Neil Jethani

According to our database, Neil Jethani authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

2023

A dynamic risk score for early prediction of cardiogenic shock using machine learning.

Yuxuan Hu, Albert Lui, Mark Goldstein, Mukund Sudarshan, Andrea Tinsay, Cindy Tsui, Samuel Maidman, John Medamana, Neil Jethani, Aahlad Manas Puli, Vuthy Nguy, Yindalon Aphinyanaphongs, Nicholas Kiefer, Nathaniel Smilowitz, James Horowitz, Tania Ahuja, Glenn I Fishman, Judith Hochman, Stuart Katz, Samuel Bernard, Rajesh Ranganath

CoRR, 2023

Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation.

Neil Jethani, Adriel Saporta, Rajesh Ranganath

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography.

Neil Jethani, Aahlad Manas Puli, Hao Zhang, Leonid Garber, Lior Jankelson, Yindalon Aphinyanaphongs, Rajesh Ranganath

CoRR, 2022

FastSHAP: Real-Time Shapley Value Estimation.

Neil Jethani, Mukund Sudarshan, Ian Connick Covert, Su-In Lee, Rajesh Ranganath

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations.

Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021