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Results 1-15 of 15 (Search time: 0.001 seconds).

Conference

Physics-Informed Machine Learning: Algorithms and Applications

International Mini-symposium on AI CFD, 2023-08-24

CHOI, MINSEOK

Conference

Physics-informed variational inference for stochastic differential equations

International Congress on Industrial and Applied Mathematics, 2023-08-23

Conference

Physics-Informed Neural Networks: Algorithms and Applications in Plasma Simulation

International Fusion and Plasma Conference, 2023-08-21

CHOI, MINSEOK

Conference

Bayesian deep learning for uncertainty quantification in stochastic partial differential equations

International Conference on Spectral and High Order Methods, 2023-08-18

Conference

Recent Advances in Physics-Informed Machine Learning

KSME CAE Division conference, 2023-05-18

CHOI, MINSEOK

Conference

Bayesian deep learning framework for uncertainty quantification in stochastic systems

KMS spring conference, 2023-04-28

Conference

Physics-informed deep generative model based on variational autoencoder for stochastic systems

SIAM conference on mathematics of data science, 2022-09-28

Conference

Tutorial on PINNs

KSIAM 춘계학술대회, 2022-05-28

Conference

Variational inference of the solution of stochastic partial differential equations

KMS Spring meeting, 2022-04-28

Conference

Physics-informed learning for stochastic systems

KSIAM 추계학술대회, 2021-12-04

Conference

Bayesian Neural Networks for Quantifying Uncertainty in Stochastic Partial Differential Equations

KSIAM 추계학술대회, 2021-12-02

Conference

Data-driven methods to quantify high-dimensional correlated uncertainties

high-order methods and its applications, 2019-12-20

CHOI, MINSEOK

Conference

Model Reduction for Stochastic Fluid Flows

International Conference on Computational Mathematics - Advances in Computational PDEs, 2018-10-02

CHOI, MINSEOK

Conference

Time-dependent Karhunen-Loeve type decomposition methods for SPDEs

Kyushu univ-POSTECH-SJTU joint workshop on PDEs and Related Topics, 2018-08-23

CHOI, MINSEOK

Conference

Model Reduction for Stochastic Fluid Flows: Time-Dependent Karhunen-Loeve Type Decomposition Methods

Frontiers in Applied and Computational Mathematics, 2017-06-25

CHOI, MINSEOK

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