Pages that link to "Item:Q2324350"
From MaRDI portal
The following pages link to Non-intrusive tensor reconstruction for high-dimensional random PDEs (Q2324350):
Displaying 13 items.
- Low-rank separated representation surrogates of high-dimensional stochastic functions: application in Bayesian inference (Q348754) (← links)
- Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs (Q778295) (← links)
- Uncertainty quantification for complex systems with very high dimensional response using Grassmann manifold variations (Q1656755) (← links)
- Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion (Q2128063) (← links)
- Variational Monte Carlo -- bridging concepts of machine learning and high-dimensional partial differential equations (Q2305540) (← links)
- Editorial. Tensor numerical methods: actual theory and recent applications (Q2324346) (← links)
- Neural network-based variational methods for solving quadratic porous medium equations in high dimensions (Q2699489) (← links)
- QUANTIFICATION OF UNCERTAINTY FROM HIGH-DIMENSIONAL SCATTERED DATA VIA POLYNOMIAL APPROXIMATION (Q2932949) (← links)
- Sparse tensor discretizations of high-dimensional parametric and stochastic PDEs (Q3100349) (← links)
- An Adaptive Stochastic Galerkin Tensor Train Discretization for Randomly Perturbed Domains (Q5119643) (← links)
- Two-Level a Posteriori Error Estimation for Adaptive Multilevel Stochastic Galerkin Finite Element Method (Q5158920) (← links)
- Adaptive Nonintrusive Reconstruction of Solutions to High-Dimensional Parametric PDEs (Q6039259) (← links)
- Sample complexity bounds for the local convergence of least squares approximation (Q6649924) (← links)
