16 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Creating Powerful and Interpretable Models with Regression Networks
Lachlan O'Neill, Simon Angus, Satya Borgohain +2
As the discipline has evolved, research in machine learning has been focused more and more on creating more powerful neural networks, without regard for the interpretability of the…
astro-ph.SR2019★ 16 cited
A data-driven model of nucleosynthesis with chemical tagging in a lower-dimensional latent space
Andrew R. Casey, John C. Lattanzio, Aldeida Aleti +9
Chemical tagging seeks to identify unique star formation sites from present-day stellar abundances. Previous techniques have treated each abundance dimension as being statistically…