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03/18/2023
UNREAL:Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification
Extremely skewed label distributions are common in real-world node class...
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02/03/2023
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation
This is the second part of our series works on failure-informed adaptive...
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10/01/2022
Failure-informed adaptive sampling for PINNs
Physics-informed neural networks (PINNs) have emerged as an effective te...
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04/13/2021
Optimal design for kernel interpolation: applications to uncertainty quantification
The paper is concerned with classic kernel interpolation methods, in add...
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04/13/2021
An acceleration strategy for randomize-then-optimize sampling via deep neural networks
Randomize-then-optimize (RTO) is widely used for sampling from posterior...
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04/13/2021
Stein variational gradient descent with local approximations
Bayesian computation plays an important role in modern machine learning ...
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11/20/2019
