| Physics-informed Gaussian process regression generalizes linear PDE solvers M Pförtner, I Steinwart, P Hennig, J Wenger arXiv preprint arXiv:2212.12474, 2022 | 18 | 2022 |
| Probnum: Probabilistic numerics in python J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ... arXiv preprint arXiv:2112.02100, 2021 | 14 | 2021 |
| Posterior and computational uncertainty in Gaussian processes J Wenger, G Pleiss, M Pförtner, P Hennig, JP Cunningham Advances in Neural Information Processing Systems 35, 10876-10890, 2022 | 9 | 2022 |
| Probabilistic Wind Speed Downscaling for Future Wind Power Assessment N Effenberger, M Pförtner, P Hennig, N Ludwig EGU24, 2024 | | 2024 |
| Uncertainty Quantification for Fourier Neural Operators T Weber, E Magnani, M Pförtner, P Hennig ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | | 2024 |
| Sample Path Regularity of Gaussian Processes from the Covariance Kernel P Hennig, L Da Costa, M Pförtner, N Da Costa arXiv, 2024 | | 2024 |
| Sample Path Regularity of Gaussian Processes from the Covariance Kernel N Da Costa, M Pförtner, L Da Costa, P Hennig arXiv preprint arXiv:2312.14886, 2023 | | 2023 |
Philipp HennigUniversity of TübingenZweryfikowany adres z uni-tuebingen.de
