ResearchTrend.AI
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
v1v2v3 (latest)

Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration

Blaise Delattre
Quentin Barthélemy
Alexandre Araujo
A. Allauzen
ArXiv (abs)PDFHTMLGithub (14★)

Papers citing "Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration"

4 / 4 papers shown
Title
A Formally Verified Robustness Certifier for Neural Networks (Extended Version)
A Formally Verified Robustness Certifier for Neural Networks (Extended Version)
James Tobler
Hira Taqdees Syeda
Toby Murray
AAML
58
0
0
11 May 2025
Bridging the Theoretical Gap in Randomized Smoothing
Bridging the Theoretical Gap in Randomized Smoothing
Blaise Delattre
Paul Caillon
Quentin Barthélemy
Erwan Fagnou
Alexandre Allauzen
AAML
157
0
0
03 Apr 2025
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration
HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration
Shuchang Zhang
Hui Zhang
Hongxia Wang
133
0
0
18 Jul 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
62
2
0
31 Jan 2024

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.