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Generative Adversarial Model-Based Optimization via Source Critic Regularization

PubMed(2024)10.52202/079017-1397Source: DataRank Database

Generative Adversarial Model-Based Optimization via Source Critic Regularization is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)OA: greenTopics (16)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

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Authors (6)

Yimeng Zeng,Hamsa Bastani ORCID,Jacob R. Gardner ORCID,James C. Gee ORCID,Osbert Bastani ORCID

Live enrichment

PubMed:40352742 PMC:PMC12065601 OpenAlex:https://openalex.org/W4410313490

NIMHD NIH HHS

Grant: F30 MD020264

NIBIB NIH HHS

Grant: R01 EB031722

National Science Foundation

Grant: 2145644

CAREER: Scalable Black-box Optimization for Scientific Discovery

National Institutes of Health

Grant: 5R01EB031722-02

Advanced Normalization Tools

National Science Foundation

Grant: 1917852

Expeditions: Collaborative Research: Understanding the World Through Code

National Institutes of Health

Grant: 5T32EB009384-09

Training Program in Biomedical Imaging and Informational Sciences

greenLicense: CC BY

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12065601/pdf/nihms-2078161.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12065601

https://doi.org/10.52202/079017-1397

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40352742

Fields of Study

Adversarial Robustness in Machine LearningImage Processing Techniques and ApplicationsModel Reduction and Neural Networks

Keywords

Adversarial systemRegularization (linguistics)Generative grammarComputer scienceArtificial intelligenceSource modelMachine learningTheoretical computer scienceFOS: Computer and information sciencesComputer Science - Machine LearningArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceMachine Learning (cs.LG)

Sustainable Development Goals

SDG 3: 3. Good health