Four parameters suffice to describe dust attenuation curve diversity in TNG simulations, yielding a new symbolic-regression model that recovers curves and fluxes better than existing parameterizations while linking parameters to SFR surface density, metallicity, and geometry.
Multiview Symbolic Regression , year =
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
ToxSearch-S extends evolutionary toxicity search with embedding-driven speciation and MPI distribution, matching baseline peak toxicity while showing lower search pressure and 1.8-3.2x speedups.
citing papers explorer
-
Learning the Universe: The Structure of Dust Attenuation Curves in Galaxy Simulations
Four parameters suffice to describe dust attenuation curve diversity in TNG simulations, yielding a new symbolic-regression model that recovers curves and fluxes better than existing parameterizations while linking parameters to SFR surface density, metallicity, and geometry.
-
Distributed Quality-Diversity Search for Toxicity in Large Language Models
ToxSearch-S extends evolutionary toxicity search with embedding-driven speciation and MPI distribution, matching baseline peak toxicity while showing lower search pressure and 1.8-3.2x speedups.