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Office 20-30/A15

Maria-von-Linden-Str. 6

D-72076 Tübingen

Marvin Pförtner

I am a PhD student in Philipp Hennig’s group at the University of Tübingen and the International Max Planck Research School for Intelligent Systems (IMPRS-IS). My research revolves around probabilistic numerical methods for partial differential equations and Gaussian processes. I also work on applications of such methods in scientific machine learning.

news

Dec 26, 2022 A preprint of our recent article Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers is now available on arXiv.
Nov 25, 2022 I will be attending NeurIPS 2022 in New Orleans.

selected publications

  1. Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers
    Marvin PförtnerIngo SteinwartPhilipp Hennig, and Jonathan Wenger
    2022
  2. Posterior and Computational Uncertainty in Gaussian Processes
    In Advances in Neural Information Processing Systems, 2022