise Delattre
A. Allauzen
Bin Hu
AAML
53
56
0
06 Mar 2023
A Quantitative Geometric Approach to Neural-Network Smoothness
A Quantitative Geometric Approach to Neural-Network Smoothness
Zehao Wang
Gautam Prakriya
S. Jha
76
13
0
02 Mar 2022
Stability Analysis of Recurrent Neural Networks by IQC with Copositive
  Mutipliers
Stability Analysis of Recurrent Neural Networks by IQC with Copositive Mutipliers
Y. Ebihara
Hayato Waki
Victor Magron
N. Mai
D. Peaucelle
Sophie Tarbouriech
32
9
0
09 Feb 2022
Reduced-Order Neural Network Synthesis with Robustness Guarantees
Reduced-Order Neural Network Synthesis with Robustness Guarantees
R. Drummond
M. Turner
S. Duncan
48
10
0
18 Feb 2021
Approximating Lipschitz continuous functions with GroupSort neural
  networks
Approximating Lipschitz continuous functions with GroupSort neural networks
Ugo Tanielian
Maxime Sangnier
Gérard Biau
46
36
0
09 Jun 2020
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural
  Networks
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Mahyar Fazlyab
Alexander Robey
Hamed Hassani
M. Morari
George J. Pappas
87
456
0
12 Jun 2019
Safety Verification and Robustness Analysis of Neural Networks via
  Quadratic Constraints and Semidefinite Programming
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming
Mahyar Fazlyab
M. Morari
George J. Pappas
AAML
73
231
0
04 Mar 2019
Sorting out Lipschitz function approximation
Sorting out Lipschitz function approximation
Cem Anil
James Lucas
Roger C. Grosse
80
321
0
13 Nov 2018
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
454
12,680
0
11 Dec 2014
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