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Bayesian Learning via Neural Schrödinger-Föllmer Flows.
Francisco Vargas
Andrius Ovsianas
David Fernandes
Mark Girolami
Neil D. Lawrence
Nikolas Nüsken
Published in:
CoRR (2021)
Keyphrases
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bayesian learning
hamilton jacobi
distance transform
heat equation
wave equation
model selection
eikonal equation
finite difference
posterior distribution
medial axis
partial differential equations
level set method
scale space
data mining
hyperparameters
parameter estimation
level set