Publications

Efficient monotonic Gaussian processes via Randomize-then-Optimize

Bayesian velocity-space tomography with collision- and charge-exchange-physics prior from fast-ion D-alpha measurements at TCV with uncertainty quantification

Self-supervised conformal prediction for uncertainty quantification in imaging problems

Spatial regularization and level-set methods for experimental electrical impedance tomography with partial data

Sparse Bayesian inference with regularized Gaussian distributions

Bayesian inference with projected densities

Having fun in learning formal specifications

A computational framework and implementation of implicit priors in Bayesian inverse problems

The geometry and well-posedness of sparse regularized linear regression