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Principled Pruning of Bayesian Neural Networks through Variational Free
  Energy Minimization

Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization

17 October 2022
Jim Beckers
Bart Van Erp
Ziyue Zhao
K. Kondrashov
Bert De Vries
    AAML
ArXivPDFHTML

Papers citing "Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization"

5 / 5 papers shown
Title
Improved Depth Estimation of Bayesian Neural Networks
Improved Depth Estimation of Bayesian Neural Networks
Bart Van Erp
Bert De Vries
MDE
BDL
16
0
0
14 Oct 2024
BMRS: Bayesian Model Reduction for Structured Pruning
BMRS: Bayesian Model Reduction for Structured Pruning
Dustin Wright
Christian Igel
Raghavendra Selvan
BDL
MQ
20
0
0
03 Jun 2024
Bayesian sparsification for deep neural networks with Bayesian model
  reduction
Bayesian sparsification for deep neural networks with Bayesian model reduction
Dimitrije Marković
K. Friston
S. Kiebel
BDL
UQCV
25
1
0
21 Sep 2023
Toward Design of Synthetic Active Inference Agents by Mere Mortals
Toward Design of Synthetic Active Inference Agents by Mere Mortals
Bert De Vries
6
3
0
26 Jul 2023
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
132
3,263
0
09 Jun 2012
1