ML Anthology

Sudarshan, Mukund

6 publications

AISTATS 2023 DIET: Conditional Independence Testing with Marginal Dependence Measures of Residual Information Mukund Sudarshan, Aahlad Puli, Wesley Tansey, Rajesh Ranganath
NeurIPSW 2022 An "interpretable-by-Design" Neural Network to Decipher RNA Splicing Regulatory Logic Susan Elizabeth Liao, Mukund Sudarshan, Oded Regev
ICLR 2022 FastSHAP: Real-Time Shapley Value Estimation Neil Jethani, Mukund Sudarshan, Ian Connick Covert, Su-In Lee, Rajesh Ranganath
AISTATS 2021 CONTRA: Contrarian Statistics for Controlled Variable Selection Mukund Sudarshan, Aahlad Puli, Lakshmi Subramanian, Sriram Sankararaman, Rajesh Ranganath
AISTATS 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
NeurIPS 2020 Deep Direct Likelihood Knockoffs Mukund Sudarshan, Wesley Tansey, Rajesh Ranganath