Snapshot of CUQI Research 2023
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These presentations give a good set of snapshots of the research activities in 2023 in the project CUQI, Computational Uncertainty Quantification for Inverse problems. All presentations are from the 11th Applied Inverse Problems conference, AIP 2023, in Göttingen, September 4-8, 2023. We organized 7 mini-symposia and gave 12 presentations and a poster, presented here as PDF files. Unfortunately, not everyone was present for the group photos. |
- Bayesian computations with Plug & Play priors for inverse problems in imaging sciencesa>
- Computational Uncertainty Quantification for Inverse problems in python
- Certified Coordinate Selection for large-dimensional Bayesian Inversion
- Edge-Preserving Tomographic Reconstruction with Uncertain View Angles (poster)
- Exploting a posterior with Besov prior through sampling
- Fourier method for inverse source problem using correlation of passive measurements
- How to sample from a posterior like you sample from a prior
- Iterative Update of Linearization Model Error for Conductivity Reconstruction from Interior Current Density Information
- Optimization under uncertainty for the Helmholtz equation with application to PNJ configuration
- Posterior consistency for Bayesian inverse Problems with piecewise constant inclusions
- Sparse Bayesian Inference with Regularized Gaussian Distributions
- Spectral properties of radiation for the Helmholtz equation with a random coefficient
- Structural Gaussian Priors for CT reconstruction of Subsea Pipes
