Lee, Dongeun

9 publications

ICLR 2025 Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-Tuning Anh Tong, Thanh Nguyen-Tang, Dongeun Lee, Duc Nguyen, Toan Tran, David Leo Wright Hall, Cheongwoong Kang, Jaesik Choi

ICLRW 2024 Extension of Physics-Informed Neural Networks to Solving Parameterized PDEs Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park

AAAI 2024 Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations Woojin Cho, Seunghyeon Cho, Hyundong Jin, Jinsung Jeon, Kookjin Lee, Sanghyun Hong, Dongeun Lee, Jonghyun Choi, Noseong Park

ICLR 2024 PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park

ICML 2024 Parameterized Physics-Informed Neural Networks for Parameterized PDEs Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park

NeurIPSW 2023 HyperNetwork Approximating Future Parameters for Time Series Forecasting Under Temporal Drifts Jaehoon Lee, Chan Kim, Gyumin Lee, Haksoo Lim, Jeongwhan Choi, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park

ICML 2021 A Novel Method to Solve Neural Knapsack Problems Duanshun Li, Jing Liu, Dongeun Lee, Ali Seyedmazloom, Giridhar Kaushik, Kookjin Lee, Noseong Park

AAAI 2021 DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park

UAI 2016 Improving Imprecise Compressive Sensing Models Dongeun Lee, Rafael Lima, Jaesik Choi