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[HTML][HTML] Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations

K Gundersen, A Oleynik, N Blaser, G Alendal - Physics of Fluids, 2021 - pubs.aip.org
We present a new data-driven model to reconstruct nonlinear flow from spatially sparse
observations. The proposed model is a version of a Conditional Variational Auto-Encoder …
被引用次数：32 相关文章

Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations

K Gundersen, A Oleynik, N Blaser, G Alendal - 2021 - bora.uib.no
We present a new data-driven model to reconstruct nonlinear flow from spatially sparse
observations. The proposed model is a version of a Conditional Variational Auto-Encoder …

Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations

K Gundersen, A Oleynik, N Blaser… - Physics of …, 2021 - ui.adsabs.harvard.edu
We present a new data-driven model to reconstruct nonlinear flow from spatially sparse
observations. The proposed model is a version of a Conditional Variational Auto-Encoder …

Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations

K Gundersen, A Oleynik, N Blaser, G Alendal - Physics of Fluids, 2021 - pubs.aip.org
We present a new data-driven model to reconstruct nonlinear flow from spatially sparse
observations. The proposed model is a version of a Conditional Variational Auto-Encoder …

[引用][C] Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations

K Gundersen, A Oleynik, N Blaser, G Alendal - Physics of Fluids, 2021 - cir.nii.ac.jp
Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification
from limited observations | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] …
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[PDF][PDF] Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations

K Gundersen, A Oleynik, N Blaser - 2021 - scholar.archive.org
We present a new data-driven model to reconstruct nonlinear flow from spatially sparse
observations. The proposed model is a version of a Conditional Variational Auto-Encoder …

Semi Conditional Variational Auto-Encoder for Flow Reconstruction and Uncertainty Quantification from Limited Observations

K Gundersen, A Oleynik, N Blaser… - arXiv preprint arXiv …, 2020 - arxiv.org
We present a new data-driven model to reconstruct nonlinear flow from spatially sparse
observations. The model is a version of a conditional variational auto-encoder (CVAE) …