Aahlad Manas Puli

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 28

Top Topics

Sas Enterprise Miner

Survival Analysis

Conditional Independence

Top Venues

Trans. Mach. Learn. Res.

Publications

Abhijith Gandrakota, Lily H. Zhang, Aahlad Manas Puli, Kyle Cranmer, Jennifer Ngadiuba, Rajesh Ranganath, Nhan Tran
Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning. CoRR (2024)
Aahlad Manas Puli, Nitish Joshi, Yoav Wald, He He, Rajesh Ranganath
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation. Trans. Mach. Learn. Res. 2024 (2024)
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)
Nihal Murali, Aahlad Manas Puli, Ke Yu, Rajesh Ranganath, Kayhan Batmanghelich
Shortcut Learning Through the Lens of Early Training Dynamics. CoRR (2023)
Aahlad Manas Puli, Lily H. Zhang, Yoav Wald, Rajesh Ranganath
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy. NeurIPS (2023)
Rhys Compton, Lily H. Zhang, Aahlad Manas Puli, Rajesh Ranganath
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations. CoRR (2023)
Nihal Murali, Aahlad Manas Puli, Ke Yu, Rajesh Ranganath, Kayhan Batmanghelich
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics. Trans. Mach. Learn. Res. 2023 (2023)
Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath
DIET: Conditional independence testing with marginal dependence measures of residual information. AISTATS (2023)
Rhys Compton, Lily H. Zhang, Aahlad Manas Puli, Rajesh Ranganath
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations. MLHC (2023)
Aahlad Manas Puli, Lily H. Zhang, Yoav Wald, Rajesh Ranganath
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy. CoRR (2023)
Aahlad Manas Puli, Nitish Joshi, He He, Rajesh Ranganath
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation. CoRR (2022)
Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller
Learning Invariant Representations with Missing Data. CLeaR (2022)
Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath
DIET: Conditional independence testing with marginal dependence measures of residual information. CoRR (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)
Aahlad Manas Puli, Lily H. Zhang, Eric Karl Oermann, Rajesh Ranganath
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations. ICLR (2022)
Aahlad Manas Puli, Lily H. Zhang, Eric K. Oermann, Rajesh Ranganath
Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations. CoRR (2021)
Mukund Sudarshan, Aahlad Manas Puli, Lakshmi Subramanian, Sriram Sankararaman, Rajesh Ranganath
CONTRA: Contrarian statistics for controlled variable selection. AISTATS (2021)
Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
Causal Estimation with Functional Confounders. CoRR (2021)
Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
X-CAL: Explicit Calibration for Survival Analysis. CoRR (2021)
Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller
Learning Invariant Representations with Missing Data. CoRR (2021)
Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
Inverse-Weighted Survival Games. NeurIPS (2021)
Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath
Inverse-Weighted Survival Games. CoRR (2021)
Aahlad Manas Puli, Rajesh Ranganath
General Control Functions for Causal Effect Estimation from IVs. NeurIPS (2020)
Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
Causal Estimation with Functional Confounders. NeurIPS (2020)
Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath
X-CAL: Explicit Calibration for Survival Analysis. NeurIPS (2020)
Aahlad Manas Puli, Rajesh Ranganath
Generalized Control Functions via Variational Decoupling. CoRR (2019)
Nathan Kallus, Aahlad Manas Puli, Uri Shalit
Removing Hidden Confounding by Experimental Grounding. NeurIPS (2018)
Nathan Kallus, Aahlad Manas Puli, Uri Shalit
Removing Hidden Confounding by Experimental Grounding. CoRR (2018)