Goldstein, Mark

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: “Survival Mixture Density Networks”.

Survival Mixture Density Networks

PubMed(2022)10.48550/arxiv.2208.10759

N/A

0DataRank · unranked

1 citations

Goldstein, Mark, Rajesh Ranganath, Xintian Han

A dynamic risk score for early prediction of cardiogenic shock using machine learning

arXiv (Cornell University)(2023)10.48550/arxiv.2303.12888

N/A

0DataRank · unranked

1 citations

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

Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions

arXiv (Cornell University)(2023)10.48550/arxiv.2302.07261

N/A

0DataRank · unranked

0 citations

Goldstein, Mark, Rajesh Ranganath, Raghav Singhal

What's the score? Automated Denoising Score Matching for Nonlinear Diffusions

arXiv (Cornell University)(2024)10.48550/arxiv.2407.07998

N/A

0DataRank · unranked

0 citations

Goldstein, Mark, Rajesh Ranganath, Raghav Singhal

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