MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence.
Priyesh ShuklaShamma NasrinNastaran DarabiWilfred GomesAmit Ranjan TrivediPublished in: CoRR (2021)
Keyphrases
- monte carlo
- monte carlo methods
- markov chain
- monte carlo simulation
- importance sampling
- point processes
- monte carlo tree search
- adaptive sampling
- global illumination
- simulation study
- markov chain monte carlo
- stochastic approximation
- edge information
- bayesian networks
- bayesian inference
- temporal difference
- optimal strategy
- variance reduction
- monte carlo method
- matrix inversion
- particle filter
- maximum likelihood
- bayesian learning
- posterior distribution
- random sampling
- learning algorithm
- quasi monte carlo