Yeoneung Kim

25 papers A* 2Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Physics-Informed, Global-in-Time Neural Particle Method for the Spatially Homogeneous Landau Equation.
CoRR
Minseok Kim, Sung-Jun Son, Yeoneung Kim, Donghyun Lee
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 diffusion-based generative model for financial time series via geometric Brownian motion.
CoRR
Gihun Kim, Sun-Yong Choi, Yeoneung Kim
2025 J jnl
Acceleration of grokking in learning arithmetic operations via Kolmogorov-Arnold representation.
Neurocomputing
Yeachan Park, Minseok Kim, Yeoneung Kim
2025 — conf
Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ Regret.
L4DC
Yeoneung Kim, Gihun Kim, Jiwhan Park, Insoon Yang
2025 J jnl
Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences.
CoRR
Euihyun Kim, Keun Park, Yeoneung Kim
2025 J jnl
Deep reinforcement learning for optimal design of compliant mechanisms based on digitized cell structures.
Eng. Appl. Artif. Intell.
Yejun Choi, Yeoneung Kim, Keun Park
2025 J jnl
Hamilton-Jacobi based policy-iteration via deep operator learning.
Neurocomputing
Jae Yong Lee, Yeoneung Kim
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 Neural Networks for Optimal Vaccination Plan in SIR Epidemic Models.
CoRR
Minseok Kim, Yeongjong Kim, Yeoneung Kim
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
Solving nonconvex Hamilton-Jacobi-Isaacs equations with PINN-based policy iteration.
CoRR
Hee Jun Yang, Minjung Gim, Yeoneung Kim
2024 J jnl
Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representation.
CoRR
Yeachan Park, Minseok Kim, Yeoneung Kim
2024 J jnl
Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret.
CoRR
Yeoneung Kim, Gihun Kim, Insoon Yang
2024 J jnl
Deep Reinforcement Learning for the Design of Metamaterial Mechanisms with Functional Compliance Control.
CoRR
Yejun Choi, Yeoneung Kim, Keun Park
2024 J jnl
Hamilton-Jacobi Based Policy-Iteration via Deep Operator Learning.
CoRR
Jae Yong Lee, Yeoneung Kim
2024 J jnl
On the stability of Lipschitz continuous control problems and its application to reinforcement learning.
CoRR
Namkyeong Cho, Yeoneung Kim
2023 — conf
On Concentration Bounds for Bayesian Identification of Linear Non-Gaussian Systems.
CDC
Yeoneung Kim, Gihun Kim, Insoon Yang
2022 A* conf
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs.
NeurIPS
Yeoneung Kim, Insoon Yang, Kwang-Sung Jun
2022 J jnl
Infusing Model Predictive Control Into Meta-Reinforcement Learning for Mobile Robots in Dynamic Environments.
IEEE Robotics Autom. Lett.
Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang
2022 J jnl
On representation formulas for optimal control: A Lagrangian perspective.
CoRR
Yeoneung Kim, Insoon Yang
2021 J jnl
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs.
CoRR
Yeoneung Kim, Insoon Yang, Kwang-Sung Jun
2021 J jnl
Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments.
CoRR
Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang
2021 J jnl
Training Wasserstein GANs without gradient penalties.
CoRR
Dohyun Kwon, Yeoneung Kim, Guido Montúfar, Insoon Yang
2020 J jnl
State-Constraint Static Hamilton-Jacobi Equations in Nested Domains.
SIAM J. Math. Anal.
Yeoneung Kim, Hung V. Tran, Son N. Tu