Marvin Pförtner

According to our database, Marvin Pförtner authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Affine Tracing: A New Paradigm for Probabilistic Linear Solvers.

Disha Hegde, Marvin Pförtner, Jon Cockayne

CoRR, May, 2026

2025

laplax - Laplace Approximations with JAX.

Tobias Weber, Bálint Mucsányi, Lenard Rommel, Thomas Christie, Lars Kasüschke, Marvin Pförtner, Philipp Hennig

CoRR, July, 2025

Linearization Turns Neural Operators into Function-Valued Gaussian Processes.

Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp Hennig

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields.

Tim Weiland, Marvin Pförtner, Philipp Hennig

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Computation-Aware Kalman Filtering and Smoothing.

Marvin Pförtner, Jonathan Wenger, Jon Cockayne, Philipp Hennig

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Scaling up Probabilistic PDE Simulators with Structured Volumetric Information.

Tim Weiland, Marvin Pförtner, Philipp Hennig

CoRR, 2024

Reparameterization invariance in approximate Bayesian inference.

Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning.

Tristan Cinquin, Marvin Pförtner, Vincent Fortuin, Philipp Hennig, Robert Bamler

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Sample Path Regularity of Gaussian Processes from the Covariance Kernel.

Nathaël Da Costa, Marvin Pförtner, Lancelot Da Costa, Philipp Hennig

CoRR, 2023

2022

Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers.

Marvin Pförtner, Ingo Steinwart, Philipp Hennig, Jonathan Wenger

CoRR, 2022

Posterior and Computational Uncertainty in Gaussian Processes.

Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. Cunningham

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

ProbNum: Probabilistic Numerics in Python.

Jonathan Wenger, Nicholas Krämer, Marvin Pförtner, Jonathan Schmidt, Nathanael Bosch, Nina Effenberger, Johannes Zenn, Alexandra Gessner, Toni Karvonen, François-Xavier Briol, Maren Mahsereci, Philipp Hennig

CoRR, 2021