HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing. - Tianlong Chen 001; Chengyue Gong; Daniel Jesus Diaz; Xuxi Chen; Jordan Tyler Wells; Qiang Liu 001; Zhangyang Wang; Andrew D. Ellington; Alex Dimakis; Adam R. Klivans (ICLR, 2023)

Predicting a Protein's Stability under a Million Mutations. - Jeffrey Ouyang-Zhang; Daniel Jesus Diaz; Adam R. Klivans; Philipp Krähenbühl (NeurIPS, 2023)

Evolution-Inspired Loss Functions for Protein Representation Learning. - Chengyue Gong; Adam R. Klivans; James Loy; Tianlong Chen 001; Qiang Liu 001; Daniel Jesus Diaz (ICML, 2024)

Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world. - Adam R. Klivans; Alexandros G. Dimakis; Kristen Grauman; Jonathan I. Tamir; Daniel Jesus Diaz; Karen Davidson (AI Mag., 2024)

Distilling Structural Representations into Protein Sequence Models. - Jeffrey Ouyang-Zhang; Chengyue Gong; Yue Zhao 006; Philipp Krähenbühl; Adam R. Klivans; Daniel Jesus Diaz (ICLR, 2025)