Concepedia

Physics-Informed Neural Networks (PINNs) for Parameterized PDEs: A Metalearning Approach

Michael Penwarden, Shandian Zhe, Akil Narayan, Robert Kirby

SSRN Electronic Journal · 2021 · 12 citations · 46 references

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46

SciPy 1.0: fundamental algorithms for scientific computing in Python

Nature Methods · 2020 · 37.9K citations · Full text

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A Survey on Transfer Learning

Sinno Jialin Pan, Qiang Yang · IEEE Transactions on Knowledge and Data Engineering · 2009 · 23.2K citations

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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Chelsea Finn, Pieter Abbeel, Sergey Levine · arXiv (Cornell University) · 2017 · 5.8K citations · Full text

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Prototypical Networks for Few-shot Learning

Jake Snell, Kevin Swersky, Richard S. Zemel · arXiv (Cornell University) · 2017 · 5.2K citations · Full text

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