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2001.06188
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On Random Matrices Arising in Deep Neural Networks. Gaussian Case
17 January 2020
L. Pastur
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Papers citing
"On Random Matrices Arising in Deep Neural Networks. Gaussian Case"
15 / 15 papers shown
Towards Quantifying the Hessian Structure of Neural Networks
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Yushun Zhang
Jianfeng Yao
Jianfeng Yao
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05 May 2025
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
Lingyu Gu
Yongqiang Du
Yuan Zhang
Di Xie
Shiliang Pu
Robert C. Qiu
Zhenyu Liao
266
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0
01 Mar 2024
Deep networks for system identification: a Survey
G. Pillonetto
Aleksandr Aravkin
Daniel Gedon
L. Ljung
Antônio H. Ribeiro
Thomas B. Schon
OOD
372
104
0
30 Jan 2023
Universal characteristics of deep neural network loss surfaces from random matrix theory
Nicholas P. Baskerville
J. Keating
F. Mezzadri
J. Najnudel
Diego Granziol
247
7
0
17 May 2022
Concentration of Random Feature Matrices in High-Dimensions
Mathematical and Scientific Machine Learning (MSML), 2022
Zhijun Chen
Hayden Schaeffer
Rachel A. Ward
457
8
0
14 Apr 2022
Overparameterized Linear Regression under Adversarial Attacks
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Antônio H. Ribeiro
Thomas B. Schon
AAML
231
25
0
13 Apr 2022
Eigenvalue Distribution of Large Random Matrices Arising in Deep Neural Networks: Orthogonal Case
Journal of Mathematics and Physics (JMP), 2022
L. Pastur
241
7
0
12 Jan 2022
Free Probability for predicting the performance of feed-forward fully connected neural networks
Neural Information Processing Systems (NeurIPS), 2021
Reda Chhaibi
Tariq Daouda
E. Kahn
ODL
359
4
0
01 Nov 2021
Conditioning of Random Feature Matrices: Double Descent and Generalization Error
Zhijun Chen
Hayden Schaeffer
350
13
0
21 Oct 2021
Random matrices in service of ML footprint: ternary random features with no performance loss
Hafiz Tiomoko Ali
Zhenyu Liao
Romain Couillet
330
7
0
05 Oct 2021
Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case
Communications in Mathematical Physics (Commun. Math. Phys.), 2021
B. Collins
Tomohiro Hayase
371
8
0
24 Mar 2021
On Random Matrices Arising in Deep Neural Networks: General I.I.D. Case
Random Matrices. Theory and Applications (RMTA), 2020
L. Pastur
V. Slavin
CML
266
13
0
20 Nov 2020
Tensor Programs III: Neural Matrix Laws
Greg Yang
425
55
0
22 Sep 2020
The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Tomohiro Hayase
Ryo Karakida
376
9
0
14 Jun 2020
A Random Matrix Analysis of Random Fourier Features: Beyond the Gaussian Kernel, a Precise Phase Transition, and the Corresponding Double Descent
Zhenyu Liao
Romain Couillet
Michael W. Mahoney
262
94
0
09 Jun 2020
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