Full Professor, University of Tuebingen
4 papers at NeurIPS 2025
We present NPE-PFN, a method that uses TabPFN for training-free and simulation-efficient Bayesian inference.
We propose a method for performing simulation-based inference (SBI) of function-valued parameters, and apply it to spatial inference problems in the geosciences.