1 citations · 1 across the 2 of their papers we have counts for
2 papers
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…
stat.ML2023★ 1 cited
Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion
Andrew Pensoneault, Xueyu Zhu
Bayesian Physics Informed Neural Networks (B-PINNs) have gained significant attention for inferring physical parameters and learning the forward solutions for problems based on par…