Removing Hidden Confounding by Experimental Grounding. - Nathan Kallus; Aahlad Manas Puli; Uri Shalit (NeurIPS, 2018)

Generalized Control Functions via Variational Decoupling. - Aahlad Manas Puli; Rajesh Ranganath (CoRR, 2019)

X-CAL: Explicit Calibration for Survival Analysis. - Mark Goldstein; Xintian Han; Aahlad Manas Puli; Adler J. Perotte; Rajesh Ranganath (NeurIPS, 2020)

Causal Estimation with Functional Confounders. - Aahlad Manas Puli; Adler J. Perotte; Rajesh Ranganath (NeurIPS, 2020)

General Control Functions for Causal Effect Estimation from IVs. - Aahlad Manas Puli; Rajesh Ranganath (NeurIPS, 2020)

CONTRA: Contrarian statistics for controlled variable selection. - Mukund Sudarshan; Aahlad Manas Puli; Lakshmi Subramanian; Sriram Sankararaman; Rajesh Ranganath (AISTATS, 2021)

Inverse-Weighted Survival Games. - Xintian Han; Mark Goldstein; Aahlad Manas Puli; Thomas Wies; Adler J. Perotte; Rajesh Ranganath (NeurIPS, 2021)

Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations. - Aahlad Manas Puli; Lily H. Zhang; Eric K. Oermann; Rajesh Ranganath (CoRR, 2021)

Learning Invariant Representations with Missing Data. - Mark Goldstein; Jörn-Henrik Jacobsen; Olina Chau; Adriel Saporta; Aahlad Manas Puli; Rajesh Ranganath; Andrew C. Miller (CLeaR, 2022)

Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations. - Aahlad Manas Puli; Lily H. Zhang; Eric Karl Oermann; Rajesh Ranganath (ICLR, 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)

Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation. - Aahlad Manas Puli; Nitish Joshi; He He 001; Rajesh Ranganath (CoRR, 2022)

DIET: Conditional independence testing with marginal dependence measures of residual information. - Mukund Sudarshan; Aahlad Manas Puli; Wesley Tansey; Rajesh Ranganath (AISTATS, 2023)

When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations. - Rhys Compton; Lily H. Zhang; Aahlad Manas Puli; Rajesh Ranganath (MLHC, 2023)

Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy. - Aahlad Manas Puli; Lily H. Zhang; Yoav Wald; Rajesh Ranganath (NeurIPS, 2023)

Shortcut Learning Through the Lens of Early Training Dynamics. - Nihal Murali; Aahlad Manas Puli; Ke Yu; Rajesh Ranganath; Kayhan Batmanghelich (CoRR, 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; et al. (CoRR, 2023)

Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics. - Nihal Murali; Aahlad Manas Puli; Ke Yu; Rajesh Ranganath; Kayhan Batmanghelich (Trans. Mach. Learn. Res., 2023)

Explanations that reveal all through the definition of encoding. - Aahlad Manas Puli; Nhi Nguyen; Rajesh Ranganath (NeurIPS, 2024)

Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities. - Adriel Saporta; Aahlad Manas Puli; Mark Goldstein; Rajesh Ranganath (NeurIPS, 2024)

Robust anomaly detection for particle physics using multi-background representation learning. - Abhijith Gandrakota; Lily H. Zhang; Aahlad Manas Puli; Kyle Cranmer; Jennifer Ngadiuba; Rajesh Ranganath; Nhan Tran (Mach. Learn. Sci. Technol., 2024)

Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation. - Aahlad Manas Puli; Nitish Joshi; Yoav Wald; He He 001; Rajesh Ranganath (Trans. Mach. Learn. Res., 2024)

Unlocking AI outside the training distribution: Generalization, Causality, and Coronary Risk Modeling - Aahlad Manas Puli (2024)

Black Box Causal Inference: Effect Estimation via Meta Prediction. - Lucius E. J. Bynum; Aahlad Manas Puli; Diego Herrero-Quevedo; Nhi Nguyen; Carlos Fernandez-Granda; Kyunghyun Cho; Rajesh Ranganath (CoRR, 2025)