Katie Christensen, Lyric Otto, Seth Bassetti, Claudia Tebaldi, and Brian Hutchinson. Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models. Tackling Climate Change with Machine Learning Workshop (TCCML) at ICLR, Vienna, Austria, 2024, https://arxiv.org/abs/2404.08797.

Michelle Fast, Luke Dojan, Katie Christensen, Seth Bassetti, Claudia Tebaldi, and Brian Hutchinson. Multi-Variable and Multi-ESM Emulation with Conditional Diffusion Models. AGU 2024, https://ui.adsabs.harvard.edu.

Sarah Coffland, Katie Christensen, Filip Jagodzinski, and Brian Hutchinson. Energy Metric Prediction for Double InDel Mutants via the RoseNet Deep Learning Framework. Bioinformatics Advances Journal of the International Society for Computational Biology, 2024, https://doi.org/10.1093/bioadv/vbae198.

Changrui Li, Katie Christensen, Sarah Coffland, and Filip Jagodzinski. Using Molecular Dynamics to Assess How Two Insertion Mutations Affect Protein Structure. Computational Structural Bioinformatics Workshop (CSBW) at ACM-BCB 2024, https://doi.org/10.1007/978-3-031-85435-4_5.

Sarah Coffland, Katie Christensen, Filip Jagodzinski, and Brian Hutchinson. RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning. Computational Structural Bioinformatics Workshop (CSBW) at ACM-BCB 2023, https://arxiv.org/abs/2310.13806.