Marvin Pförtner

17 papers A* 4A 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Computation-Aware Kalman Filtering and Smoothing. AISTATS Marvin Pförtner, Jonathan Wenger, Jon Cockayne, Philipp Hennig
2025	A	`conf`	Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields. AISTATS Tim Weiland, Marvin Pförtner, Philipp Hennig
2025	J	`jnl`	Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields. CoRR Tim Weiland, Marvin Pförtner, Philipp Hennig
2025	A*	`conf`	Linearization Turns Neural Operators into Function-Valued Gaussian Processes. ICML Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp Hennig
2025	J	`jnl`	laplax - Laplace Approximations with JAX. CoRR Tobias Weber, Bálint Mucsányi, Lenard Rommel, Thomas Christie, Lars Kasüschke, Marvin Pförtner, Philipp Hennig
2024	J	`jnl`	Computation-Aware Kalman Filtering and Smoothing. CoRR Marvin Pförtner, Jonathan Wenger, Jon Cockayne, Philipp Hennig
2024	A*	`conf`	FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning. NeurIPS Tristan Cinquin, Marvin Pförtner, Vincent Fortuin, Philipp Hennig, Robert Bamler
2024	J	`jnl`	FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning. CoRR Tristan Cinquin, Marvin Pförtner, Vincent Fortuin, Philipp Hennig, Robert Bamler
2024	J	`jnl`	Linearization Turns Neural Operators into Function-Valued Gaussian Processes. CoRR Emilia Magnani, Marvin Pförtner, Tobias Weber, Philipp Hennig
2024	A*	`conf`	Reparameterization invariance in approximate Bayesian inference. NeurIPS Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg
2024	J	`jnl`	Reparameterization invariance in approximate Bayesian inference. CoRR Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg
2024	J	`jnl`	Scaling up Probabilistic PDE Simulators with Structured Volumetric Information. CoRR Tim Weiland, Marvin Pförtner, Philipp Hennig
2023	J	`jnl`	Sample Path Regularity of Gaussian Processes from the Covariance Kernel. CoRR Nathaël Da Costa, Marvin Pförtner, Lancelot Da Costa, Philipp Hennig
2022	J	`jnl`	Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers. CoRR Marvin Pförtner, Ingo Steinwart, Philipp Hennig, Jonathan Wenger
2022	A*	`conf`	Posterior and Computational Uncertainty in Gaussian Processes. NeurIPS Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. Cunningham
2022	J	`jnl`	Posterior and Computational Uncertainty in Gaussian Processes. CoRR Jonathan Wenger, Geoff Pleiss, Marvin Pförtner, Philipp Hennig, John P. Cunningham
2021	J	`jnl`	ProbNum: Probabilistic Numerics in Python. CoRR 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