A Phase Shift Deep Neural Network for High Frequency Approximation and Wave Problems

23 September 2019

Papers citing "A Phase Shift Deep Neural Network for High Frequency Approximation and Wave Problems"

10 / 10 papers shown

Title
Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems Siavash Khodakarami Vivek Oommen Aniruddha Bora George Karniadakis AI4CE 60 1 0 17 Mar 2025
Approximation of Solution Operators for High-dimensional PDEs Nathan Gaby Xiaojing Ye 16 0 0 18 Jan 2024
Deep Neural-network Prior for Orbit Recovery from Method of Moments Y. Khoo Sounak Paul N. Sharon 16 3 0 28 Apr 2023
Phase-shifted Adversarial Training Yeachan Kim Seongyeon Kim Ihyeok Seo Bonggun Shin AAML OOD 24 0 0 12 Jan 2023
A Dimension-Augmented Physics-Informed Neural Network (DaPINN) with High Level Accuracy and Efficiency Weilong Guan Kai-Ping Yang Yinsheng Chen Zhong Guan PINN AI4CE 18 12 0 19 Oct 2022
On the Activation Function Dependence of the Spectral Bias of Neural Networks Q. Hong Jonathan W. Siegel Qinyan Tan Jinchao Xu 32 22 0 09 Aug 2022
Overview frequency principle/spectral bias in deep learning Z. Xu Yaoyu Zhang Tao Luo FaML 25 65 0 19 Jan 2022
Reproducing Activation Function for Deep Learning Senwei Liang Liyao Lyu Chunmei Wang Haizhao Yang 28 21 0 13 Jan 2021
Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning Fan Chen J. Huang Chunmei Wang Haizhao Yang 15 30 0 15 Dec 2020
Fourier-domain Variational Formulation and Its Well-posedness for Supervised Learning Tao Luo Zheng Ma Zhiwei Wang Zhi-Qin John Xu Yaoyu Zhang OOD 27 4 0 06 Dec 2020