Aahlad Manas Puli

According to our database, Aahlad Manas Puli authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

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, Nicholas Kiefer, Nathaniel Smilowitz, James Horowitz, Tania Ahuja, Glenn I Fishman, Judith Hochman, Stuart Katz, Samuel Bernard, Rajesh Ranganath

CoRR, 2023

Shortcut Learning Through the Lens of Early Training Dynamics.

Nihal Murali, Aahlad Manas Puli, Ke Yu, Rajesh Ranganath, Kayhan Batmanghelich

CoRR, 2023

Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy.

Aahlad Manas Puli, Lily H. Zhang, Yoav Wald, Rajesh Ranganath

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Machine Learning for Healthcare Conference, 2023

DIET: Conditional independence testing with marginal dependence measures of residual information.

Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation.

Aahlad Manas Puli, Nitish Joshi, He He, Rajesh Ranganath

CoRR, 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

Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations.

Aahlad Manas Puli, Lily H. Zhang, Eric Karl Oermann, Rajesh Ranganath

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Invariant Representations with Missing Data.

Mark Goldstein, Jörn-Henrik Jacobsen, Olina Chau, Adriel Saporta, Aahlad Manas Puli, Rajesh Ranganath, Andrew C. Miller

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations.

Aahlad Manas Puli, Lily H. Zhang, Eric K. Oermann, Rajesh Ranganath

CoRR, 2021

Inverse-Weighted Survival Games.

Xintian Han, Mark Goldstein, Aahlad Manas Puli, Thomas Wies, Adler J. Perotte, Rajesh Ranganath

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CONTRA: Contrarian statistics for controlled variable selection.

Mukund Sudarshan, Aahlad Manas Puli, Lakshmi Subramanian, Sriram Sankararaman, Rajesh Ranganath

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

General Control Functions for Causal Effect Estimation from IVs.

Aahlad Manas Puli, Rajesh Ranganath

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Causal Estimation with Functional Confounders.

Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

X-CAL: Explicit Calibration for Survival Analysis.

Mark Goldstein, Xintian Han, Aahlad Manas Puli, Adler J. Perotte, Rajesh Ranganath

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Generalized Control Functions via Variational Decoupling.

Aahlad Manas Puli, Rajesh Ranganath

CoRR, 2019

2018

Removing Hidden Confounding by Experimental Grounding.

Nathan Kallus, Aahlad Manas Puli, Uri Shalit

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018