| dc.contributor.author | Thakur, Akshay | |
| dc.contributor.author | Chakraborty, Souvik | |
| dc.date.accessioned | 2026-08-20T10:51:07Z | |
| dc.date.available | 2026-08-20T10:51:07Z | |
| dc.date.copyright | 2025/12/13 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JENMDT.EMENG-8613.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311350 | |
| dc.description.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 ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Mixture Density Nonlinear Manifold Decoder for Emulating Stochastic Simulators and One-Shot Uncertainty Propagation | |
| dc.type | Journal Article | |
| dc.journal.volume | 152 | |
| dc.journal.issue | 2 | |
| dc.journal.title | Journal of Engineering Mechanics | |
| dc.identifier.doi | 10.1061/JENMDT.EMENG-8613 | |
| dc.journal.fristpage | 04025101-1 | |
| dc.journal.lastpage | 04025101-17 | |
| dc.page | 17 | |
| dc.tree | Journal of Engineering Mechanics:;2026:;Volume ( 152 ):;issue: 002 | |
| dc.contenttype | Fulltext | |
