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Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
3 February 2023
Simone Bombari
Shayan Kiyani
Marco Mondelli
AAML
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Papers citing
"Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels"
12 / 12 papers shown
Title
Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization
Simone Bombari
Marco Mondelli
106
0
0
03 Feb 2025
Infinite Width Limits of Self Supervised Neural Networks
Maximilian Fleissner
Gautham Govind Anil
D. Ghoshdastidar
SSL
112
0
0
17 Nov 2024
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
Simone Bombari
Marco Mondelli
26
3
0
05 Feb 2024
No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
Tanishq Kumar
Kevin Luo
Mark Sellke
14
3
0
02 Feb 2024
1-Lipschitz Neural Networks are more expressive with N-Activations
Bernd Prach
Christoph H. Lampert
AAML
FAtt
6
0
0
10 Nov 2023
Upper and lower bounds for the Lipschitz constant of random neural networks
Paul Geuchen
Thomas Heindl
Dominik Stöger
Felix Voigtlaender
AAML
14
0
0
02 Nov 2023
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
Behrad Moniri
Donghwan Lee
Hamed Hassani
Edgar Dobriban
MLT
16
19
0
11 Oct 2023
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
Shaopeng Fu
Di Wang
AAML
20
1
0
09 Oct 2023
How Spurious Features Are Memorized: Precise Analysis for Random and NTK Features
Simone Bombari
Marco Mondelli
AAML
14
4
0
20 May 2023
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
24
19
0
15 Sep 2022
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAML
TPM
44
100
0
07 Oct 2021
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
3,102
0
04 Nov 2016
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