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Marvin Pförtner
Marvin Pförtner
Verified email at uni-tuebingen.de - Homepage
Title
Cited by
Cited by
Year
Physics-informed Gaussian process regression generalizes linear PDE solvers
M Pförtner, I Steinwart, P Hennig, J Wenger
arXiv preprint arXiv:2212.12474, 2022
192022
Probnum: Probabilistic numerics in python
J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ...
arXiv preprint arXiv:2112.02100, 2021
172021
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
122022
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
E Magnani, M Pförtner, T Weber, P Hennig
arXiv preprint arXiv:2406.05072, 2024
2024
Scaling up Probabilistic PDE Simulators with Structured Volumetric Information
T Weiland, M Pförtner, P Hennig
arXiv preprint arXiv:2406.05020, 2024
2024
Reparameterization invariance in approximate Bayesian inference
H Roy, M Miani, CH Ek, P Hennig, M Pförtner, L Tatzel, S Hauberg
arXiv preprint arXiv:2406.03334, 2024
2024
Computation-Aware Kalman Filtering and Smoothing
M Pförtner, J Wenger, J Cockayne, P Hennig
arXiv preprint arXiv:2405.08971, 2024
2024
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
N Da Costa, M Pförtner, L Da Costa, P Hennig
arXiv preprint arXiv:2312.14886, 2023
2023
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