Sung Woong Cho

According to our database, Sung Woong Cho authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Toward a Robust and Generalizable Metamaterial Foundation Model.

Namjung Kim, Dongseok Lee, Jongbin Yu, Sung Woong Cho, Dosung Lee, Yesol Park, Youngjoon Hong

CoRR, July, 2025

Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems.

Sung Woong Cho, Hwijae Son

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Estimating the distribution of parameters in differential equations with repeated cross-sectional data.

Hyeontae Jo, Sung Woong Cho, Hyung Ju Hwang

PLoS Comput. Biol., 2024

Estimation of System Parameters Including Repeated Cross-Sectional Data through Emulator-Informed Deep Generative Model.

Hyunwoo Cho, Sung Woong Cho, Hyeontae Jo, Hyung Ju Hwang

CoRR, 2024

Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids.

Sung Woong Cho, Jae Yong Lee, Hyung Ju Hwang

CoRR, 2024

2023

Enhanced physics-informed neural networks with Augmented Lagrangian relaxation method (AL-PINNs).

Hwijae Son, Sung Woong Cho, Hyung Ju Hwang

Neurocomputing, 2023

HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork.

Jae Yong Lee, Sung Woong Cho, Hyung Ju Hwang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

AL-PINNs: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks.

Hwijae Son, Sung Woong Cho, Hyung Ju Hwang

CoRR, 2022

2021

Traveling Wave Solutions of Partial Differential Equations Via Neural Networks.

Sung Woong Cho, Hyung Ju Hwang, Hwijae Son

J. Sci. Comput., 2021