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Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks

Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks

10 May 2025
Ibrahim Talha Ersoy
Karoline Wiesner
ArXivPDFHTML

Papers citing "Geometry of Learning -- L2 Phase Transitions in Deep and Shallow Neural Networks"

5 / 5 papers shown
Title
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
Sumio Watanabe
72
1
0
31 May 2024
Feature Learning in $L_{2}$-regularized DNNs: Attraction/Repulsion and
  Sparsity
Feature Learning in L2L_{2}L2​-regularized DNNs: Attraction/Repulsion and Sparsity
Arthur Jacot
Eugene Golikov
Clément Hongler
Franck Gabriel
MLT
58
18
0
31 May 2022
On the geometry of generalization and memorization in deep neural
  networks
On the geometry of generalization and memorization in deep neural networks
Cory Stephenson
Suchismita Padhy
Abhinav Ganesh
Yue Hui
Hanlin Tang
SueYeon Chung
TDI
AI4CE
64
73
0
30 May 2021
Learnability for the Information Bottleneck
Learnability for the Information Bottleneck
Tailin Wu
Ian S. Fischer
Isaac L. Chuang
Max Tegmark
38
42
0
17 Jul 2019
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
203
2,885
0
14 Mar 2017
1