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Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching

Entropy(2023)10.3390/e25101367Source: DataRank Database

Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching is a research paper published in Entropy (2023). On theSindex it has a DataRank of 0. It has been cited 13 times.

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0DataRank · unranked

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Open Access13 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: goldTopics (19)IDs (PubMed, PMC)

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Authors (3)

Yubei Chen ORCID,Friedrich T. Sommer ORCID,Zengyi Li ORCID

Live enrichment

PubMed:37895489 PMC:PMC10606347

NSF

Grant: 1718991

RI: Small: Extracting and Understanding Sparse Structure in Spatiotemporal Data in Neuroscience and Other Applications

NSF

Grant: R01-EB026955

NIBIB NIH HHS

Grant: R01 EB026955

National Institutes of Health

Grant: 5R01EB026955-03

Building analysis tools and a theory framework for inferring principles of neural computation from multi-scale organization in brain recordings

goldLicense: cc-by

publisherhttps://www.mdpi.com/1099-4300/25/10/1367/pdf?version=1695373810

publisherhttps://www.mdpi.com/1099-4300/25/10/1367/pdf

repositoryhttps://arxiv.org/pdf/1910.07762

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10606347/pdf/entropy-25-01367.pdf

repositoryhttps://doaj.org/article/aad14cc055214b8cb4facf10fef2acf3

Fields of Study

02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

Generative ModelEnergy-based ModelScore MatchingFOS: Computer and information sciencesComputer Science - Machine LearningSciencePhysicsQC1-999Computer Vision and Pattern Recognition (cs.CV)QComputer Science - Computer Vision and Pattern RecognitionMachine Learning (stat.ML)AstrophysicsArticleMachine Learning (cs.LG)QB460-466Statistics - Machine Learning