Aahlad Manas Puli

Orcid: 0009-0008-7079-9782

According to our database1, Aahlad Manas Puli authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation.
Trans. Mach. Learn. Res., 2024

Robust anomaly detection for particle physics using multi-background representation learning.
Mach. Learn. Sci. Technol., 2024

Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities.
CoRR, 2024

2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics.
Trans. Mach. Learn. Res., 2023

A dynamic risk score for early prediction of cardiogenic shock using machine learning.
CoRR, 2023

Shortcut Learning Through the Lens of Early Training Dynamics.
CoRR, 2023

Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy.
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.
Proceedings of the Machine Learning for Healthcare Conference, 2023

DIET: Conditional independence testing with marginal dependence measures of residual information.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation.
CoRR, 2022

New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography.
CoRR, 2022

Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Invariant Representations with Missing Data.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021
Predictive Modeling in the Presence of Nuisance-Induced Spurious Correlations.
CoRR, 2021

Inverse-Weighted Survival Games.
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.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
General Control Functions for Causal Effect Estimation from IVs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Causal Estimation with Functional Confounders.
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.
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.
CoRR, 2019

2018
Removing Hidden Confounding by Experimental Grounding.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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