Son, Hwijae

1. Enhanced Physics-Informed Neural Networks with Augmented Lagrangian Relaxation Method (AL-PINNs)
   2022/04/29 by Hwijae Son, Son, Hwijae, Sung Woong Cho +3 · 11 citations
   Physics and Astronomy · Mathematics · #Model Reduction and Neural Networks #Numerical methods for differential equations
2. Sobolev Training for Physics Informed Neural Networks
   2021/01/22 by Hwijae Son, Son, Hwijae, Jin Woo Jang +5 · 6 citations
   Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Computational Physics and Python Applications #Nuclear reactor physics and engineering
3. Deep Neural Network Approach to Forward-Inverse Problems
   2019/07/27 by Jo, Hyeontae, Son, Hwijae, Hwang, Hyung Ju +1 · 2 citations
   #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
4. Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems
   2024/12/04 by Sung Woong Cho, Cho, Sung Woong, Hwijae Son +1 · 2 citations
   Computer Science · Mathematics · #65M32 #68T99 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #G.1.10 #G.1.8 #Neural Networks and Applications #Numerical Analysis (math.NA) #Numerical methods in inverse problems
5. ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines
   2025/01/16 by Hwijae Son, Son, Hwijae · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and ELM #Neural Networks and Applications #Numerical Analysis (math.NA)