Zhongyi Huang

Fast Convergence of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks

Refinement Methods for Distributed Distribution Estimation under $\ell^p$-Losses

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal

Convergence Analysis of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networks

Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks

Refined Generalization Analysis of the Deep Ritz Method and Physics-Informed Neural Networks

TangentBind: Unlocking the Potential of Emergent Alignment in Multimodal Model

EPINN: Physics-Informed Neural Network with exponential activation functions for solving stiff ODEs

Solving hyperbolic conservation laws with characteristic based neural network