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

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

The Physics of Fluids (Phys. Fluids), 2020
19 July 2020
K. Gundersen
A. Oleynik
N. Blaser
G. Alendal
    BDL
ArXiv (abs)PDFHTML

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

10 / 10 papers shown
Comparison of Generative Learning Methods for Turbulence Surrogates
Comparison of Generative Learning Methods for Turbulence Surrogates
Claudia Drygala
Edmund Ross
F. Mare
Hanno Gottschalk
Francesca di Mare
Hanno Gottschalk
AI4CE
436
5
0
25 Nov 2024
SetPINNs: Set-based Physics-informed Neural Networks
SetPINNs: Set-based Physics-informed Neural Networks
Mayank Nagda
Phil Ostheimer
Thomas Specht
Frank Rhein
Fabian Jirasek
Stephan Mandt
Marius Kloft
Sophie Fellenz
PINN3DPC
724
2
0
30 Sep 2024
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural NetworksAnnals of Nuclear Energy (Ann. Nucl. Energy), 2024
Farah Alsafadi
Aidan Furlong
Xu Wu
UQCVAI4CE
299
11
0
09 Sep 2024
VENI, VINDy, VICI: a generative reduced-order modeling framework with uncertainty quantification
VENI, VINDy, VICI: a generative reduced-order modeling framework with uncertainty quantification
Paolo Conti
Jonas Kneifl
Andrea Manzoni
A. Frangi
Jörg Fehr
Steven L. Brunton
J. Nathan Kutz
420
10
0
31 May 2024
Generative Adversarial Reduced Order Modelling
Generative Adversarial Reduced Order ModellingScientific Reports (Sci Rep), 2023
Dario Coscia
N. Demo
G. Rozza
GANAI4CE
430
11
0
25 May 2023
Ensemble flow reconstruction in the atmospheric boundary layer from
  spatially limited measurements through latent diffusion models
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion modelsThe Physics of Fluids (Phys. Fluids), 2023
A. Rybchuk
M. Hassanaly
N. Hamilton
P. Doubrawa
Mitchell J. Fulton
L. Martínez‐Tossas
AI4CEDiffM
255
22
0
01 Mar 2023
Super-resolution GANs of randomly-seeded fields
Super-resolution GANs of randomly-seeded fields
A. Güemes
C. S. Vila
S. Discetti
150
11
0
23 Feb 2022
Deep learning fluid flow reconstruction around arbitrary two-dimensional
  objects from sparse sensors using conformal mappings
Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappingsAIP Advances (AIP Adv.), 2022
Ali Girayhan Ozbay
S. Laizet
AI4CE
175
18
0
08 Feb 2022
Image features of a splashing drop on a solid surface extracted using a
  feedforward neural network
Image features of a splashing drop on a solid surface extracted using a feedforward neural networkThe Physics of Fluids (Phys. Fluids), 2022
Jingzu Yee
A. Yamanaka
Yoshiyuki Tagawa(田川義之)
132
14
0
24 Jan 2022
A Variational Auto-Encoder for Reservoir Monitoring
A Variational Auto-Encoder for Reservoir Monitoring
K. Gundersen
S. Hosseini
A. Oleynik
G. Alendal
124
1
0
23 Sep 2020
1
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