3 citations · 5 across the 4 of their papers we have counts for
4 papers
Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models
Katie Christensen, Lyric Otto, Seth Bassetti +2
Earth system models (ESMs) are the principal tools used in climate science to generate future climate projections under various atmospheric emissions scenarios on a global or regio…
A self-consistent data-driven model for determining stellar parameters from optical and near-IR spectra
Logan Sizemore, Diego Llanes, Marina Kounkel +3
Data-driven models, which apply machine learning to infer physical properties from large quantities of data, have become increasingly important for extracting stellar properties fr…
RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning
Sarah Coffland, Katie Christensen, Filip Jagodzinski +1
An amino acid insertion or deletion, or InDel, can have profound and varying functional impacts on a protein's structure. InDel mutations in the transmembrane conductor regulator p…
DiffESM: Conditional Emulation of Earth System Models with Diffusion Models
Seth Bassetti, Brian Hutchinson, Claudia Tebaldi +1
Earth System Models (ESMs) are essential tools for understanding the impact of human actions on Earth's climate. One key application of these models is studying extreme weather eve…