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2206.03927
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Boundary between noise and information applied to filtering neural network weight matrices
8 June 2022
Max Staats
M. Thamm
B. Rosenow
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ArXiv
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Papers citing
"Boundary between noise and information applied to filtering neural network weight matrices"
5 / 5 papers shown
Title
Deep Learning Weight Pruning with RMT-SVD: Increasing Accuracy and Reducing Overfitting
Yitzchak Shmalo
Jonathan Jenkins
Oleksii Krupchytskyi
22
3
0
15 Mar 2023
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
Fabrizio Pittorino
Antonio Ferraro
Gabriele Perugini
Christoph Feinauer
Carlo Baldassi
R. Zecchina
201
24
0
07 Feb 2022
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
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
75
386
0
16 Apr 2018
Cleaning large correlation matrices: tools from random matrix theory
J. Bun
J. Bouchaud
M. Potters
32
262
0
25 Oct 2016
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