3 papers
physics.flu-dyn2024
Reducing data resolution for better super-resolution: Reconstructing turbulent flows from noisy observation
Kyongmin Yeo, Małgorzata J. Zimoń, Mykhaylo Zayats +1
A super-resolution (SR) method for the reconstruction of Navier-Stokes (NS) flows from noisy observations is presented. In the SR method, first the observation data is averaged ove…
cs.LG2023
An End-to-End Time Series Model for Simultaneous Imputation and Forecast
Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo +4
Time series forecasting using historical data has been an interesting and challenging topic, especially when the data is corrupted by missing values. In many industrial problem, it…
stat.ME2023
Inverse Models for Estimating the Initial Condition of Spatio-Temporal Advection-Diffusion Processes
Xiao Liu, Kyongmin Yeo
Inverse problems involve making inference about unknown parameters of a physical process using observational data. This paper investigates an important class of inverse problems --…