Sotabase

Career

· Faculty Fellow, New York University2024–
· Research Intern, Adobe2019–
· PhD in Computer Science, New York University, Courant Institute2018–2024
· Software Engineer, Columbia University, Biomedical Informatics2017–2018
· MS in Computer Science, New York University2015–2017
· BTech + MTech in Electrical Engineering, Indian Institute of Technology, Madras2010–2015

Publications (62)

Removing Hidden Confounding by Experimental Grounding
Neural Information Processing Systems · 2018
158
cited
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
International Conference on Learning Representations · 2021
54
cited
X-CAL: Explicit Calibration for Survival Analysis
Neural Information Processing Systems · 2020
40
cited
Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
Neural Information Processing Systems · 2023
30
cited
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation
Trans. Mach. Learn. Res. · 2022
21
cited
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations
Machine Learning in Health Care · 2023
20
cited
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
Trans. Mach. Learn. Res. · 2023
14
cited
Causal Estimation with Functional Confounders
Neural Information Processing Systems · 2020
12
cited
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities
Neural Information Processing Systems · 2024
12
cited
Inverse-Weighted Survival Games
Neural Information Processing Systems · 2021
12
cited
Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations
arXiv.org · 2021
9
cited
General Control Functions for Causal Effect Estimation from IVs
Neural Information Processing Systems · 2020
8
cited
General Control Functions for Causal Effect Estimation from Instrumental Variables.
Advances in Neural Information Processing Systems · 2020
7
cited
Black Box Causal Inference: Effect Estimation via Meta Prediction
arXiv.org · 2025
6
cited
Learning Invariant Representations with Missing Data
CLEaR · 2021
5
cited
Explanations that reveal all through the definition of encoding
Neural Information Processing Systems · 2024
4
cited
Generalized Control Functions via Variational Decoupling
arXiv.org · 2019
4
cited
A dynamic risk score for early prediction of cardiogenic shock using machine learning
arXiv.org · 2023
3
cited
CONTRA: Contrarian statistics for controlled variable selection
International Conference on Artificial Intelligence and Statistics · 2021
3
cited
New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography
arXiv.org · 2022
3
cited
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Aahlad Puli | Researcher Profile | Sotabase | Sotabase