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A Random Matrix Theory Approach to Damping in Deep Learning
15 November 2020
Diego Granziol
Nicholas P. Baskerville
AI4CE
ODL
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Papers citing
"A Random Matrix Theory Approach to Damping in Deep Learning"
2 / 2 papers shown
Matricial Free Energy as a Gaussianizing Regularizer: Enhancing Autoencoders for Gaussian Code Generation
Rishi Sonthalia
Raj Rao Nadakuditi
133
0
0
20 Oct 2025
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
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