Pages that link to "Item:Q4555985"

The following pages link to Parametric PDEs: sparse or low-rank approximations? (Q4555985):

Displaying 23 items.

• Multilevel tensor approximation of PDEs with random data (Q1685682) (← links)
• Numerical solution of the parametric diffusion equation by deep neural networks (Q2049099) (← links)
• The uniform sparse FFT with application to PDEs with random coefficients (Q2098298) (← links)
• A theoretical analysis of deep neural networks and parametric PDEs (Q2117329) (← links)
• Low-rank tensor reconstruction of concentrated densities with application to Bayesian inversion (Q2128063) (← links)
• Particle number conservation and block structures in matrix product states (Q2149943) (← links)
• Variational Monte Carlo -- bridging concepts of machine learning and high-dimensional partial differential equations (Q2305540) (← links)
• Non-intrusive tensor reconstruction for high-dimensional random PDEs (Q2324350) (← links)
• Computation and learning in high dimensions. Abstracts from the workshop held August 1--7, 2021 (hybrid meeting) (Q2693017) (← links)
• Geometric Methods on Low-Rank Matrix and Tensor Manifolds (Q3300541) (← links)
• Adaptive low-rank approximations for operator equations: Accuracy control and computational complexity (Q4998630) (← links)
• An adaptive stochastic Galerkin method based on multilevel expansions of random fields: Convergence and optimality (Q5044411) (← links)
• Matrix Oriented Reduction of Space-Time Petrov-Galerkin Variational Problems (Q5152908) (← links)
• A Hybrid Alternating Least Squares--TT-Cross Algorithm for Parametric PDEs (Q5228358) (← links)
• A Preconditioned Low-Rank Projection Method with a Rank-Reduction Scheme for Stochastic Partial Differential Equations (Q5372656) (← links)
• Approximative Policy Iteration for Exit Time Feedback Control Problems Driven by Stochastic Differential Equations using Tensor Train Format (Q5865245) (← links)
• Low-rank tensor methods for partial differential equations (Q6047498) (← links)
• Pricing High-Dimensional Bermudan Options with Hierarchical Tensor Formats (Q6159076) (← links)
• A low-rank solver for parameter estimation and uncertainty quantification in time-dependent systems of partial differential equations (Q6200967) (← links)
• A local hybrid surrogate-based finite element tearing interconnecting dual-primal method for nonsmooth random partial differential equations (Q6553282) (← links)
• One-shot learning of surrogates in PDE-constrained optimization under uncertainty (Q6587616) (← links)
• Approximating the stationary Bellman equation by hierarchical tensor products (Q6616995) (← links)
• The reduced basis method in space and time: challenges, limits and perspectives (Q6629172) (← links)