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Depth induces scale-averaging in overparameterized linear Bayesian
  neural networks

Depth induces scale-averaging in overparameterized linear Bayesian neural networks

23 November 2021
Jacob A. Zavatone-Veth
Cengiz Pehlevan
    BDL
    UQCV
    MDE
ArXivPDFHTML

Papers citing "Depth induces scale-averaging in overparameterized linear Bayesian 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
68
1
0
27 May 2024
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean
  Field Neural Networks
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks
Blake Bordelon
Cengiz Pehlevan
MLT
38
29
0
06 Apr 2023
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide
  Neural Networks
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon
Cengiz Pehlevan
MLT
40
78
0
19 May 2022
Contrasting random and learned features in deep Bayesian linear
  regression
Contrasting random and learned features in deep Bayesian linear regression
Jacob A. Zavatone-Veth
William L. Tong
Cengiz Pehlevan
BDL
MLT
28
26
0
01 Mar 2022
Why bigger is not always better: on finite and infinite neural networks
Why bigger is not always better: on finite and infinite neural networks
Laurence Aitchison
175
51
0
17 Oct 2019
1