Yiqi Gu

Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks

The main aim of this paper is to conduct the convergence analysis of the gradient descent for two-layer physics-informed neural networks (PINNs). Here, the loss function involves derivatives of neural network outputs with respect to its inputs, so the interaction between the trainable parameters is…