Symbolic Pregression: Discovering Physical Laws from Distorted Video

doi:doi:10.57702/14yb226n

Symbolic Pregression: Discovering Physical Laws from Distorted Video

A method for unsupervised learning of equations of motion for objects in raw and optionally distorted unlabeled video.

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The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Silviu-Marian Udrescu, Max Tegmark (2024). Dataset: Symbolic Pregression: Discovering Physical Laws from Distorted Video. https://doi.org/10.57702/14yb226n

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.1103/PhysRevE.103.043307
Author	Silviu-Marian Udrescu
More Authors	Max Tegmark
Homepage	https://arxiv.org/abs/2006.10782