Papers

• Inferring halo masses with Graph Neural Networks (2021)
  Pablo Villanueva-Domingo et al.
  —
• Weighing the Milky Way and Andromeda with Artificial Intelligence (2021)
  Pablo Villanueva-Domingo et al.
  —
• Learning cosmology and clustering with cosmic graphs (2022)
  Pablo Villanueva-Domingo et al.
  —
• Robust field-level inference with dark matter halos (2022)
  Helen Shao et al.
  —
• $\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees (2022)
  Christian Kragh Jespersen et al.
  —
• Robust Field-level Likelihood-free Inference with Galaxies (2023)
  Natal\'i S. M. de Santi et al.
  —
• Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects (2023)
  Natal\'i S. M. de Santi et al.
  —
• Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks (2024)
  Nikhil Garuda et al.
  —