Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network.
Wenzhao ZhaoBarbara D. WichtmannSteffen AlbertAngelika MaurerFrank G. ZöllnerUlrike AttenbergerJürgen HesserPublished in: CoRR (2023)
Keyphrases
- monte carlo
- adaptive sampling
- convolutional neural network
- monte carlo simulation
- importance sampling
- monte carlo methods
- markov chain
- simulation study
- monte carlo tree search
- monte carlo method
- particle filter
- matrix inversion
- global illumination
- stochastic approximation
- confidence intervals
- optimal strategy
- face detection
- temporal difference
- markovian decision
- game tree search
- neural network
- object recognition
- learning algorithm