Pages that link to "Item:Q344473"
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The following pages link to A Bayesian level set method for geometric inverse problems (Q344473):
Displaying 35 items.
- The Bayesian formulation of EIT: analysis and algorithms (Q338599) (← links)
- Stabilities of shape identification inverse problems in a Bayesian framework (Q777122) (← links)
- A Bayesian approach to multiscale inverse problems with on-the-fly scale determination (Q1674657) (← links)
- Hierarchical Bayesian level set inversion (Q1703838) (← links)
- A Bayesian level set method for an inverse medium scattering problem in acoustics (Q1983455) (← links)
- A Bayesian level set method for the shape reconstruction of inverse scattering problems in elasticity (Q2047554) (← links)
- Recovery of advection coefficient and fractional order in a time-fractional reaction-advection-diffusion-wave equation (Q2141572) (← links)
- The interior inverse scattering problem for a two-layered cavity using the Bayesian method (Q2158243) (← links)
- Consistency results on nonparametric Bayesian estimation of level sets using spatial priors (Q2384661) (← links)
- Uncertainty Quantification in Graph-Based Classification of High Dimensional Data (Q3176234) (← links)
- BCAD: A Bayesian CAD System for Geometric Problems Specification and Resolution (Q3564279) (← links)
- How Deep Are Deep Gaussian Processes? (Q4558207) (← links)
- Parameterizations for ensemble Kalman inversion (Q4569357) (← links)
- A Bayesian Numerical Homogenization Method for Elliptic Multiscale Inverse Problems (Q4960996) (← links)
- On the Well-posedness of Bayesian Inverse Problems (Q4960997) (← links)
- Bayesian Spatial Inversion and Conjugate Selection Gaussian Prior Models (Q4995110) (← links)
- On a Hybrid Approach for Recovering Multiple Obstacles (Q5065195) (← links)
- Reconciling Bayesian and Perimeter Regularization for Binary Inversion (Q5132053) (← links)
- Deep neural network expression of posterior expectations in Bayesian PDE inversion (Q5139333) (← links)
- Adaptive regularisation for ensemble Kalman inversion (Q5148433) (← links)
- A Low-Rank Approximated Multiscale Method for Pdes With Random Coefficients (Q5148858) (← links)
- Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion (Q5158929) (← links)
- Binary recovery via phase field regularization for first-arrival traveltime tomography (Q5197868) (← links)
- Ensemble Kalman inversion: a derivative-free technique for machine learning tasks (Q5197869) (← links)
- Bayesian Inverse Problems Are Usually Well-Posed (Q6115454) (← links)
- Subordinated Gaussian random fields in elliptic partial differential equations (Q6116915) (← links)
- Dimension‐independent Markov chain Monte Carlo on the sphere (Q6140340) (← links)
- A Bayesian approach for consistent reconstruction of inclusions (Q6149891) (← links)
- CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python (Q6149902) (← links)
- Parametric level-set inverse problems with stochastic background estimation (Q6159108) (← links)
- A statistical framework for domain shape estimation in Stokes flows (Q6171595) (← links)
- On properties and applications of Gaussian subordinated Lévy fields (Q6176163) (← links)
- Variationally mimetic operator networks (Q6185143) (← links)
- Bayesian model error method for the passive inverse scattering problem (Q6557680) (← links)
- Optimizing quantitative photoacoustic imaging systems: the Bayesian Cramér-Rao bound approach (Q6644937) (← links)
