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Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz
  Networks

Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks

5 August 2022
Bernd Prach
Christoph H. Lampert
ArXivPDFHTML

Papers citing "Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks"

29 / 29 papers shown
Title
APECS: Adaptive Personalized Control System Architecture
Marius F. R. Juston
Alex Gisi
William R. Norris
Dustin Nottage
A. Soylemezoglu
39
0
0
10 Mar 2025
Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness
Exploring the Impact of Temperature Scaling in Softmax for Classification and Adversarial Robustness
Hao Xuan
Bokai Yang
Xingyu Li
AAML
36
1
0
28 Feb 2025
1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem
Marius F. R. Juston
William R. Norris
Dustin Nottage
A. Soylemezoglu
29
0
0
28 Feb 2025
L-Lipschitz Gershgorin ResNet Network
L-Lipschitz Gershgorin ResNet Network
Marius F. R. Juston
William R. Norris
Dustin Nottage
A. Soylemezoglu
34
0
0
28 Feb 2025
Parseval Regularization for Continual Reinforcement Learning
Parseval Regularization for Continual Reinforcement Learning
Wesley Chung
Lynn Cherif
D. Meger
Doina Precup
CLL
65
1
0
10 Dec 2024
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
30
2
0
29 Oct 2024
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
A. Boroojeny
Hari Sundaram
Varun Chandrasekaran
AAML
15
1
0
07 Oct 2024
1-Lipschitz Neural Distance Fields
1-Lipschitz Neural Distance Fields
Guillaume Coiffier
Louis Bethune
28
3
0
14 Jun 2024
Compositional Curvature Bounds for Deep Neural Networks
Compositional Curvature Bounds for Deep Neural Networks
Taha Entesari
Sina Sharifi
Mahyar Fazlyab
AAML
21
0
0
07 Jun 2024
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
On Robust Reinforcement Learning with Lipschitz-Bounded Policy Networks
Nicholas H. Barbara
Ruigang Wang
I. Manchester
22
4
0
19 May 2024
Hidden Synergy: $L_1$ Weight Normalization and 1-Path-Norm
  Regularization
Hidden Synergy: L1L_1L1​ Weight Normalization and 1-Path-Norm Regularization
Aditya Biswas
25
0
0
29 Apr 2024
Towards Understanding the Word Sensitivity of Attention Layers: A Study
  via Random Features
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
Simone Bombari
Marco Mondelli
26
3
0
05 Feb 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Ruigang Wang
Krishnamurthy Dvijotham
I. Manchester
6
5
0
02 Feb 2024
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Blaise Delattre
Quentin Barthélemy
Alexandre Allauzen
19
2
0
31 Jan 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
28
4
0
25 Jan 2024
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness
Bernd Prach
Fabio Brau
Giorgio Buttazzo
Christoph H. Lampert
16
6
0
28 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
13
0
0
10 Nov 2023
LipSim: A Provably Robust Perceptual Similarity Metric
LipSim: A Provably Robust Perceptual Similarity Metric
Sara Ghazanfari
Alexandre Araujo
P. Krishnamurthy
Farshad Khorrami
Siddharth Garg
18
5
0
27 Oct 2023
A Recipe for Improved Certifiable Robustness
A Recipe for Improved Certifiable Robustness
Kai Hu
Klas Leino
Zifan Wang
Matt Fredrikson
AAML
10
7
0
04 Oct 2023
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
11
11
0
29 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants
Certified Robust Models with Slack Control and Large Lipschitz Constants
M. Losch
David Stutz
Bernt Schiele
Mario Fritz
4
4
0
12 Sep 2023
Towards Better Certified Segmentation via Diffusion Models
Towards Better Certified Segmentation via Diffusion Models
Othmane Laousy
Alexandre Araujo
G. Chassagnon
M. Revel
S. Garg
Farshad Khorrami
Maria Vakalopoulou
DiffM
18
2
0
16 Jun 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep
  Learning-Based Image Reconstruction using the Local Lipschitz
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
D. Bhutto
Bo Zhu
J. Liu
Neha Koonjoo
H. Li
Bruce Rosen
M. Rosen
UQCV
OOD
8
2
0
12 May 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
15
52
0
06 Mar 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
Grigory Khromov
Sidak Pal Singh
16
7
0
21 Feb 2023
Direct Parameterization of Lipschitz-Bounded Deep Networks
Direct Parameterization of Lipschitz-Bounded Deep Networks
Ruigang Wang
I. Manchester
14
41
0
27 Jan 2023
Patches Are All You Need?
Patches Are All You Need?
Asher Trockman
J. Zico Kolter
ViT
214
395
0
24 Jan 2022
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
Globally-Robust Neural Networks
Globally-Robust Neural Networks
Klas Leino
Zifan Wang
Matt Fredrikson
AAML
OOD
80
125
0
16 Feb 2021
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