Sheo Yon Jhin

DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation

Jung-Eun Kim, Kookjin Lee, Dong‐Eun Lee et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2021 · 83 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization

Sheo Yon Jhin, Seojin Kim, Noseong Park · 2024 · 20 citations · Full text

EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting

Sheo Yon Jhin, Jaehoon Lee, Minju Jo et al. · Proceedings of the ACM Web Conference 2022 · 2022 · 19 citations

Artificial Intelligence, Forecasting Methodology, Engineering +19

Precursor-of-Anomaly Detection for Irregular Time Series

Sheo Yon Jhin, Jaehoon Lee, Noseong Park · 2023 · 15 citations · Full text

Anomaly Detection, Machine Learning, Engineering +16

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting

Sheo Yon Jhin, Heejoo Shin, Seoyoung Hong et al. · 2021 IEEE International Conference on Data Mining (ICDM) · 2021 · 12 citations

Forecasting Methodology, Dual Ncdes, Engineering +18