Nathaniel Diamant

According to our database, Nathaniel Diamant authored at least 13 papers between 2021 and 2024.

Collaborative distances:

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

2024

Feedback Efficient Online Fine-Tuning of Diffusion Models.

Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Sergey Levine, Tommaso Biancalani

CoRR, 2024

Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control.

Masatoshi Uehara, Yulai Zhao, Kevin Black, Ehsan Hajiramezanali, Gabriele Scalia, Nathaniel Lee Diamant, Alex M. Tseng, Tommaso Biancalani, Sergey Levine

CoRR, 2024

2023

Conformalized Deep Splines for Optimal and Efficient Prediction Sets.

Nathaniel Diamant, Ehsan Hajiramezanali, Tommaso Biancalani, Gabriele Scalia

CoRR, 2023

Complex Preferences for Different Convergent Priors in Discrete Graph Diffusion.

Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia

CoRR, 2023

RINGER: Rapid Conformer Generation for Macrocycles with Sequence-Conditioned Internal Coordinate Diffusion.

Colin A. Grambow, Hayley Weir, Nathaniel L. Diamant, Alex M. Tseng, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang

CoRR, 2023

GraphGUIDE: interpretable and controllable conditional graph generation with discrete Bernoulli diffusion.

Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Gabriele Scalia

CoRR, 2023

Improving Graph Generation by Restricting Graph Bandwidth.

Nathaniel Lee Diamant, Alex M. Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia

Proceedings of the International Conference on Machine Learning, 2023

2022

Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling.

Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron D. Aguirre, Collin M. Stultz, Puneet Batra

PLoS Comput. Biol., 2022

Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk.

Marcus D. R. Klarqvist, Saaket Agrawal, Nathaniel Diamant, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera

npj Digit. Medicine, 2022

Cohort design and natural language processing to reduce bias in electronic health records research.

Shaan Khurshid, Christopher Reeder, Lia X. Harrington, Pulkit Singh, Gopal Sarma, Samuel F. Friedman, Paolo Di Achille, Nathaniel Diamant, Jonathan W. Cunningham, Ashby C. Turner, Emily S. Lau, Julian S. Haimovich, Mostafa A. Al-Alusi, Xin Wang, Marcus D. R. Klarqvist, Jeffrey M. Ashburner, Christian Diedrich, Mercedeh Ghadessi, Johanna Mielke, Hanna M. Eilken, Alice McElhinney, Andrea Derix, Steven J. Atlas, Patrick T. Ellinor, Anthony A. Philippakis, Christopher D. Anderson, Jennifer E. Ho, Puneet Batra, Steven A. Lubitz

npj Digit. Medicine, 2022

A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning.

Austin Atsango, Nathaniel L. Diamant, Ziqing Lu, Tommaso Biancalani, Gabriele Scalia, Kangway V. Chuang

CoRR, 2022

Conditional Diffusion with Less Explicit Guidance via Model Predictive Control.

Max W. Shen, Ehsan Hajiramezanali, Gabriele Scalia, Alex M. Tseng, Nathaniel Diamant, Tommaso Biancalani, Andreas Loukas

CoRR, 2022

2021

Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling.

Nathaniel Diamant, Erik Reinertsen, Steven Song, Aaron D. Aguirre, Collin M. Stultz, Puneet Batra

CoRR, 2021