PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty

10 February 2022

Papers citing "PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty"

2 / 2 papers shown

Title
The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory S. Oladyshkin T. Praditia Ilja Kroker F. Mohammadi Wolfgang Nowak S. Otte AI4CE 16 4 0 26 Jun 2023
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification Nuojin Cheng Osman Asif Malik Subhayan De Stephen Becker Alireza Doostan 8 9 0 25 May 2023