ملف الباحث
Francisco Villaescusa-Navarro
ورقتان في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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HIFlow: Generating Diverse HI Maps Conditioned on Cosmology using Normalizing Flow
2021 · arXiv (Cornell University)
A wealth of cosmological and astrophysical information is expected from many ongoing and upcoming large-scale surveys. It is crucial to prepare for these surveys now and develop tools that can efficiently extract the maximum amount …
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Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets
2023
State of the art astronomical simulations have provided datasets which enabled the training of novel deep learning techniques for constraining cosmological parameters. However, differences in subgrid physics implementation and numerical approximations among simulation suites lead …