Roman Vershynin

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 7 papers. Top paper: “Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets”.

Differentially Private Low-dimensional Synthetic Data from High-dimensional Datasets

arXiv (Cornell University)(2023)10.48550/arxiv.2305.17148

N/A

0DataRank · unranked

1 citations

Thomas Strohmer, Roman Vershynin, Yizhe Zhu, Yiyun He

Covariance loss, Szemeredi regularity, and differential privacy

arXiv (Cornell University)(2023)10.48550/arxiv.2301.02705

N/A

0DataRank · unranked

0 citations

Thomas Strohmer, Roman Vershynin, March T. Boedihardjo

Private measures, random walks, and synthetic data

Probability Theory and Related Fields(2024)10.1007/s00440-024-01279-z

N/A

0DataRank · unranked

4 citations

Thomas Strohmer, Roman Vershynin, March T. Boedihardjo

An Algorithm for Streaming Differentially Private Data

arXiv (Cornell University)(2024)10.48550/arxiv.2401.14577

N/A

0DataRank · unranked

0 citations

Thomas Strohmer, Roman Vershynin, Girish Kumar

Metric geometry of the privacy-utility tradeoff

arXiv (Cornell University)(2024)10.48550/arxiv.2405.00329

N/A

0DataRank · unranked

0 citations

Thomas Strohmer, Roman Vershynin, March T. Boedihardjo

Differentially Private Synthetic High-dimensional Tabular Stream

arXiv (Cornell University)(2024)10.48550/arxiv.2409.00322

N/A

0DataRank · unranked

0 citations

Thomas Strohmer, Roman Vershynin, Girish Kumar

Covariance loss, Szemeredi regularity, and differential privacy

Proceedings of the American Mathematical Society(2025)10.1090/proc/17126

N/A

0DataRank · unranked

0 citations

Thomas Strohmer, Roman Vershynin, March T. Boedihardjo