Astrophysics - Cosmology and Nongalactic Astrophysics

Learning the Universe: cosmological and astrophysical parameter inference with galaxy luminosity functions and colours

Creating halos with autoregressive multistage networks

Learning the Universe: Physically Motivated Priors for Dust Attenuation Curves

Cosmology with One Galaxy: Autoencoding the Galaxy Properties Manifold

Learning the Universe: $3\ h^{-1}{\rm Gpc}$ Tests of a Field Level $N$-body Simulation Emulator

Sensitivity analysis of simulation-based inference for galaxy clustering

Bye-bye, Local-in-matter-density Bias: The Statistics of the Halo Field Are Poorly Determined by the Local Mass Density

LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology

Posterior sampling of the initial conditions of the universe from non-linear large scale structures using score-based generative models

Inpainting Galaxy Counts onto N-Body Simulations over Multiple Cosmologies and Astrophysics