| Physics-informed Gaussian process regression generalizes linear PDE solvers M Pförtner, I Steinwart, P Hennig, J Wenger arXiv preprint arXiv:2212.12474, 2022 | 60 | 2022 |
| 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 | 35 | 2022 |
| Probnum: Probabilistic numerics in python J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ... arXiv preprint arXiv:2112.02100, 2021 | 22 | 2021 |
| 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 | 18 | 2023 |
| FSP-laplace: Function-space priors for the laplace approximation in bayesian deep learning T Cinquin, M Pförtner, V Fortuin, P Hennig, R Bamler Advances in Neural Information Processing Systems 37, 13897-13926, 2024 | 13 | 2024 |
| Reparameterization invariance in approximate Bayesian inference H Roy, M Miani, CH Ek, P Hennig, M Pförtner, L Tatzel, S Hauberg Advances in Neural Information Processing Systems 37, 8132-8164, 2024 | 10 | 2024 |
| Uncertainty quantification for fourier neural operators T Weber, E Magnani, M Pförtner, P Hennig ICLR 2024 workshop on AI4DifferentialEquations in science, 2024 | 6 | 2024 |
| Linearization turns neural operators into function-valued Gaussian processes E Magnani, M Pförtner, T Weber, P Hennig arXiv preprint arXiv:2406.05072, 2024 | 5 | 2024 |
| Computation-aware Kalman filtering and smoothing M Pförtner, J Wenger, J Cockayne, P Hennig arXiv preprint arXiv:2405.08971, 2024 | 3 | 2024 |
| Scaling up Probabilistic PDE Simulators with Structured Volumetric Information T Weiland, M Pförtner, P Hennig arXiv preprint arXiv:2406.05020, 2024 | 1 | 2024 |
| Probabilistic wind speed downscaling for future wind power assessment N Effenberger, M Pförtner, P Hennig, N Ludwig URL https://meetingorganizer. copernicus. org/EGU24/EGU24-2034. html, 2024 | 1 | 2024 |
| Constructive Disintegration and Conditional Modes N Da Costa, M Pförtner, J Cockayne arXiv preprint arXiv:2508.00617, 2025 | | 2025 |
| laplax--Laplace Approximations with JAX T Weber, B Mucsányi, L Rommel, T Christie, L Kasüschke, M Pförtner, ... arXiv preprint arXiv:2507.17013, 2025 | | 2025 |
| Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields T Weiland, M Pförtner, P Hennig arXiv preprint arXiv:2503.08343, 2025 | | 2025 |
Philipp HennigUniversity of Tübingen, Tübingen AI CenterVerified email at uni-tuebingen.de
