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cs.LG2024
Uncertainty quantification for deeponets with ensemble kalman inversion
Andrew Pensoneault, Xueyu Zhu
In recent years, operator learning, particularly the DeepONet, has received much attention for efficiently learning complex mappings between input and output functions across diver…
cs.LG2020★ 1 cited
Nonnegativity-Enforced Gaussian Process Regression
Andrew Pensoneault, Xiu Yang, Xueyu Zhu
Gaussian Process (GP) regression is a flexible non-parametric approach to approximate complex models. In many cases, these models correspond to processes with bounded physical prop…