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

19 July 2020

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

5 / 5 papers shown

Title
SetPINNs: Set-based Physics-informed Neural Networks M. Nagda Phil Ostheimer Thomas Specht Frank Rhein F. Jirasek Stephan Mandt Marius Kloft Sophie Fellenz 3DPC PINN 46 0 0 30 Sep 2024
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks Farah Alsafadi Aidan Furlong Xu Wu UQCV AI4CE 39 3 0 09 Sep 2024
Generative Adversarial Reduced Order Modelling Dario Coscia N. Demo G. Rozza GAN AI4CE 42 5 0 25 May 2023
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models A. Rybchuk M. Hassanaly N. Hamilton P. Doubrawa Mitchell J. Fulton L. Martínez‐Tossas AI4CE DiffM 30 16 0 01 Mar 2023
Image features of a splashing drop on a solid surface extracted using a feedforward neural network Jingzu Yee A. Yamanaka Yoshiyuki Tagawa(田川義之) 19 14 0 24 Jan 2022