Sanjana Narayanan

According to our database, Sanjana Narayanan authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

Clinical entity augmented retrieval for clinical information extraction.

Ivan Lopez, Akshay Swaminathan, Karthik S. Vedula, Sanjana Narayanan, Fateme Nateghi Haredasht, Stephen P. Ma, April S. Liang, Steven Tate, Manoj Maddali, Robert Gallo, Nigam H. Shah, Jonathan H. Chen

npj Digit. Medicine, 2025

FactEHR: A Dataset for Evaluating Factuality in Clinical Notes Using LLMs.

Monica Munnangi, Akshay Swaminathan, Jason Alan Fries, Jenelle A. Jindal, Sanjana Narayanan, Ivan Lopez, Lucia Tu, Philip Chung, Jesutofunmi A. Omiye, Mehr Kashyap, Nigam Shah

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

Task-Relevant Feature Selection with Prediction Focused Mixture Models.

Abhishek Sharma, Catherine Zeng, Sanjana Narayanan, Sonali Parbhoo, Roy H. Perlis, Finale Doshi-Velez

Trans. Mach. Learn. Res., 2024

Assessing the Limitations of Large Language Models in Clinical Fact Decomposition.

Monica Munnangi, Akshay Swaminathan, Jason Alan Fries, Jenelle A. Jindal, Sanjana Narayanan, Ivan Lopez, Lucia Tu, Philip Chung, Jesutofunmi A. Omiye, Mehr Kashyap, Nigam Shah

CoRR, 2024

In Silico Optimization of Tissue Microarray Design for Machine Learning Analysis.

Addie Woicik, Zachary R. McCaw, Santiago Akle, Benjamin Dulken, Sanjana Narayanan, Christopher Probert

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2022

(When) Are Contrastive Explanations of Reinforcement Learning Helpful?

Sanjana Narayanan, Isaac Lage, Finale Doshi-Velez

CoRR, 2022

2021

On Learning Prediction-Focused Mixtures.

Abhishek Sharma, Catherine Zeng, Sanjana Narayanan, Sonali Parbhoo, Finale Doshi-Velez

CoRR, 2021