Neural SDE-Based Epistemic Uncertainty Quantification in Deep Neural Networks.
Aabila TharzeenShweta DahaleBalasubramaniam NatarajanPublished in: EANN (2024)
Keyphrases
- neural network
- network architecture
- neural model
- neural learning
- artificial neural networks
- neural fuzzy
- fuzzy logic
- multi layer
- pattern recognition
- neural architecture
- neural computation
- feed forward
- uncertain data
- associative memory
- learning rules
- fault diagnosis
- hebbian learning
- conditional probabilities
- connectionist models
- fuzzy systems
- multilayer perceptron
- incomplete information
- back propagation
- decision trees
- genetic algorithm
- deep learning
- belief change
- decision theory
- activation function
- belief functions
- neural network model
- self organizing maps
- possibility theory
- robust optimization
- quantitative evaluation
- recurrent networks
- radial basis function
- reinforcement learning
- inherent uncertainty
- distributed representations
- decision making
- neural architectures