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Random matrix analysis of deep neural network weight matrices

Random matrix analysis of deep neural network weight matrices

28 March 2022
M. Thamm
Max Staats
B. Rosenow
ArXivPDFHTML

Papers citing "Random matrix analysis of deep neural network weight matrices"

5 / 5 papers shown
Title
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
Zhekai Du
Yinjie Min
Jingjing Li
Ke Lu
Changliang Zou
Liuhua Peng
Tingjin Chu
M. Gong
113
1
0
05 Feb 2025
Universal characteristics of deep neural network loss surfaces from
  random matrix theory
Universal characteristics of deep neural network loss surfaces from random matrix theory
Nicholas P. Baskerville
J. Keating
F. Mezzadri
J. Najnudel
Diego Granziol
9
4
0
17 May 2022
Physics-informed generative neural network: an application to
  troposphere temperature prediction
Physics-informed generative neural network: an application to troposphere temperature prediction
Zhihao Chen
Jie Gao
Weikai Wang
Zheng Yan
AI4CE
24
17
0
08 Jul 2021
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
75
385
0
16 Apr 2018
Cleaning large correlation matrices: tools from random matrix theory
Cleaning large correlation matrices: tools from random matrix theory
J. Bun
J. Bouchaud
M. Potters
22
263
0
25 Oct 2016
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