Variational Boosting for Physics-Informed Neural Networks

arXiv:2607.23940 · cs.LG · Submitted 2026-07-27 · Read on arXiv

cs.LG

Submitted: 2026-07-27

Updated: 2026-09-28

Terminology

• Physics-Informed Neural Networks (PINNs) — 1× in this paper · explained in 6 episodes

Sources

• Scaling Laws and Pathologies of Single-Layer PINNs: Network Width and PDE Nonlinearity
• Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
• Stiff Transfer Learning for Physics-Informed Neural Networks
• When and why PINNs fail to train: A neural tangent kernel perspective
• Respecting causality is all you need for training physics-informed neural networks
• Controlling Chaos in Van Der Pol Dynamics Using Signal-Encoded Deep Learning

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