Daniel Jesus Diaz

According to our database, Daniel Jesus Diaz authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Triangle Multiplication Is All You Need For Biomolecular Structure Representations.

Jeffrey Ouyang-Zhang, Pranav Murugan, Daniel Jesus Diaz, Gianluca Scarpellini, Richard Strong Bowen, Nate Gruver, Adam R. Klivans, Philipp Krähenbühl, Aleksandra Faust, Maruan Al-Shedivat

CoRR, October, 2025

Distilling Structural Representations into Protein Sequence Models.

Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Krähenbühl, Adam R. Klivans, Daniel Jesus Diaz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Evolution-Inspired Loss Functions for Protein Representation Learning.

Chengyue Gong, Adam R. Klivans, James Loy, Tianlong Chen, Qiang Liu, Daniel Jesus Diaz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Predicting a Protein's Stability under a Million Mutations.

Jeffrey Ouyang-Zhang, Daniel Jesus Diaz, Adam R. Klivans, Philipp Krähenbühl

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing.

Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans

Proceedings of the Eleventh International Conference on Learning Representations, 2023