Article-Journal

Learning the Universe: Cosmological and Astrophysical Parameter Inference with Galaxy Luminosity Functions and Colours

Metallicity Dependence of Pressure-regulated Feedback-modulated Star Formation in the TIGRESS-NCR Simulation Suite

CHARM: Creating Halos with Auto-Regressive Multi-stage networks

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

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

MNRAS: Letters 527

Information-Ordered Bottlenecks for Adaptive Dimensionality Reduction

Constructing Impactful Machine Learning Research for Astronomy: Best Practices for Researchers and Reviewers

Benchmarks and explanations for deep learning estimates of X-ray galaxy cluster masses