Joshua Stiller

PhD student, LMU Munich

I am a PhD student at the AIML chair at LMU Munich, supervised by Eyke Hüllermeier and funded by the Munich Center for Machine Learning (MCML). Before my PhD, I did my master’s in mathematics at the Technical University of Munich (TUM).

My research is on machine learning for partial differential equations and dynamical systems. Current interests:

  • Neural operators
  • Learning dynamics from data
  • Uncertainty quantification for PDE surrogates
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selected publications

NeurIPS
OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators
Joshua Stiller, Santo M. A. R. Thies, Felix Czaja, Eyke Hüllermeier
NeurIPS 2026
NeurIPS
Conformal Prediction for Time-Dependent PDEs
Joshua Stiller, Annika Schneider, Eyke Hüllermeier
NeurIPS 2026

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