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Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations.
Winnie Xu
Ricky T. Q. Chen
Xuechen Li
David Duvenaud
Published in:
CoRR (2021)
Keyphrases
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neural network
stochastic differential equations
maximum a posteriori estimation
brownian motion
bayesian networks
fractional brownian motion
posterior distribution
network architecture
reinforcement learning
maximum likelihood
differential equations
additive gaussian noise