Marvin Pförtner

According to our database1, Marvin Pförtner authored at least 9 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
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1
2
3
4
5
6
3
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2
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Linearization Turns Neural Operators into Function-Valued Gaussian Processes.
CoRR, 2024

Scaling up Probabilistic PDE Simulators with Structured Volumetric Information.
CoRR, 2024

Computation-Aware Kalman Filtering and Smoothing.
CoRR, 2024

Reparameterization invariance in approximate Bayesian inference.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Sample Path Regularity of Gaussian Processes from the Covariance Kernel.
CoRR, 2023

2022
Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers.
CoRR, 2022

Posterior and Computational Uncertainty in Gaussian Processes.
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.
CoRR, 2021


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