Frequency Principle in Deep Learning with General Loss Functions and Its Potential Application

26 November 2018

Papers citing "Frequency Principle in Deep Learning with General Loss Functions and Its Potential Application"

6 / 6 papers shown

Title
Scaling transformation of the multimode nonlinear Schrödinger equation for physics-informed neural networks I. Chuprov D. Efremenko Jiexing Gao P. Anisimov V. Zemlyakov 29 0 0 29 Sep 2022
Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks Matthew T.C. Li L. Demanet Leonardo Zepeda-Núnez 43 8 0 24 Nov 2020
Theory of the Frequency Principle for General Deep Neural Networks Yaoyu Zhang Zheng Ma Zhi-Qin John Xu Yaoyu Zhang 26 78 0 21 Jun 2019
Explicitizing an Implicit Bias of the Frequency Principle in Two-layer Neural Networks Yaoyu Zhang Zhi-Qin John Xu Yaoyu Zhang Zheng Ma MLT AI4CE 39 38 0 24 May 2019
A type of generalization error induced by initialization in deep neural networks Yaoyu Zhang Zhi-Qin John Xu Yaoyu Zhang Zheng Ma 9 50 0 19 May 2019
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks Zhi-Qin John Xu Yaoyu Zhang Yaoyu Zhang Yan Xiao Zheng Ma 42 505 0 19 Jan 2019