Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing.
Sebastian Wagner-CarenaJi Won ParkSimon BirrerPhilip J. MarshallAaron RoodmanRisa H. WechslerPublished in: CoRR (2020)
Keyphrases
- neural network
- bayesian inference
- bayesian networks
- bayesian models
- pattern recognition
- posterior probability
- variational inference
- inference process
- statistical inference
- bayesian model selection
- artificial neural networks
- nonparametric bayesian
- fuzzy systems
- neural network model
- fuzzy logic
- coarse to fine
- recurrent neural networks
- bayesian model
- dynamic bayesian networks
- multi layer
- loopy belief propagation
- bayesian analysis
- max margin learning
- activation function
- probabilistic inference
- neural nets
- fault diagnosis
- back propagation
- maximum likelihood
- data driven
- inference engine
- training process
- hierarchical model
- exact inference
- bayesian estimation
- model selection
- bayesian decision
- high level
- decision trees