Namkyeong Cho

12 papers A* 1Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
MBNO: Mamba-based neural operators for solving partial differential equations.
J. Comput. Phys.
Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang
2026 A* conf
Physics-Informed Approach for Exploratory Hamilton-Jacobi-Bellman Equations via Policy Iterations.
AAAI
Yeongjong Kim, Namkyeong Cho, Minseok Kim, Yeoneung Kim
2025 J jnl
A Neural Operator Unifying Graph Neural Networks and Point Transformers.
IEEE Access
Junseung Ryu, Namkyeong Cho, Hyung Ju Hwang
2025 J jnl
Neural Policy Iteration for Stochastic Optimal Control: A Physics-Informed Approach.
CoRR
Yeongjong Kim, Yeoneung Kim, Minseok Kim, Namkyeong Cho
2025 J jnl
Physics-informed approach for exploratory Hamilton-Jacobi-Bellman equations via policy iterations.
CoRR
Yeongjong Kim, Namkyeong Cho, Minseok Kim, Yeoneung Kim
2025 J jnl
Sobolev training for operator learning.
J. Comput. Phys.
Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang
2025 J jnl
Universal embedding for pre-trained models and data bench.
Neurocomputing
Namkyeong Cho, Taewon Cho, Jaesun Shin, Eunjoo Jeon, Taehee Lee
2024 J jnl
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning.
CoRR
Jaesun Shin, Eunjoo Jeon, Taewon Cho, Namkyeong Cho, Youngjune Gwon
2024 J jnl
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning.
J. Mach. Learn. Res.
Jaesun Shin, Eunjoo Jeon, Taewon Cho, Namkyeong Cho, Youngjune Gwon
2024 J jnl
On the stability of Lipschitz continuous control problems and its application to reinforcement learning.
CoRR
Namkyeong Cho, Yeoneung Kim
2024 J jnl
Sobolev Training for Operator Learning.
CoRR
Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang
2021 J jnl
Optimal fractional differentiability for nonlinear parabolic measure data problems.
Appl. Math. Lett.
Sun-Sig Byun, Namkyeong Cho, Kyeong Song