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    Mixture Density Nonlinear Manifold Decoder for Emulating Stochastic Simulators and One-Shot Uncertainty Propagation

    Source: Journal of Engineering Mechanics:;2026:;Volume ( 152 ):;issue: 002::page 04025101-1
    Author:
    Thakur, Akshay
    ,
    Chakraborty, Souvik
    DOI: 10.1061/JENMDT.EMENG-8613
    Publisher: American Society of Civil Engineers
    Abstract: AbstractWe propose a neural operator framework, termed mixture density nonlinear manifold decoder (MD-NOMAD), for emulating the conditional response distribution of stochastic simulators. Our framework leverages an amalgamation of the pointwise operator ...
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      Mixture Density Nonlinear Manifold Decoder for Emulating Stochastic Simulators and One-Shot Uncertainty Propagation

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311350
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    • Journal of Engineering Mechanics

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    contributor authorThakur, Akshay
    contributor authorChakraborty, Souvik
    date accessioned2026-08-20T10:51:07Z
    date available2026-08-20T10:51:07Z
    date copyright2025/12/13
    date issued2026
    identifier otherJENMDT.EMENG-8613.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311350
    description abstractAbstractWe propose a neural operator framework, termed mixture density nonlinear manifold decoder (MD-NOMAD), for emulating the conditional response distribution of stochastic simulators. Our framework leverages an amalgamation of the pointwise operator ...
    publisherAmerican Society of Civil Engineers
    titleMixture Density Nonlinear Manifold Decoder for Emulating Stochastic Simulators and One-Shot Uncertainty Propagation
    typeJournal Article
    journal volume152
    journal issue2
    journal titleJournal of Engineering Mechanics
    identifier doi10.1061/JENMDT.EMENG-8613
    journal fristpage04025101-1
    journal lastpage04025101-17
    page17
    treeJournal of Engineering Mechanics:;2026:;Volume ( 152 ):;issue: 002
    contenttypeFulltext
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