| 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 | 18 | 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 | 9 | 2024 |
| Neural‐network‐based regularization methods for inverse problems in imaging A Habring, M Holler GAMM‐Mitteilungen, e202470004, 2024 | 6 | 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 | 4 | 2023 |
| Subgradient Langevin Methods for Sampling from Non-smooth Potentials A Habring, M Holler, T Pock arXiv preprint arXiv:2308.01417, 2023 | 3 | 2023 |
| Unsupervised energy disaggregation via convolutional sparse coding C Aarset, A Habring, M Holler, M Mitter IEEE Transactions on Consumer Electronics, 2023 | 1 | 2023 |
Martin HollerUniversity of Graz在 uni-graz.at 的电子邮件经过验证
Martin HollerUniversity of Graz在 uni-graz.at 的电子邮件经过验证
Thomas PockProfessor of Computer Science, TU Graz在 icg.tugraz.at 的电子邮件经过验证
Dominik NarnhoferPostdoc ETH Zurich在 ethz.ch 的电子邮件经过验证