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PAGP: A physics-assisted Gaussian process framework with active learning for forward and inverse problems of partial differential equations.
Jiahao Zhang
Shiqi Zhang
Guang Lin
Published in:
CoRR (2022)
Keyphrases
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partial differential equations
inverse problems
gaussian process
active learning
bayesian framework
image reconstruction
level set
global optimization
semi supervised
image enhancement
image processing
latent variables
image denoising
optimization problems
optimization methods
denoising
pattern recognition