Zheng Ma

Affiliations:
  • Purdue University, West Lafayette, IN, USA


According to our database1, Zheng Ma authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Laplace-fPINNs: Laplace-based fractional physics-informed neural networks for solving forward and inverse problems of subdiffusion.
CoRR, 2023

2022
On the Exact Computation of Linear Frequency Principle Dynamics and Its Generalization.
SIAM J. Math. Data Sci., 2022

Bayesian Inversion with Neural Operator (BINO) for Modeling Subdiffusion: Forward and Inverse Problems.
CoRR, 2022

2021
Phase Diagram for Two-layer ReLU Neural Networks at Infinite-width Limit.
J. Mach. Learn. Res., 2021

MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs.
CoRR, 2021

An Upper Limit of Decaying Rate with Respect to Frequency in Deep Neural Network.
CoRR, 2021

Linear Frequency Principle Model to Understand the Absence of Overfitting in Neural Networks.
CoRR, 2021

2020
Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning.
CoRR, 2020

A type of generalization error induced by initialization in deep neural networks.
Proceedings of Mathematical and Scientific Machine Learning, 2020

2019
Theory of the Frequency Principle for General Deep Neural Networks.
CoRR, 2019

Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks.
CoRR, 2019

Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks.
CoRR, 2019


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