Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs.
Angel DarunaYunye GongAbhinav RajvanshiHan-Pang ChiuYi YaoPublished in: CoRR (2023)
Keyphrases
- factor graphs
- neural network
- multilayer perceptron
- graphical models
- message passing
- belief propagation
- latent variables
- artificial neural networks
- approximate inference
- back propagation
- neural network model
- fuzzy logic
- probabilistic inference
- parameter learning
- exact inference
- rough sets
- distributed systems
- conditional random fields
- markov random field
- least squares
- probabilistic model
- dynamic programming