papers
Publications (2)
astro-ph.IM2024
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology
Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier +12
This paper presents the Learning the Universe Implicit Likelihood Inference (LtU-ILI) pipeline, a codebase for rapid, user-friendly, and cutting-edge machine learning (ML) inferenc…
astro-ph.CO2024
Hybrid summary statistics: neural weak lensing inference beyond the power spectrum
T. Lucas Makinen, Alan Heavens, Natalia Porqueres +3
In inference problems, we often have domain knowledge which allows us to define summary statistics that capture most of the information content in a dataset. In this paper, we pres…