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ORCIDMukund Sudarshan
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2020 – today
- 2023
[c5]Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath:
DIET: Conditional independence testing with marginal dependence measures of residual information. AISTATS 2023: 10343-10367- [i6]Raghav Singhal, Mukund Sudarshan, Anish Mahishi, Sri Kaushik, Luke Ginocchio, Angela Tong, Hersh Chandarana, Daniel K. Sodickson, Rajesh Ranganath, Sumit Chopra:
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease. CoRR abs/2301.11962 (2023) - [i5]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 abs/2303.12888 (2023) - 2022
- [c4]Neil Jethani, Mukund Sudarshan, Ian Connick Covert, Su-In Lee, Rajesh Ranganath:
FastSHAP: Real-Time Shapley Value Estimation. ICLR 2022 - [i4]Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath:
DIET: Conditional independence testing with marginal dependence measures of residual information. CoRR abs/2208.08579 (2022) - 2021
- [c3]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: 1459-1467 - [c2]Mukund Sudarshan, Aahlad Manas Puli, Lakshmi Subramanian, Sriram Sankararaman, Rajesh Ranganath:
CONTRA: Contrarian statistics for controlled variable selection. AISTATS 2021: 1900-1908 - [i3]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 abs/2103.01890 (2021) - [i2]Neil Jethani, Mukund Sudarshan, Ian Covert, Su-In Lee, Rajesh Ranganath:
FastSHAP: Real-Time Shapley Value Estimation. CoRR abs/2107.07436 (2021) - 2020
- [j1]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:
A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients. npj Digit. Medicine 3 (2020) - [c1]Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath:
Deep Direct Likelihood Knockoffs. NeurIPS 2020 - [i1]Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath:
Deep Direct Likelihood Knockoffs. CoRR abs/2007.15835 (2020)
Coauthor Index
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