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cs.LG2024
Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features
Aku Kammonen, Lisi Liang, Anamika Pandey +1
We present experimental results highlighting two key differences resulting from the choice of training algorithm for two-layer neural networks. The spectral bias of neural networks…
cs.LG2023
Physics-informed Spectral Learning: the Discrete Helmholtz--Hodge Decomposition
Luis Espath, Pouria Behnoudfar, Raul Tempone
In this work, we further develop the Physics-informed Spectral Learning (PiSL) by Espath et al. \cite{Esp21} based on a discrete projection to solve the discrete Hodge--Helmh…