2 papers
astro-ph.SR2026
Probabilistic neural network approach to determining parameters of eclipsing binaries
Marina Kounkel, Logan Sizemore, Hidemi Mitani Shen +7
Eclipsing binaries provide one of the most direct mechanisms for measuring stellar properties such as mass and radius, but historically, determining these properties has been non-t…
econ.GN2024
Emulating the Global Change Analysis Model with Deep Learning
Andrew Holmes, Matt Jensen, Sarah Coffland +7
The Global Change Analysis Model (GCAM) simulates complex interactions between the coupled Earth and human systems, providing valuable insights into the co-evolution of land, water…