Category: Physics Informed Learning
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On the Possibility of Small Networks for Physics-Informed Learning
On the Possibility of Small Networks for Physics-Informed Learning A new kind of hyperparameter study The post On the Possibility of Small Networks for Physics-Informed Learning appeared first on Towards Data Science. Conor Rowan Go to original source
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What PyTorch Really Means by a Leaf Tensor and Its Grad
What PyTorch Really Means by a Leaf Tensor and Its Grad The secret life of leaves, gradients, and the mighty requires_grad flag The post What PyTorch Really Means by a Leaf Tensor and Its Grad appeared first on Towards Data Science. Maciej J. Mikulski Go to original source
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Essential Review Papers on Physics-Informed Neural Networks: A Curated Guide for Practitioners
Essential Review Papers on Physics-Informed Neural Networks: A Curated Guide for Practitioners Staying on top of a fast-growing research field is never easy. I face this challenge firsthand as a practitioner in Physics-Informed Neural Networks (PINNs). New papers, be they algorithmic advancements or cutting-edge applications, are published at an accelerating pace by both academia and…