Guy Moss — accepted AI-conference papers

2025

FNOPE: Simulation-based inference on function spaces with Fourier Neural Operators

Guy Moss, Leah Sophie Muhle, Reinhard Drews, Jakob H. Macke, Cornelius Schröder

NeurIPS 2025poster

Simulation-based inference (SBI) is an established approach for performing Bayesian inference on scientific simulators. SBI so far works best on low-dimensional parametric models. However, it is difficult to infer function-valued parameters, which frequently occur in disciplines that model spatiotem…

Cited by 0 Source ↗Scholar ↗

2024

Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation

Julius Vetter, Guy Moss, Cornelius Schröder, Richard Gao, Jakob H. Macke

NeurIPS 2024poster

Scientific modeling applications often require estimating a distribution of parameters consistent with a dataset of observations - an inference task also known as source distribution estimation. This problem can be ill-posed, however, since many different source distributions might produce the same…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗