Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE.
Johann RudiJulie BessacAmanda LenziPublished in: MSML (2021)
Keyphrases
- parameter estimation
- maximum likelihood
- least squares
- convolutional neural networks
- markov random field
- model selection
- statistical models
- expectation maximization
- em algorithm
- parameter values
- maximum likelihood estimation
- model fitting
- parameters estimation
- estimation problems
- approximate inference
- posterior distribution
- closed form
- image sequences
- bayesian model selection
- position estimation
- structure learning
- random fields