Uncertainty Calibration in Bayesian Neural Networks via Distance-Aware Priors.
Gianluca DetommasoAlberto GasparinAndrew WilsonCédric ArchambeauPublished in: CoRR (2022)
Keyphrases
- neural network
- decision theory
- dempster shafer
- prior probabilities
- bayesian models
- bayesian networks
- pattern recognition
- prior distribution
- fuzzy logic
- distance function
- bayesian approaches
- camera calibration
- bayesian framework
- gaussian processes
- neural nets
- prior information
- belief nets
- uncertain data
- fault diagnosis
- bayesian inference
- belief functions
- fuzzy systems
- maximum likelihood
- distance measure
- back propagation
- genetic algorithm
- artificial neural networks
- prior knowledge
- posterior distribution
- feed forward
- conditional probabilities
- dirichlet prior
- robust optimization
- focal length
- multi layer
- posterior probability
- distance metric
- euclidean distance