Pages that link to "Item:Q4580293"

The following pages link to Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (Q4580293):

Displaying 40 items.

• Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model (Q6101048) (← links)
• Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems (Q6109165) (← links)
• An Adaptive Non-Intrusive Multi-Fidelity Reduced Basis Method for Parameterized Partial Differential Equations (Q6110109) (← links)
• An overlapping domain decomposition method for the solution of parametric elliptic problems via proper generalized decomposition (Q6118540) (← links)
• Operator inference with roll outs for learning reduced models from scarce and low-quality data (Q6135185) (← links)
• Forward sensitivity analysis and mode dependent control for closure modeling of Galerkin systems (Q6135189) (← links)
• Residual-based error correction for neural operator accelerated Infinite-dimensional Bayesian inverse problems (Q6147083) (← links)
• Online MCMC Thinning with Kernelized Stein Discrepancy (Q6151668) (← links)
• Neural-physics multi-fidelity model with active learning and uncertainty quantification for GPU-enabled microfluidic concentration gradient generator design (Q6153894) (← links)
• A randomized multi-index sequential Monte Carlo method (Q6172156) (← links)
• Constrained Optimization in the Presence of Noise (Q6176426) (← links)
• Efficient multifidelity likelihood-free Bayesian inference with adaptive computational resource allocation (Q6202141) (← links)
• A latent variable approach for non-hierarchical multi-fidelity adaptive sampling (Q6202955) (← links)
• Efficient model-correction-based reliability analysis of uncertain dynamical systems (Q6544615) (← links)
• Multi-Fidelity Uncertainty Propagation Approach for Multi-Dimensional Correlated Flow Field Responses (Q6549081) (← links)
• Active learning-assisted multi-fidelity surrogate modeling based on geometric transformation (Q6550154) (← links)
• A new bi-fidelity model reduction method for Bayesian inverse problems (Q6553850) (← links)
• Multi-fidelity parametric sensitivity estimation for large eddy simulation with the Spalart–Allmaras model (Q6555053) (← links)
• Data driven adaptive Gaussian mixture model for solving Fokker-Planck equation (Q6560605) (← links)
• Multi-fidelity analysis and uncertainty quantification of beam vibration using correction response surfaces (Q6572348) (← links)
• Co-kriging based multi-fidelity uncertainty quantification of beam vibration using coarse and fine finite element meshes (Q6573119) (← links)
• Multi-fidelity response surfaces for uncertainty quantification in beams using coarse and fine finite element discretizations (Q6574345) (← links)
• Discussion of: ``Signature-based models of preventive maintenance'' (Q6581452) (← links)
• Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE (Q6583632) (← links)
• Operator learning using random features: a tool for scientific computing (Q6585281) (← links)
• A combination technique for optimal control problems constrained by random PDEs (Q6587622) (← links)
• Data-informed uncertainty quantification for laser-based powder bed fusion additive manufacturing (Q6589357) (← links)
• Modern Monte Carlo methods for efficient uncertainty quantification and propagation: a survey (Q6602125) (← links)
• A study of multiscale kinetic models with uncertainties (Q6613480) (← links)
• Asymptotic properties of Monte Carlo methods in elliptic PDE-constrained optimization under uncertainty (Q6631364) (← links)
• A multifidelity machine learning based semi-Lagrangian finite volume scheme for linear transport equations and the nonlinear Vlasov-Poisson system (Q6644357) (← links)
• A fully parallelized and budgeted multilevel Monte Carlo method and the application to acoustic waves (Q6645123) (← links)
• Certified multifidelity zeroth-order optimization (Q6645132) (← links)
• Gradient-enhanced deep Gaussian processes for multifidelity modeling (Q6648379) (← links)
• Exploiting locality in sparse polynomial approximation of parametric elliptic PDEs and application to parameterized domains (Q6652068) (← links)
• Influence of sampling on the convergence rates of greedy algorithms for parameter-dependent random variables (Q6657194) (← links)
• Application of deep learning reduced-order modeling for single-phase flow in faulted porous media (Q6662482) (← links)
• System stabilization with policy optimization on unstable latent manifolds (Q6663289) (← links)
• Weak neural variational inference for solving Bayesian inverse problems \textit{without} forward models: applications in elastography (Q6663307) (← links)
• A review of recent advances in surrogate models for uncertainty quantification of high-dimensional engineering applications (Q6663327) (← links)