David Gebauer

collaborators

2 papers

astro-ph.CO2026

C3NN-SBI: Learning Hierarchies of $N$ -Point Statistics from Cosmological Fields with Physics-Informed Neural Networks

Kai Lehman, Zhengyangguang Gong, David Gebauer +2

Cosmological analyses are moving past the well understood 2-point statistics to extract more information from cosmological fields. A natural step in extending inference pipelines t…

astro-ph.CO2025

$SBi3PCF:$ Simulation-based inference with the integrated 3PCF

David Gebauer, Anik Halder, Stella Seitz +1

We present $SBi3PCF$ , a simulation-based inference (SBI) framework for analysing a higher-order weak lensing statistic, the integrated 3-point correlation function (i3PCF)…

C3NN-SBI: Learning Hierarchies of N-Point Statistics from Cosmological Fields with Physics-Informed Neural Networks

SBi3PCF: Simulation-based inference with the integrated 3PCF

C3NN-SBI: Learning Hierarchies of $N$ -Point Statistics from Cosmological Fields with Physics-Informed Neural Networks

$SBi3PCF:$ Simulation-based inference with the integrated 3PCF