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Computing the Information Content of Trained Neural Networks

Computing the Information Content of Trained Neural Networks

1 March 2021
Jeremy Bernstein
Yisong Yue
ArXivPDFHTML

Papers citing "Computing the Information Content of Trained Neural Networks"

3 / 3 papers shown
Title
Multiclass classification utilising an estimated algorithmic probability
  prior
Multiclass classification utilising an estimated algorithmic probability prior
K. Dingle
Pau Batlle
H. Owhadi
14
4
0
14 Dec 2022
Wide Bayesian neural networks have a simple weight posterior: theory and
  accelerated sampling
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
Jiri Hron
Roman Novak
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
UQCV
BDL
42
6
0
15 Jun 2022
Learning by Turning: Neural Architecture Aware Optimisation
Learning by Turning: Neural Architecture Aware Optimisation
Yang Liu
Jeremy Bernstein
M. Meister
Yisong Yue
ODL
41
26
0
14 Feb 2021
1