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2026
A Human-Guided Generative Model Based on Diffusion Processes for Topology Optimization
Journal of Computational Design and Engineering
Eui-Hyun Kim, Yeoneung Kim, Keun Park
Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems
Transactions on Machine Learning Research
Xiaolong He, Yeonjong Shin, Xiaolong He, Anthony Gruber, Sohyeon Jung, Kookjin Lee, Youngsoo Choi
Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model
Proceedings of the AAAI Conference on Artificial Intelligence
Hyunwoo Cho, Hyeontae Jo, Hyung Ju Hwang
Physics-Informed Approach for Exploratory Hamilton–Jacobi–Bellman Equations via Policy Iterations
Yeongjong Kim, Namkyeong Cho, Minseok Kim, Yeoneung Kim
Instance-Dependent Fixed-Budget Pure Exploration in Reinforcement Learning
ICLR 2026 Proceedings
Yeongjong Kim, Yeoneung Kim, Kwang-Sung Jun
Representation of the solution of fractional Schrödinger equations with shallow neural network
Journal of Differential Equations
Hyung Ju Hwang, Namkyeong Cho, Junseung Ryu
Guarding points on a terrain by watchtowers
Computational Geometry-Theory and Applications
Byeonguk, Kang, Junhyeok Choi, Jeesun Han, Hee-Kap Ahn
Singular layer physics-informed neural network method for convection-dominated boundary layer problems in two dimensions
Journal of Computational and Applied Mathematics
Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung, Dongseok Lee
