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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:
Stat. Comput. (2023)
Keyphrases
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bayesian learning
hamilton jacobi
distance transform
heat equation
wave equation
eikonal equation
model selection
finite difference
partial differential equations
posterior distribution
medial axis
scale space
optical flow
noisy images
heat kernel