26 citations · 49 across the 11 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
stat.ML2023
Energy-Dissipative Evolutionary Deep Operator Neural Networks
Jiahao Zhang, Shiheng Zhang, Jie Shen +1
Energy-Dissipative Evolutionary Deep Operator Neural Network is an operator learning neural network. It is designed to seed numerical solutions for a class of partial differential…
cs.LG2023
NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training
Binghang Lu, Christian B. Moya, Guang Lin
This paper presents NSGA-PINN, a multi-objective optimization framework for effective training of Physics-Informed Neural Networks (PINNs). The proposed framework uses the Non-domi…