Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks
cs.LG
Submitted: 2026-09-01
Updated: 2026-09-01
Code: https://github.com/JingXiao10/GUA
Terminology
Sources
- An Overview on Machine Learning Methods for Partial Differential Equations: from Physics Informed Neural Networks to Deep Operator Learning
- Adam: A Method for Stochastic Optimization
- Fourier Neural Operator for Parametric Partial Differential Equations
- Decoupled Weight Decay Regularization
- Jacobian Descent for Multi-Objective Optimization
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