Reducing Data Resolution for Better Superresolution: Reconstructing Turbulent Flows from Noisy Observation
- Kyongmin Yeo
- Małgorzata J. Zimoń
- et al.
- 2024
- Physical Review Letters
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Observational benchmarks inform representation of soil organic carbon dynamics in land surface models
- Kamal Nyaupane
- Umakant Mishra
- et al.
- 2024
- Biogeosciences
Cascading Failure Prediction via Causal Inference
- Shiuli Subhra Ghosh
- Anmol Dwivedi
- et al.
- 2024
- IEEE Transactions on Power Systems
Inverse Models for Estimating the Initial Condition of Spatio-Temporal Advection-Diffusion Processes
- Xiao Liu
- Kyongmin Yeo
- 2023
- Technometrics
Optimal Sensor Placement for Atmospheric Inverse Modelling
- Xinchao Liu
- Kyongmin Yeo
- et al.
- 2022
- Big Data 2022
Multi-task Learning for Source Attribution and Field Reconstruction for Methane Monitoring
- Arka Daw
- Kyongmin Yeo
- et al.
- 2022
- Big Data 2022
Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks
- Mykhaylo Zayats
- Malgorzata J. Zimon
- et al.
- 2022
- CDC 2022
GENERATIVE ADVERSARIAL NETWORK FOR PROBABILISTIC FORECAST OF RANDOM DYNAMICAL SYSTEMS
- Kyongmin Yeo
- Zan Li
- et al.
- 2022
- SIAM Journal on Scientific Computing
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
Statistical Modeling for Spatio-Temporal Data From Stochastic Convection-Diffusion Processes
- Xiao Liu
- Kyongmin Yeo
- et al.
- 2021
- JASA