How Sampling Impacts the Robustness of Stochastic Neural Networks.
Sina DäubenerAsja FischerPublished in: CoRR (2022)
Keyphrases
- neural network
- monte carlo
- pattern recognition
- artificial neural networks
- metropolis hastings
- point processes
- back propagation
- fuzzy logic
- fault diagnosis
- neural nets
- sampling strategy
- hopfield neural network
- stochastic optimization
- learning automata
- stochastic nature
- sampling strategies
- stochastic model
- recurrent neural networks
- radial basis function
- markov chain monte carlo
- multi layer
- stochastic programming
- random sampling
- markov chain
- feed forward