How Sampling Impacts the Robustness of Stochastic Neural Networks.
Sina DäubenerAsja FischerPublished in: NeurIPS (2022)
Keyphrases
- neural network
- monte carlo
- metropolis hastings
- neural network model
- pattern recognition
- artificial neural networks
- point processes
- sampling strategy
- back propagation
- computational efficiency
- fuzzy logic
- jump diffusion process
- rule extraction
- sampling algorithm
- random sampling
- neural nets
- fault diagnosis
- sample size
- genetic algorithm
- recurrent neural networks
- training process
- network architecture
- stochastic model
- sampling methods
- learning automata
- sufficient conditions
- high robustness
- sampling strategies
- state space
- real time