Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation

31 March 2024

Papers citing "Conditional Pseudo-Reversible Normalizing Flow for Surrogate Modeling in Quantifying Uncertainty Propagation"

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Title
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics Junqi Yin Siming Liang Siyan Liu Feng Bao H. Chipilski Dan Lu Guannan Zhang AI4Cl 26 2 0 16 Jul 2024
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,311 0 02 Sep 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,145 0 06 Jun 2015