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Convolutional Neural Networks as 2-D systems

Convolutional Neural Networks as 2-D systems

6 March 2023
Dennis Gramlich
Patricia Pauli
C. Scherer
Frank Allgöwer
C. Ebenbauer
    3DV
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Papers citing "Convolutional Neural Networks as 2-D systems"

7 / 7 papers shown
Title
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
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
38
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
43
4
0
25 Jan 2024
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
Lipschitz constant estimation for 1D convolutional neural networks
Lipschitz constant estimation for 1D convolutional neural networks
Patricia Pauli
Dennis Gramlich
Frank Allgöwer
31
13
0
28 Nov 2022
Efficient-CapsNet: Capsule Network with Self-Attention Routing
Efficient-CapsNet: Capsule Network with Self-Attention Routing
Vittorio Mazzia
Francesco Salvetti
Marcello Chiaberge
3DPC
MedIm
75
175
0
29 Jan 2021
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