Operator-informed initialization for Fourier features physics-informed neural networks
cs.LG
Submitted: 2026-10-02
Updated: 2026-10-02
Code: https://github.com/oogle/jax
Sources
- Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions
- Spectral bias in physics-informed and operator learning: Analysis and mitigation guidelines
- Theory of the Frequency Principle for General Deep Neural Networks
- Frequency Principle in Deep Learning Beyond Gradient-descent-based Training
- When PINNs Go Wrong: Pseudo-Time Stepping Against Spurious Solutions
- An Expert's Guide to Training Physics-informed Neural Networks
- Iterative Training of Physics-Informed Neural Networks with Fourier-enhanced Features
- Understanding training and generalization in deep learning by Fourier analysis
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