Mukund Sudarshan

13 papers A* 2A 3Journal 7

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A dynamic risk score for early prediction of cardiogenic shock using machine learning. CoRR 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
2023	A	`conf`	DIET: Conditional independence testing with marginal dependence measures of residual information. AISTATS Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath
2023	J	`jnl`	On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. CoRR Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra
2022	J	`jnl`	DIET: Conditional independence testing with marginal dependence measures of residual information. CoRR Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath
2022	A*	`conf`	FastSHAP: Real-Time Shapley Value Estimation. ICLR Neil Jethani, Mukund Sudarshan, Ian Connick Covert, Su-In Lee, Rajesh Ranganath
2022	—	`—`	On deep learning tools for scientific discovery in healthcare Mukund Sudarshan
2021	A	`conf`	CONTRA: Contrarian statistics for controlled variable selection. AISTATS Mukund Sudarshan, Aahlad Manas Puli, Lakshmi Subramanian, Sriram Sankararaman, Rajesh Ranganath
2021	J	`jnl`	FastSHAP: Real-Time Shapley Value Estimation. CoRR Neil Jethani, Mukund Sudarshan, Ian Covert, Su-In Lee, Rajesh Ranganath
2021	A	`conf`	Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. AISTATS Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath
2021	J	`jnl`	Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. CoRR Neil Jethani, Mukund Sudarshan, Yindalon Aphinyanaphongs, Rajesh Ranganath
2020	J	`jnl`	A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients. npj Digit. Medicine Narges Razavian, Vincent J. Major, Mukund Sudarshan, Jesse Burk-Rafel, Peter Stella, Hardev Randhawa, Seda Bilaloglu, Ji Chen, Vuthy Nguy, Walter Wang, Hao Zhang, Ilan Reinstein, David Kudlowitz, Cameron Zenger, Meng Cao, Ruina Zhang, Siddhant Dogra, Keerthi B. Harish, Brian Bosworth, Fritz Francois, Leora I. Horwitz, Rajesh Ranganath, Jonathan S. Austrian, Yindalon Aphinyanaphongs
2020	A*	`conf`	Deep Direct Likelihood Knockoffs. NeurIPS Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath
2020	J	`jnl`	Deep Direct Likelihood Knockoffs. CoRR Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath