When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA.
Hongxiang FanMark ChenLiam CastelliZhiqiang QueHe LiKenneth LongWayne LukPublished in: DAC (2023)
Keyphrases
- monte carlo
- neural network
- monte carlo methods
- markov chain
- importance sampling
- monte carlo simulation
- markov chain monte carlo
- stochastic approximation
- simulation study
- monte carlo tree search
- monte carlo method
- particle filter
- bayesian networks
- genetic algorithm
- adaptive sampling
- field programmable gate array
- global illumination
- matrix inversion
- hardware implementation
- posterior probability
- conditional density estimation
- game tree search
- variance reduction
- temporal difference
- kalman filter
- maximum likelihood