most citedIB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

math.NA2023★ 2 cited

IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning

Ling Guo, Hao Wu, Wenwen Zhou +2

We propose a novel framework for uncertainty quantification via information bottleneck (IB-UQ) for scientific machine learning tasks, including deep neural network (DNN) regression…