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Neural Active Manifolds: Nonlinear Dimensionality Reduction for Uncertainty Quantification

Journal of Scientific Computing(2025)10.1007/s10915-025-03113-7Source: DataRank Database

Neural Active Manifolds: Nonlinear Dimensionality Reduction for Uncertainty Quantification is a research paper published in Journal of Scientific Computing (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 1.25)OA: hybridTopics (12)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Gianluca Geraci,Matteo Salvador ORCID,Alison L. Marsden ORCID,Daniele E. Schiavazzi ORCID,Andrea Zanoni ORCID

Live enrichment

PubMed:41200021 OpenAlex:https://openalex.org/W4415841488

National Science Foundation

Grant: 1942662

National Science Foundation

Grant: 2104831

National Science Foundation

Grant: 2105345

National Institutes of Health

Grant: R01EB029362

National Institutes of Health

Grant: R01HL167516

FWCI

1.25

Citation Percentile

0.8%

Citation Trend

2025

2026

hybridLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1007/s10915-025-03113-7.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s10915-025-03113-7.pdf

publisherhttps://link.springer.com/article/10.1007/s10915-025-03113-7/fulltext.html

journalhttps://doi.org/10.1007/s10915-025-03113-7

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41200021

Fields of Study

Model Reduction and Neural NetworksAdvanced Graph Neural NetworksStochastic Gradient Optimization Techniques

Keywords

Curse of dimensionalityDimensionality reductionUncertainty quantificationEstimatorNonlinear systemLeverage (statistics)Sampling (signal processing)Sensitivity (control systems)Nonlinear dimensionality reduction