Aahlad Puli

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 5 papers. Top paper: “Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations”.

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

arXiv (Cornell University)(2021)10.48550/arxiv.2107.00520

N/A

0DataRank · unranked

5 citations

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

When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations

arXiv (Cornell University)(2023)10.48550/arxiv.2308.04431

N/A

0DataRank · unranked

4 citations

Lily Zhang, Aahlad Puli, Rajesh Ranganath, Rhys Compton

Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learning

European Heart Journal Acute Cardiovascular Care(2024)10.1093/ehjacc/zuae037

N/A

0DataRank · unranked

17 citations

Albert Lui, Mark Goldstein, Mukund Sudarshan, Andrea Tinsay, Cindy Tsui +16 more

Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities

arXiv (Cornell University)(2024)10.48550/arxiv.2411.01053

N/A

0DataRank · unranked

0 citations

Aahlad Puli, Goldstein, Mark, Rajesh Ranganath, Adriel Saporta

Explanations that reveal all through the definition of encoding

arXiv (Cornell University)(2024)10.48550/arxiv.2411.02664

N/A

0DataRank · unranked

0 citations

Nhi Nguyen, Rajesh Ranganath, Aahlad Puli