Kookjin Lee
- Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders
2019/11/15 by Kookjin Lee, Kevin T. Carlberg, Kevin Carlberg · 39 citations
Physics and Astronomy · Engineering · Computer Science · #Model Reduction and Neural Networks #Nuclear reactor physics and engineering #Gaussian Processes and Bayesian Inference
- Model reduction of dynamical systems on nonlinear manifolds using deep\n convolutional autoencoders
2018/12/20 by Kookjin Lee, Lee, Kookjin, Kevin Carlberg +1 · 33 citations
Engineering · Physics and Astronomy · #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Real-time simulation and control systems
- Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling
2021/09/11 by Kookjin Lee, Lee, Kookjin, Nathaniel Trask +3 · 7 citations
Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Control Systems and Identification #Structural Health Monitoring Techniques
- Machine learning structure preserving brackets for forecasting irreversible processes
2021/06/23 by Kookjin Lee, Nathaniel Trask, Lee, Kookjin +3 · 6 citations
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Advanced Thermodynamics and Statistical Mechanics #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Protein Structure and Dynamics
- DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
2020/12/04 by Jungeun Kim, Kookjin Lee, Kim, Jungeun +7 · 5 citations
Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
2023/10/14 by Woojin Cho, Kookjin Lee, Cho, Woojin +5 · 7 citations
Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
- Parameterized Physics-informed Neural Networks for Parameterized PDEs
2024/08/18 by Woojin Cho, Minju Jo, Cho, Woojin +11 · 6 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications
- Climate Modeling with Neural Diffusion Equations
2021/11/11 by JeeHyun Hwang, Jeongwhan Choi, Hwang, Jeehyun +9 · 3 citations
Computer Science · Environmental Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
2023/12/19 by Youn-Yeol Yu, Yu, Youn-Yeol, Jeongwhan Choi +21 · 4 citations
Engineering · #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Robot Manipulation and Learning #Robotic Locomotion and Control #and Science (cs.CE)
- Graph Convolutions Enrich the Self-Attention in Transformers!
2023/12/07 by Jeongwhan Choi, Hyowon Wi, Choi, Jeongwhan +10 · 3 citations
Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Sentiment Analysis and Opinion Mining
- Not All Asians are the Same: A Disaggregated Approach to Identifying Anti-Asian Racism in Social Media
2022/10/20 by Sanyam Lakhanpal, Wu, Fan, Qian Li +9 · 1 citation
Computer Science · Social Sciences · #Hate Speech and Cyberbullying Detection #Social Media and Politics
- Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems
2025/06/10 by Xiaolong He, He, Xiaolong, Yeonjong Shin +8 · 3 citations
Physics and Astronomy · Materials Science · Computer Science · #Model Reduction and Neural Networks #Machine Learning in Materials Science #Generative Adversarial Networks and Image Synthesis
- Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs
2026/07/26 by Cheng Jing, Uvini Balasuriya Mudiyanselage, Abhishek Verma +3
#cs.LG