Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference.
Jan SteinbrenerKonstantin PoschJürgen PilzPublished in: Sensors (2020)
Keyphrases
- variational inference
- neural network
- bayesian inference
- probabilistic model
- topic models
- gaussian process
- posterior distribution
- probabilistic graphical models
- variational methods
- latent dirichlet allocation
- mixture model
- closed form
- exact inference
- exponential family
- graphical models
- belief functions
- approximate inference
- factor graphs
- bayesian networks
- fuzzy logic
- multilayer perceptron
- posterior probability
- markov networks
- regression model
- expectation maximization
- fuzzy sets
- natural language processing
- pairwise