Pradeep Ravikumar

Computer ScienceMathematicsEngineering

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 6 papers. Top paper: “Identifiability of nonparametric mixture models and Bayes optimal clustering”.

Identifiability of nonparametric mixture models and Bayes optimal clustering

The Annals of Statistics(2020)10.1214/19-aos1887

N/A

0DataRank · unranked

6 citations

Dan Chen, Eric P. Xing, Pradeep Ravikumar, Bryon Aragam

AnEMIC: A Framework for Benchmarking ICD Coding Models

PubMed(2022)10.18653/v1/2022.emnlp-demos.11

N/A

0DataRank · unranked

4 citations

Abheesht Sharma, Suhas Shanbhogue, Jeremy Weiss, Pradeep Ravikumar, Ju-Yong Kim

Optimizing NOTEARS Objectives via Topological Swaps

arXiv (Cornell University)(2023)10.48550/arxiv.2305.17277

N/A

0DataRank · unranked

1 citations

Kevin Bello, Bryon Aragam, Pradeep Ravikumar, Chang Deng

iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models

arXiv (Cornell University)(2023)10.48550/arxiv.2306.17361

N/A

0DataRank · unranked

0 citations

Kevin Bello, Bryon Aragam, Pradeep Ravikumar, Tianyu Chen

Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models

arXiv (Cornell University)(2024)10.48550/arxiv.2402.09236

N/A

0DataRank · unranked

2 citations

Simon Buchholz, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar, Goutham Rajendran

On the Origins of Linear Representations in Large Language Models

arXiv (Cornell University)(2024)10.48550/arxiv.2403.03867

N/A

0DataRank · unranked

2 citations

Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam, Victor Veitch, Yibo Jiang