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Lipschitz constant estimation for 1D convolutional neural networks

Lipschitz constant estimation for 1D convolutional neural networks

28 November 2022
Patricia Pauli
Dennis Gramlich
Frank Allgöwer
ArXivPDFHTML

Papers citing "Lipschitz constant estimation for 1D convolutional neural networks"

11 / 11 papers shown
Title
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
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via
  Dissipative Layers
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers
Patricia Pauli
Ruigang Wang
I. Manchester
Frank Allgöwer
35
2
0
29 Oct 2024
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details
LaDTalk: Latent Denoising for Synthesizing Talking Head Videos with High Frequency Details
Jian Yang
Xukun Wang
Wentao Wang
Guoming Li
Qihang Fang
Ruihong Yuan
Tianyang Wang
Jason Zhaoxin Fan
Yeying Jin
Zhaoxin Fan
VGen
47
1
0
01 Oct 2024
A Complete Set of Quadratic Constraints for Repeated ReLU and
  Generalizations
A Complete Set of Quadratic Constraints for Repeated ReLU and Generalizations
Sahel Vahedi Noori
Bin Hu
Geir Dullerud
Peter M. Seiler
36
0
0
09 Jul 2024
Lipschitz constant estimation for general neural network architectures
  using control tools
Lipschitz constant estimation for general neural network architectures using control tools
Patricia Pauli
Dennis Gramlich
Frank Allgöwer
33
4
0
02 May 2024
State space representations of the Roesser type for convolutional layers
State space representations of the Roesser type for convolutional layers
Patricia Pauli
Dennis Gramlich
Frank Allgöwer
25
2
0
18 Mar 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
38
4
0
25 Jan 2024
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven
  Control with Certified Robustness
RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness
Nicholas H. Barbara
Max Revay
Ruigang Wang
Jing Cheng
I. Manchester
OOD
16
4
0
22 Jun 2023
Lipschitz-bounded 1D convolutional neural networks using the Cayley
  transform and the controllability Gramian
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the controllability Gramian
Patricia Pauli
Ruigang Wang
I. Manchester
Frank Allgöwer
32
8
0
20 Mar 2023
Convolutional Neural Networks as 2-D systems
Convolutional Neural Networks as 2-D systems
Dennis Gramlich
Patricia Pauli
C. Scherer
Frank Allgöwer
C. Ebenbauer
3DV
30
8
0
06 Mar 2023
Direct Parameterization of Lipschitz-Bounded Deep Networks
Direct Parameterization of Lipschitz-Bounded Deep Networks
Ruigang Wang
I. Manchester
22
41
0
27 Jan 2023
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