Pages that link to "Item:Q2874993"
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The following pages link to A stochastic collocation algorithm with multifidelity models (Q2874993):
Displaying 49 items.
- An offline/online algorithm for a class of stochastic multiple obstacle scattering configurations in the half-plane (Q298196) (← links)
- Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction (Q725460) (← links)
- Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs (Q778295) (← links)
- A low-rank control variate for multilevel Monte Carlo simulation of high-dimensional uncertain systems (Q1686578) (← links)
- Multi-fidelity stochastic collocation method for computation of statistical moments (Q1686595) (← links)
- Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling (Q1996002) (← links)
- A multi-fidelity polynomial chaos-greedy Kaczmarz approach for resource-efficient uncertainty quantification on limited budget (Q2072434) (← links)
- Variational inference for nonlinear inverse problems via neural net kernels: comparison to Bayesian neural networks, application to topology optimization (Q2083125) (← links)
- Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties (Q2087001) (← links)
- Bi-fidelity reduced polynomial chaos expansion for uncertainty quantification (Q2115584) (← links)
- Pass-efficient methods for compression of high-dimensional turbulent flow data (Q2123807) (← links)
- Deep coregionalization for the emulation of simulation-based spatial-temporal fields (Q2128339) (← links)
- Multifidelity modeling for physics-informed neural networks (PINNs) (Q2134766) (← links)
- A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems (Q2180467) (← links)
- A bi-fidelity surrogate modeling approach for uncertainty propagation in three-dimensional hemodynamic simulations (Q2184449) (← links)
- Goal-oriented adaptive modeling of random heterogeneous media and model-based multilevel Monte Carlo methods (Q2203518) (← links)
- Bi-fidelity stochastic gradient descent for structural optimization under uncertainty (Q2221705) (← links)
- Uncertainty quantification of discontinuous outputs via a non-intrusive bifidelity strategy (Q2222574) (← links)
- A bi-fidelity method for the multiscale Boltzmann equation with random parameters (Q2222790) (← links)
- Bi-fidelity approximation for uncertainty quantification and sensitivity analysis of irradiated particle-laden turbulence (Q2222797) (← links)
- A bi-fidelity ensemble Kalman method for PDE-constrained inverse problems in computational mechanics (Q2241887) (← links)
- Residual Gaussian process: a tractable nonparametric Bayesian emulator for multi-fidelity simulations (Q2247250) (← links)
- Fast predictive multi-fidelity prediction with models of quantized fidelity levels (Q2311502) (← links)
- Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems (Q2319398) (← links)
- Simplex-stochastic collocation method with improved scalability (Q2375010) (← links)
- MFNets: data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources (Q2667288) (← links)
- A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs (Q2671327) (← links)
- A multifidelity Monte Carlo method for realistic computational budgets (Q2680319) (← links)
- Coarse-proxy reduced basis methods for integral equations (Q2683050) (← links)
- Context-aware learning of hierarchies of low-fidelity models for multi-fidelity uncertainty quantification (Q2686907) (← links)
- A Multilevel Stochastic Collocation Algorithm for Optimization of PDEs with Uncertain Coefficients (Q2938434) (← links)
- Nonhierarchical multi‐model fusion using spatial random processes (Q2952898) (← links)
- Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices (Q3176241) (← links)
- Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (Q4580293) (← links)
- Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems (Q4610150) (← links)
- A Bandit-Learning Approach to Multifidelity Approximation (Q5022495) (← links)
- Resource-Constrained Model Selection for Uncertainty Propagation and Data Assimilation (Q5119641) (← links)
- When Bifidelity Meets CoKriging: An Efficient Physics-Informed MultiFidelity Method (Q5214833) (← links)
- Allocation Strategies for High Fidelity Models in the Multifidelity Regime (Q5228354) (← links)
- Convergence Acceleration for Time-Dependent Parametric Multifidelity Models (Q5232289) (← links)
- Multifidelity Monte Carlo Estimation with Adaptive Low-Fidelity Models (Q5237167) (← links)
- A High Performance Computing and Sensitivity Analysis Algorithm for Stochastic Many-Particle Wave Scattering (Q5258614) (← links)
- Comparison of Surrogate-Based Uncertainty Quantification Methods for Computationally Expensive Simulators (Q5269870) (← links)
- Interpolation of Functions with Parameter Dependent Jumps by Transformed Snapshots (Q5348254) (← links)
- An iterative multi‐fidelity approach for model order reduction of multidimensional input parametric PDE systems (Q6082635) (← 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)
- Parametric topology optimization with multiresolution finite element models (Q6554157) (← links)
- Error estimates of a bi-fidelity method for a multi-phase Navier-Stokes-Vlasov-Fokker-Planck system with random inputs (Q6586968) (← links)
