Kejun Tang

1. DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations
   2022/12/28 by Kejun Tang, Xiaoliang Wan, Chao Yang · 23 citations
   Physics and Astronomy · Decision Sciences · Engineering · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Numerical methods in engineering
2. DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations
   2021/12/28 by Kejun Tang, Xiaoliang Wan, Tang, Kejun +3 · 18 citations
   Decision Sciences · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods in engineering #Probabilistic and Robust Engineering Design
3. Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
   2023/05/30 by Kejun Tang, Tang, Kejun, Jiayu Zhai +5 · 7 citations
   Computer Science · Decision Sciences · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Probabilistic and Robust Engineering Design
4. AONN: An adjoint-oriented neural network method for all-at-once solutions of parametric optimal control problems
   2023/02/04 by Pengfei Yin, Yin, Pengfei, Guangqiang Xiao +5 · 2 citations
   Physics and Astronomy · Mathematics · Engineering · #Model Reduction and Neural Networks #Numerical methods for differential equations #Advanced Numerical Methods in Computational Mathematics