Namkyeong Cho

According to our database, Namkyeong Cho authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Policy Iteration for Stationary Discounted Hamilton-Jacobi-Bellman Equations: A Viscosity Approach.

Namkyeong Cho, Yeoneung Kim

CoRR, April, 2026

MBNO: Mamba-based neural operators for solving partial differential equations.

Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang

J. Comput. Phys., 2026

Physics-Informed Approach for Exploratory Hamilton-Jacobi-Bellman Equations via Policy Iterations.

Yeongjong Kim, Namkyeong Cho, Minseok Kim, Yeoneung Kim

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach.

Yeongjong Kim, Yeoneung Kim, Minseok Kim, Namkyeong Cho

CoRR, August, 2025

Sobolev training for operator learning.

Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang

J. Comput. Phys., 2025

Universal embedding for pre-trained models and data bench.

Namkyeong Cho, Taewon Cho, Jaesun Shin, Eunjoo Jeon, Taehee Lee

Neurocomputing, 2025

A Neural Operator Unifying Graph Neural Networks and Point Transformers.

Junseung Ryu, Namkyeong Cho, Hyung Ju Hwang

IEEE Access, 2025

2024

Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning.

Jaesun Shin, Eunjoo Jeon, Taewon Cho, Namkyeong Cho, Youngjune Gwon

J. Mach. Learn. Res., 2024

On the stability of Lipschitz continuous control problems and its application to reinforcement learning.

Namkyeong Cho, Yeoneung Kim

CoRR, 2024

2021

Optimal fractional differentiability for nonlinear parabolic measure data problems.

Sun-Sig Byun, Namkyeong Cho, Kyeong Song

Appl. Math. Lett., 2021