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Criticality versus uniformity in deep neural networks

Criticality versus uniformity in deep neural networks

10 April 2023
A. Bukva
Jurriaan de Gier
Kevin T. Grosvenor
R. Jefferson
K. Schalm
Eliot Schwander
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Papers citing "Criticality versus uniformity in deep neural networks"

5 / 5 papers shown
Title
Bayesian RG Flow in Neural Network Field Theories
Bayesian RG Flow in Neural Network Field Theories
Jessica N. Howard
Marc S. Klinger
Anindita Maiti
A. G. Stapleton
65
1
0
27 May 2024
Towards quantifying information flows: relative entropy in deep neural
  networks and the renormalization group
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group
J. Erdmenger
Kevin T. Grosvenor
R. Jefferson
48
17
0
14 Jul 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,774
0
24 Feb 2021
Measuring the Algorithmic Efficiency of Neural Networks
Measuring the Algorithmic Efficiency of Neural Networks
Danny Hernandez
Tom B. Brown
233
94
0
08 May 2020
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train
  10,000-Layer Vanilla Convolutional Neural Networks
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao
Yasaman Bahri
Jascha Narain Sohl-Dickstein
S. Schoenholz
Jeffrey Pennington
220
348
0
14 Jun 2018
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