Pages that link to "Item:Q2138759"
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The following pages link to Variational Bayesian approximation of inverse problems using sparse precision matrices (Q2138759):
Displaying 14 items.
- Variational Bayesian strategies for high-dimensional, stochastic design problems (Q729450) (← links)
- bip-pde-vi (Q1352928) (← links)
- Approximate Bayesian model inversion for PDEs with heterogeneous and state-dependent coefficients (Q2222341) (← links)
- Sparsity in Bayesian inversion of parametric operator equations (Q5168053) (← links)
- Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity (Q5372865) (← links)
- Inverse scattering with sparse Bayesian vector regression (Q5709772) (← links)
- Variational Bayes' Method for Functions with Applications to Some Inverse Problems (Q5857841) (← links)
- VI-DGP: a variational inference method with deep generative prior for solving high-dimensional inverse problems (Q6053024) (← links)
- Fully probabilistic deep models for forward and inverse problems in parametric PDEs (Q6095115) (← links)
- Reduced-order model-based variational inference with normalizing flows for Bayesian elliptic inverse problems (Q6145183) (← links)
- Stochastic PDE representation of random fields for large-scale Gaussian process regression and statistical finite element analysis (Q6187654) (← links)
- Variational Bayesian surrogate modelling with application to robust design optimisation (Q6643588) (← links)
- Uncertainty propagation of initial conditions in thermal models (Q6655263) (← links)
- Weak neural variational inference for solving Bayesian inverse problems \textit{without} forward models: applications in elastography (Q6663307) (← links)
