Pförtner, Marvin

7 publications

AISTATS 2025 Computation-Aware Kalman Filtering and Smoothing Marvin Pförtner, Jonathan Wenger, Jon Cockayne, Philipp Hennig

AISTATS 2025 Flexible and Efficient Probabilistic PDE Solvers Through Gaussian Markov Random Fields Tim Weiland, Marvin Pförtner, Philipp Hennig

ICML 2025 Linearization Turns Neural Operators into Function-Valued Gaussian Processes Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp Hennig

NeurIPS 2024 FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning Tristan Cinquin, Marvin Pförtner, Vincent Fortuin, Philipp Hennig, Robert Bamler

NeurIPS 2024 Reparameterization Invariance in Approximate Bayesian Inference Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg

ICLRW 2024 Uncertainty Quantification for Fourier Neural Operators Tobias Weber, Emilia Magnani, Marvin Pförtner, Philipp Hennig

NeurIPS 2022 Posterior and Computational Uncertainty in Gaussian Processes Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. Cunningham