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Manifold Interpolating Optimal-Transport Flows for Trajectory Inference.
Guillaume Huguet
Daniel Sumner Magruder
Oluwadamilola Fasina
Alexander Tong
Manik Kuchroo
Guy Wolf
Smita Krishnaswamy
Published in:
CoRR (2022)
Keyphrases
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optimal control
dynamic programming
bayesian networks
optimal design
neural network
high dimensional
closed form
probabilistic inference
bayesian inference
learning algorithm
spatio temporal
worst case
lower dimensional
trajectory data