| A generative variational model for inverse problems in imaging A Habring, M Holler SIAM Journal on Mathematics of Data Science 4 (1), 306-335, 2022 | 24 | 2022 |
| Posterior-Variance–Based Error Quantification for Inverse Problems in Imaging D Narnhofer, A Habring, M Holler, T Pock SIAM Journal on Imaging Sciences 17 (1), 301-333, 2024 | 16 | 2024 |
| Neural‐network‐based regularization methods for inverse problems in imaging A Habring, M Holler GAMM‐Mitteilungen 47 (4), e202470004, 2024 | 13 | 2024 |
| A note on the regularity of images generated by convolutional neural networks A Habring, M Holler SIAM Journal on Mathematics of Data Science 5 (3), 670-692, 2023 | 6 | 2023 |
| Subgradient Langevin Methods for Sampling from Nonsmooth Potentials A Habring, M Holler, T Pock SIAM Journal on Mathematics of Data Science 6 (4), 897-925, 2024 | 5 | 2024 |
| Unsupervised energy disaggregation via convolutional sparse coding C Aarset, A Habring, M Holler, M Mitter IEEE Transactions on Consumer Electronics, 2023 | 1 | 2023 |
| Ergodicity of Langevin Dynamics and its Discretizations for Non-smooth Potentials L Fruehwirth, A Habring arXiv preprint arXiv:2411.12051, 2024 | | 2024 |
Martin HollerUniversity of GrazVerified email at uni-graz.at