GENERATIVE ADVERSARIAL NETWORK FOR PROBABILISTIC FORECAST OF RANDOM DYNAMICAL SYSTEMS
- Kyongmin Yeo
- Zan Li
- et al.
- 2022
- SIAM Journal on Scientific Computing
Paper
Publications
26 results for Kyongmin Yeo
Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network
- Kyongmin Yeo
- DYLAN E.C. GRULLON
- et al.
- 2021
- SIAM Journal on Scientific Computing
PaperStatistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes
- Xiao Liu
- Kyongmin Yeo
- et al.
- 2021
- JASA
PaperData-driven reconstruction of nonlinear dynamics from sparse observation
- Kyongmin Yeo
- 2019
- Journal of Computational Physics
PaperBayesian pollution source identification via an inverse physics model
- Youngdeok Hwang
- Hang J. Kim
- et al.
- 2019
- CSDA
PaperDevelopment of hp-inverse model by using generalized polynomial chaos
- Kyongmin Yeo
- Youngdeok Hwang
- et al.
- 2019
- Comput. Methods Appl. Mech. Eng.
PaperDeep learning algorithm for data-driven simulation of noisy dynamical system
- Kyongmin Yeo
- Igor Melnyk
- 2019
- Journal of Computational Physics
PaperDE-RNN: Forecasting the Probability Density Function of Nonlinear Time Series
- Kyongmin Yeo
- Igor Melnyk
- et al.
- 2018
- ICDM 2018
Conference paperSettling of heavy particles in concentrated suspensions of neutrally buoyant particles under uniform shear
- Amanda A. Howard
- Martin R. Maxey
- et al.
- 2018
- Fluid Dynamics Research
PaperA statistical modeling approach for spatiotemporal degradation data
- Xiao Liu
- Kyongmin Yeo
- et al.
- 2018
- Journal of Quality Technology
Paper