Francisco Villaescusa-Navarro
Orcid: 0000-0002-4816-0455
According to our database1,
Francisco Villaescusa-Navarro
authored at least 26 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets.
CoRR, 2023
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects.
CoRR, 2023
The CAMELS project: Expanding the galaxy formation model space with new ASTRID and 28-parameter TNG and SIMBA suites.
CoRR, 2023
2022
The SZ flux-mass (Y-M) relation at low halo masses: improvements with symbolic regression and strong constraints on baryonic feedback.
CoRR, 2022
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation.
CoRR, 2022
Fast and realistic large-scale structure from machine-learning-augmented random field simulations.
CoRR, 2022
Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter.
CoRR, 2022
2021
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence.
CoRR, 2021
Robust marginalization of baryonic effects for cosmological inference at the field level.
CoRR, 2021
2020
2019
CoRR, 2019
2015