Title |
|---|
 Bayesian Inversion for Nonlinear Imaging Models using Deep Generative
PriorsIEEE Transactions on Computational Imaging (TCI), 2022 |
 Regularising Inverse Problems with Generative Machine Learning ModelsJournal of Mathematical Imaging and Vision (JMIV), 2021 |
 Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks:
Theory, Methods, and AlgorithmsSIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2021 |
 Learning local regularization for variational image restorationScale Space and Variational Methods in Computer Vision (SSVM), 2021 |
 Regularization via deep generative models: an analysis point of viewInternational Conference on Information Photonics (ICIP), 2021 |
 Solving Bayesian Inverse Problems via Variational AutoencodersMathematical and Scientific Machine Learning (MSML), 2019 |