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Sparse Bayesian Deep Learning for Dynamic System Identification

Sparse Bayesian Deep Learning for Dynamic System Identification

27 July 2021
Hongpeng Zhou
Chahine Ibrahim
W. Zheng
Wei Pan
    BDL
ArXivPDFHTML

Papers citing "Sparse Bayesian Deep Learning for Dynamic System Identification"

6 / 6 papers shown
Title
Exploiting the capacity of deep networks only at training stage for
  nonlinear black-box system identification
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification
V. M. Eivaghi
M. A. Shoorehdeli
23
0
0
26 Dec 2023
Neural State-Space Models: Empirical Evaluation of Uncertainty
  Quantification
Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification
Marco Forgione
Dario Piga
UQCV
17
2
0
13 Apr 2023
Dealing with Collinearity in Large-Scale Linear System Identification
  Using Gaussian Regression
Dealing with Collinearity in Large-Scale Linear System Identification Using Gaussian Regression
Wenqi Cao
G. Pillonetto
24
0
0
21 Feb 2023
Sparse neural networks with skip-connections for identification of
  aluminum electrolysis cell
Sparse neural networks with skip-connections for identification of aluminum electrolysis cell
E. Lundby
Haakon Robinson
Adil Rasheed
I. Halvorsen
J. Gravdahl
27
2
0
02 Jan 2023
Sparse deep neural networks for modeling aluminum electrolysis dynamics
Sparse deep neural networks for modeling aluminum electrolysis dynamics
E. Lundby
Adil Rasheed
I. Halvorsen
J. Gravdahl
21
14
0
13 Sep 2022
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer
  Neural Network
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
Mo Zhou
Rong Ge
Chi Jin
69
44
0
04 Feb 2021
1