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Showing results 1 to 20 of 23
Article
A robust bi-orthogonal/dynamically-orthogonal method using the covariance pseudo-inverse with application to stochastic flow problemsSCIESCOPUS

JOURNAL OF COMPUTATIONAL PHYSICS, vol. 344, page. 303 - 319, 2017-09-01

Conference
Bayesian deep learning for uncertainty quantification in stochastic partial differential equations

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

Article
Bayesian Deep Learning Framework for Uncertainty Quantification in Stochastic Partial Differential EquationsSCIESCOPUS

SIAM Journal on Scientific Computing, vol. 46, no. 1, page. C57 - C76, 2024-02

Conference
Bayesian deep learning framework for uncertainty quantification in stochastic systems

KMS spring conference, 2023-04-28

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

Conference
Enhanced Physics-Informed Neural Networks

Workshop on physics-informed machine learning, 2023-08-04

Conference
Model Reduction for Stochastic Fluid Flows

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

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

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

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

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

Conference
Physics-informed learning for stochastic systems

KSIAM 추계학술대회, 2021-12-04

Conference
Physics-Informed Machine Learning: Algorithms and Applications

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

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

International Fusion and Plasma Conference, 2023-08-21

Conference
Physics-informed variational inference for stochastic differential equations

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

Conference
Recent advances in physics-informed machine learning

Workshop on artificial intelligence for industrial mathematics, 2022-06-21

Conference
Recent Advances in Physics-Informed Machine Learning

KSME CAE Division conference, 2023-05-18

Article
REVISITING DIFFUSION: SELF-SIMILAR SOLUTIONS AND THE t(-1/2) DECAY IN INITIAL AND INITIAL-BOUNDARY VALUE PROBLEMSSCIESCOPUS

QUARTERLY OF APPLIED MATHEMATICS, vol. 75, no. 4, page. 581 - 598, 2017-12

Conference
Solving partial differential equations with many parameters using deep learning

2019 대한수학회 가을연구발표회, 2019-10-26

Conference
Solving partial differential equations with many parameters using deep learning

KAIST-POSTECH Math-AI 워크숍, 2019-07-30

Conference
Solving Stochastic Partial Differential Equations With Machine Learning

유체공학 춘계학술대회, 2021-08-19

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