Neil Jethani

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Quantitative Evaluation

Top Venues

Publications

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
A dynamic risk score for early prediction of cardiogenic shock using machine learning. CoRR (2023)
Neil Jethani, Adriel Saporta, Rajesh Ranganath
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation. AISTATS (2023)
Neil Jethani, Adriel Saporta, Rajesh Ranganath
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation. CoRR (2023)
Neil Jethani, Mukund Sudarshan, Ian Connick Covert, Su-In Lee, Rajesh Ranganath
FastSHAP: Real-Time Shapley Value Estimation. ICLR (2022)
Neil Jethani, Aahlad Manas Puli, Hao Zhang, Leonid Garber, Lior Jankelson, Yindalon Aphinyanaphongs, Rajesh Ranganath
New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography. CoRR (2022)
Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. AISTATS (2021)
Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. CoRR (2021)
Neil Jethani, Mukund Sudarshan, Ian Covert, Su-In Lee, Rajesh Ranganath
FastSHAP: Real-Time Shapley Value Estimation. CoRR (2021)