Supriya Nagesh

According to our database, Supriya Nagesh authored at least 13 papers between 2016 and 2025.

Collaborative distances:

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

2025

Private Text Generation by Seeding Large Language Model Prompts.

Supriya Nagesh, Justin Y. Chen, Nina Mishra, Tal Wagner

CoRR, February, 2025

2024

Generating colloquial radiology reports with large language models.

Cynthia Crystal Tang, Supriya Nagesh, David Fussell, Justin Glavis-Bloom, Nina Mishra, Charles Li, Gillean Cortes, Robert Hill, Jasmine Zhao, Angellica Gordon, Joshua Wright, Hayden Troutt, Rod Tarrago, Daniel S. Chow

J. Am. Medical Informatics Assoc., 2024

DOSSIER: Fact Checking in Electronic Health Records while Preserving Patient Privacy.

Haoran Zhang, Supriya Nagesh, Milind Shyani, Nina Mishra

Proceedings of the Machine Learning for Healthcare Conference, 2024

2023

Developing Transferable Deep Models for Mobile Health.

Supriya Nagesh

PhD thesis, 2023

Explaining a machine learning decision to physicians via counterfactuals.

Supriya Nagesh, Nina Mishra, Yonatan Naamad, James M. Rehg, Mehul A. Shah, Alexei Wagner

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation.

Maxwell A. Xu, Alexander Moreno, Supriya Nagesh, Varol Burak Aydemir, David W. Wetter, Santosh Kumar, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Kernel Multimodal Continuous Attention.

Alexander Moreno, Zhenke Wu, Supriya Nagesh, Walter H. Dempsey, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Kernel Deformed Exponential Families for Sparse Continuous Attention.

Alexander Moreno, Supriya Nagesh, Zhenke Wu, Walter H. Dempsey, James M. Rehg

CoRR, 2021

Transformers for prompt-level EMA non-response prediction.

Supriya Nagesh, Alexander Moreno, Stephanie Marita Carpenter, Jamie Yap, Soujanya Chatterjee, Steven Lloyd Lizotte, Neng Wan, Santosh Kumar, Cho Lam, David W. Wetter, Inbal Nahum-Shani, James M. Rehg

CoRR, 2021

2020

Classification of Decompensated Heart Failure From Clinical and Home Ballistocardiography.

Varol Burak Aydemir, Supriya Nagesh, Md Mobashir Hasan Shandhi, Joanna Fan, Liviu Klein, Mozziyar Etemadi, James Alex Heller, Omer T. Inan, James M. Rehg

IEEE Trans. Biomed. Eng., 2020

2019

A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM.

Supriya Nagesh, Alexander Moreno, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, James M. Rehg

Proceedings of the Machine Learning for Healthcare Conference, 2019

2017

A high resolution ENF based multi-stage classifier for location forensics of media recordings.

Pradyumna B. Suresha, Supriya Nagesh, Priyadarshini Savan Roshan, Aditya Gaonkar P., G. Nisha Meenakshi, Prasanta Kumar Ghosh

Proceedings of the Twenty-third National Conference on Communications, 2017

2016

A robust speech rate estimation based on the activation profile from the selected acoustic unit dictionary.

Supriya Nagesh, Chiranjeevi Yarra, Om Deshmukh, Prasanta Kumar Ghosh

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016