On Learning Prediction-Focused Mixtures. - Abhishek Sharma; Catherine Zeng; Sanjana Narayanan; Sonali Parbhoo; Finale Doshi-Velez (CoRR, 2021)

(When) Are Contrastive Explanations of Reinforcement Learning Helpful? - Sanjana Narayanan; Isaac Lage; Finale Doshi-Velez (CoRR, 2022)

In Silico Optimization of Tissue Microarray Design for Machine Learning Analysis. - Addie Woicik; Zachary R. McCaw; Santiago Akle; Benjamin Dulken; Sanjana Narayanan; Christopher Probert (ISBI, 2024)

Assessing the Limitations of Large Language Models in Clinical Fact Decomposition. - Monica Munnangi; Akshay Swaminathan; Jason Alan Fries; Jenelle A. Jindal; Sanjana Narayanan; Iván López; Lucia Tu; Philip Chung 005; Jesutofunmi A. Omiye; Mehr Kashyap; Nigam Shah (CoRR, 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)

Clinical entity augmented retrieval for clinical information extraction. - Iván López; 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)