Diaz, Daniel Jesus

8 publications

ICLR 2026 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 Klivans, Philipp Kraehenbuehl, Aleksandra Faust, Maruan Al-Shedivat

NeurIPS 2025 Ambient Proteins - Training Diffusion Models on Noisy Structures Giannis Daras, Jeffrey Ouyang-Zhang, Krithika Ravishankar, Constantinos Costis Daskalakis, Adam Klivans, Daniel Jesus Diaz

ICLR 2025 Distilling Structural Representations into Protein Sequence Models Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Kraehenbuehl, Adam Klivans, Daniel Jesus Diaz

NeurIPSW 2024 Distilling Structural Representations into Protein Sequence Models Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Kraehenbuehl, Adam Klivans, Daniel Jesus Diaz

ICML 2024 Evolution-Inspired Loss Functions for Protein Representation Learning Chengyue Gong, Adam Klivans, James Madigan Loy, Tianlong Chen, Qiang Liu, Daniel Jesus Diaz

ICLRW 2024 Evolution-Inspired Loss Functions for Protein Representation Learning Chengyue Gong, Adam Klivans, James Madigan Loy, Tianlong Chen, Qiang Liu, Daniel Jesus Diaz

ICLR 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 Ellington, Alex Dimakis, Adam Klivans

NeurIPSW 2022 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 Ellington, Alex Dimakis, Adam Klivans