A Learning-Based Optimal Uncertainty Quantification Method and Its Application to Ballistic Impact Problems

28 December 2022

Papers citing "A Learning-Based Optimal Uncertainty Quantification Method and Its Application to Ballistic Impact Problems"

5 / 5 papers shown

Title
Neural Operator: Learning Maps Between Function Spaces Nikola B. Kovachki Zong-Yi Li Burigede Liu Kamyar Azizzadenesheli K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 114 449 0 19 Aug 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 497 2,401 0 18 Oct 2020
Self-Normalizing Neural Networks Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter 455 2,511 0 08 Jun 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Optimal Uncertainty Quantification H. Owhadi C. Scovel T. Sullivan Michael McKerns M. Ortiz 108 124 0 02 Sep 2010