Hong, Youngjoon

9 publications

ICLR 2025 PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations Namgyu Kang, Jaemin Oh, Youngjoon Hong, Eunbyung Park

NeurIPSW 2024 Can We Pre-Train ICL-Based SFMs for the Zero-Shot Inference of the 1d CDR Problem with Noisy Data? Mingu Kang, Dongseok Lee, Woojin Cho, Kookjin Lee, Anthony Gruber, Nathaniel Trask, Youngjoon Hong, Noseong Park

NeurIPS 2024 Constant Acceleration Flow Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim

AAAI 2023 PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park

NeurIPS 2023 Separable Physics-Informed Neural Networks Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park

NeurIPS 2022 Invertible Monotone Operators for Normalizing Flows Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J Kim

NeurIPSW 2022 PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong, Seok-Bae Yun, Eunbyung Park

NeurIPSW 2022 Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks Junwoo Cho, Seungtae Nam, Hyunmo Yang, Seok-Bae Yun, Youngjoon Hong, Eunbyung Park

ECCV 2020 Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim