work in process
Model-based RL via linearized HJ with Yeoneung Kim
Cho, N. K. Policy optimization in Reinforcement Learning for column generation (preprint)
Weather forecast models
Namkyeong Cho, Junseung Ryu, Youngwook Bin, Hyung Ju Hwang, Reconstruction-based Wafer Anomaly Detection in Semiconductor Manufacturing with Point Transformers (preprint)
submitted/preprints
Representation of the solution of fractional Schrödinger equations with a shallow neural network, with Junseung Ryu, Hyung Ju Hwang (submitted)
Representing the Parabolic equation with the shallow neural network, with Hyung Ju Hwang (submitted)
Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang, MBNO : Mamba-Based Neural Operators for Solving Partial Differential Equations (submitted)
Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang, A Neural Operator Unifying Graph Neural Networks and Point-Transformer (submitted)
Namkyeong Cho, Lp resolvent estimates for the Stokes operator on non-smooth domains with conormal derivative boundary conditions (submitted)
Namkyeong Cho, Yeoneung Kim, On the stability of Lipschitz continuous control problems and its application to reinforcement learning (submitted) Arxiv
Namkyeong Cho, Junseung Ryu, Hyung Ju Hwang. Sobolev Training for Operator Learning (submitted) Arxiv
published papers
Jaesun Shin, EUNJOO JEON, Taewon Cho, Namkyeong Cho, and Youngjune Gwon. Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning (Journal of Machine Learning Research, 2024, journal)
Namkyeong Cho, Taewon Cho, Jaesun Shin, EUNJOO JEON, Taehee Lee. Universal Embedding for Pre-trained Models and Data Bench (Neurocomputing, 2025, journal)
Cho, N. K. Global gradient estimates for shear thinning-type Stokes system on the non-smooth domains (to appear in EJDE)
Cho, N. K. Second order regularity for the p(x)-Laplace equations with L2 data on the right-hand side (Nonlinear Analysis, 2023) journal
Byun. S. S., & Cho, N. K. Higher differentiability for solutions of a general class of nonlinear elliptic obstacle problems with Orlicz growth (NoDea, 2022) , journal
Cho, N. K. Global regularity of shear thickening Stokes system with Dirichlet boundary condition (Journal of Mathematical Fluid Mechanics, 2022) , journal
Byun, S. S., Cho, N. K, & Youn, Y. H. Existence and regularity result for measure data problems with general growth. (Calculus of Variation, 2021), journal
Byun, S. S., Cho, N. K, & Youn, Y. H. Calder ́on-Zygmund estimates for a class of double phase problems with measure data (Journal of Mathematical Analysis and Applications, 2021), journal
Byun, S. S., Cho, N. K. & Lee, H. S Maximal differentiability for a general class of quasilinear elliptic equations with right-hand side measures (International Mathematics Research Notices, 2021) , journal
Byun, S. S., Cho, N. K. & Song, K Optimal fractional differentiability for non-linear parabolic measure data problems (Applied Mathematics Letters, 2021), journal