Taylor approximation for chance constrained optimization problems governed by partial differential equations with high-dimensional random parameters

19 November 2020

Papers citing "Taylor approximation for chance constrained optimization problems governed by partial differential equations with high-dimensional random parameters"

4 / 4 papers shown

Title
Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators Dingcheng Luo Thomas O'Leary-Roseberry Peng Chen Omar Ghattas AI4CE 21 15 0 31 May 2023
Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning Thomas O'Leary-Roseberry Peng Chen Umberto Villa Omar Ghattas AI4CE 32 39 0 21 Jun 2022
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs Thomas O'Leary-Roseberry Umberto Villa Peng Chen Omar Ghattas 38 68 0 30 Nov 2020
Projected Stein Variational Gradient Descent Peng Chen Omar Ghattas BDL 55 68 0 09 Feb 2020