5 citations · 8 across the 7 of their papers we have counts for
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astro-ph.CO2026
Learning the Universe with the 2nd Generation of CAMELS: Varying 35 parameters of the IllustrisTNG model in (50Mpc/h)^3 boxes
Shy Genel, Yongseok Jo, Boon Kiat Oh +10
We present a new set of 1,192 cosmological simulations as part of the CAMELS project, in which a space of 35 cosmological, astrophysical, and numerical parameters is explored aroun…
astro-ph.CO2025★ 2 cited
Cosmology with Topological Deep Learning
Jun-Young Lee, Francisco Villaescusa-Navarro
The standard cosmological model with cold dark matter posits a hierarchical formation of structures. We introduce topological neural networks (TNNs), implemented as message-passing…
astro-ph.CO2024★ 5 cited
Inferring Cosmological Parameters on SDSS via Domain-Generalized Neural Networks and Lightcone Simulations
Jun-Young Lee, Ji-hoon Kim, Minyong Jung +6
We present a proof-of-concept simulation-based inference on and from the SDSS BOSS LOWZ NGC catalog using neural networks and domain generalization techniques w…