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Singular Value Perturbation and Deep Network Optimization
v1v2v3v4 (latest)

Singular Value Perturbation and Deep Network Optimization

7 March 2022
R. Riedi
Randall Balestriero
Richard G. Baraniuk
    AAML
ArXiv (abs)PDFHTML

Papers citing "Singular Value Perturbation and Deep Network Optimization"

6 / 6 papers shown
Title
Kolmogorov-Arnold Networks: Approximation and Learning Guarantees for Functions and their Derivatives
Kolmogorov-Arnold Networks: Approximation and Learning Guarantees for Functions and their Derivatives
Anastasis Kratsios
Takashi Furuya
70
1
0
21 Apr 2025
Scalable Message Passing Neural Networks: No Need for Attention in Large
  Graph Representation Learning
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
Haitz Sáez de Ocáriz Borde
Artem Lukoianov
Anastasis Kratsios
Michael M. Bronstein
Xiaowen Dong
GNN
73
2
0
29 Oct 2024
On the Geometry of Deep Learning
On the Geometry of Deep Learning
Randall Balestriero
Ahmed Imtiaz Humayun
Richard G. Baraniuk
AI4CE
128
1
0
09 Aug 2024
Fast and Exact Enumeration of Deep Networks Partitions Regions
Fast and Exact Enumeration of Deep Networks Partitions Regions
Randall Balestriero
Yann LeCun
55
5
0
20 Jan 2024
Training Dynamics of Deep Network Linear Regions
Training Dynamics of Deep Network Linear Regions
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
75
3
0
19 Oct 2023
Batch Normalization Explained
Batch Normalization Explained
Randall Balestriero
Richard G. Baraniuk
AAML
92
17
0
29 Sep 2022
1