Stochastic Data-driven Hardware Resilience to Efficiently Train Inference Models for Stochastic Hardware Implementations.
Bonan ZhangLung-Yen ChenNaveen VermaPublished in: ICASSP (2019)
Keyphrases
- data driven
- stochastic models
- markov chain monte carlo methods
- boltzmann machines
- linear gaussian
- stochastic model
- point processes
- finite state transducers
- statistical model
- stochastic processes
- stochastic inventory control
- stochastic optimization
- monte carlo
- low cost
- probabilistic model
- tree grammars
- sum product
- stochastic process
- control policies
- stochastic programming
- real time
- structured prediction
- parameter estimation
- graphical models
- prior knowledge
- neural network