Tag: Meta Learning

2 entries

Adaptive Physics-informed Neural Networks: A Survey

Survey / Reading Material
A focused survey of PINN improvements via transfer learning and meta-learning, addressing PINN's notorious convergence difficulty and the need to re-optimize on every PDE parameter change - the engineering reference for productionizing PINNs.
arXiv preprint (copyright held by authors) PINNTransfer LearningMeta Learning

Machine Learning with Physics Knowledge for Prediction: A Survey

Survey / Reading Material
A systematic survey of physics-knowledge + ML methods for PDE prediction, splitting the field into architectural-level (loss, structured prediction, augmentation) and data-level (multi-task, meta, contextual) approaches, with industrial perspective and open-source ecosystem review.
arXiv preprint (copyright held by authors) Physics-informed MLPDEMulti-task Learning

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