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Recurrent Neural Networks and Universal Approximation of Bayesian
  Filters

Recurrent Neural Networks and Universal Approximation of Bayesian Filters

1 November 2022
A. Bishop
Edwin V. Bonilla
    BDL
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Papers citing "Recurrent Neural Networks and Universal Approximation of Bayesian Filters"

3 / 3 papers shown
Title
Convergence of Gradient Descent for Recurrent Neural Networks: A
  Nonasymptotic Analysis
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
Semih Cayci
A. Eryilmaz
26
3
0
19 Feb 2024
Universal Time-Uniform Trajectory Approximation for Random Dynamical
  Systems with Recurrent Neural Networks
Universal Time-Uniform Trajectory Approximation for Random Dynamical Systems with Recurrent Neural Networks
A. Bishop
37
1
0
15 Nov 2022
On the Mathematical Theory of Ensemble (Linear-Gaussian) Kalman-Bucy
  Filtering
On the Mathematical Theory of Ensemble (Linear-Gaussian) Kalman-Bucy Filtering
A. Bishop
P. Del Moral
31
26
0
16 Jun 2020
1