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Direct Parameterization of Lipschitz-Bounded Deep Networks

Direct Parameterization of Lipschitz-Bounded Deep Networks

27 January 2023
Ruigang Wang
I. Manchester
ArXivPDFHTML

Papers citing "Direct Parameterization of Lipschitz-Bounded Deep Networks"

13 / 13 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
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Wei Chen
Guo Ye
Yakun Wang
Zhao Zhang
Libang Zhang
Daxin Wang
Qing Cui
Fuzhen Zhuang
91
2
0
17 Jan 2025
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations
Sanghyun Hong
Fan Wu
A. Gruber
Kookjin Lee
42
0
0
12 Jan 2025
Compositional Curvature Bounds for Deep Neural Networks
Compositional Curvature Bounds for Deep Neural Networks
Taha Entesari
Sina Sharifi
Mahyar Fazlyab
AAML
36
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
40
4
0
19 May 2024
From Robustness to Improved Generalization and Calibration in
  Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
37
0
0
31 Mar 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks
Ruigang Wang
Krishnamurthy Dvijotham
I. Manchester
36
5
0
02 Feb 2024
LipSim: A Provably Robust Perceptual Similarity Metric
LipSim: A Provably Robust Perceptual Similarity Metric
Sara Ghazanfari
Alexandre Araujo
Prashanth Krishnamurthy
Farshad Khorrami
Siddharth Garg
43
5
0
27 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
16
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
14
4
0
12 Sep 2023
Statistically Optimal Generative Modeling with Maximum Deviation from
  the Empirical Distribution
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution
Elen Vardanyan
Sona Hunanyan
T. Galstyan
A. Minasyan
A. Dalalyan
37
2
0
31 Jul 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
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
38
54
0
05 Aug 2021
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