Hyeontae Jo

15 papers A* 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model.
AAAI
Hyunwoo Cho, Hyeontae Jo, Hyung Ju Hwang
2026 J jnl
Neural Network-Based Parameter Estimation for Nonautonomous Differential Equations with Discontinuous Signals.
SIAM J. Appl. Math.
Hyeontae Jo, Kresimir Josic, Jae Kyoung Kim
2025 J jnl
Learning from Imperfect Data: Robust Inference of Dynamic Systems using Simulation-based Generative Model.
CoRR
Hyunwoo Cho, Hyeontae Jo, Hyung Ju Hwang
2025 J jnl
Neural Network-Based Parameter Estimation for Non-Autonomous Differential Equations with Discontinuous Signals.
CoRR
Hyeontae Jo, Kresimir Josic, Jae Kyoung Kim
2025 J jnl
SymScore: Machine learning accuracy meets transparency in a symbolic regression-based clinical score generator.
Comput. Biol. Medicine
Olive R. Cawiding, Sieun Lee, Hyeontae Jo, Sungmoon Kim, Sooyeon Suh, Eun Yeon Joo, Seockhoon Chung, Jae Kyoung Kim
2024 J jnl
Density physics-informed neural networks reveal sources of cell heterogeneity in signal transduction.
Patterns
Hyeontae Jo, Hyukpyo Hong, Hyung Ju Hwang, Won Chang, Jae Kyoung Kim
2024 J jnl
Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data.
CoRR
Hyeontae Jo, Sung Woong Cho, Hyung Ju Hwang
2024 J jnl
Estimating the distribution of parameters in differential equations with repeated cross-sectional data.
PLoS Comput. Biol.
Hyeontae Jo, Sung Woong Cho, Hyung Ju Hwang
2024 J jnl
Estimation of System Parameters Including Repeated Cross-Sectional Data through Emulator-Informed Deep Generative Model.
CoRR
Hyunwoo Cho, Sung Woong Cho, Hyeontae Jo, Hyung Ju Hwang
2021 J jnl
Development of patients triage algorithm from nationwide COVID-19 registry data based on machine learning.
CoRR
Hyung Ju Hwang, Seyoung Jung, Min Sue Park, Hyeontae Jo
2020 J jnl
Deep neural network approach to forward-inverse problems.
Networks Heterog. Media
Hyeontae Jo, Hwijae Son, Hyung Ju Hwang, Eun Heui Kim
2020 J jnl
Hybrid Model of Mathematical and Neural Network Formulations for Rolling Force and Temperature Prediction in Hot Rolling Processes.
IEEE Access
Rakhoon Hwang, Hyeontae Jo, Kyung Seok Kim, Hyung Ju Hwang
2020 J jnl
Trend to equilibrium for the kinetic Fokker-Planck equation via the neural network approach.
J. Comput. Phys.
Hyung Ju Hwang, Jin Woo Jang, Hyeontae Jo, Jae Yong Lee
2019 J jnl
Deep Neural Network Approach to Forward-Inverse Problems.
CoRR
Hyeontae Jo, Hwijae Son, Hyung Ju Hwang, Eunheui Kim
2019 J jnl
Trend to Equilibrium for the Kinetic Fokker-Planck Equation via the Neural Network Approach.
CoRR
Hyung Ju Hwang, Jin Woo Jang, Hyeontae Jo, Jae Yong Lee