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A deep learning functional estimator of optimal dynamics for sampling large deviations.
Tom H. E. Oakes
Adam Moss
Juan P. Garrahan
Published in:
Mach. Learn. Sci. Technol. (2020)
Keyphrases
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deep learning
large deviations
importance sampling
asymptotically optimal
random sampling
state dependent
monte carlo
unsupervised learning
machine learning
weakly supervised
queueing systems
decision trees
mean shift
sample size
mental models
graph cuts
maximum likelihood
dynamic programming