Symbolic pregression: Discovering physical laws from distorted video

Bibliographic Details
Main Authors: Udrescu, Silviu-Marian, Tegmark, Max
Other Authors: Massachusetts Institute of Technology. Department of Physics
Format: Article
Language:English
Published: American Physical Society (APS) 2022
Online Access:https://hdl.handle.net/1721.1/142233
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author Udrescu, Silviu-Marian
Tegmark, Max
author2 Massachusetts Institute of Technology. Department of Physics
author_facet Massachusetts Institute of Technology. Department of Physics
Udrescu, Silviu-Marian
Tegmark, Max
author_sort Udrescu, Silviu-Marian
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institution Massachusetts Institute of Technology
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spelling mit-1721.1/1422332023-02-13T18:40:56Z Symbolic pregression: Discovering physical laws from distorted video Udrescu, Silviu-Marian Tegmark, Max Massachusetts Institute of Technology. Department of Physics Center for Brains, Minds, and Machines 2022-05-02T16:44:03Z 2022-05-02T16:44:03Z 2021 2022-05-02T16:38:07Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/142233 Udrescu, Silviu-Marian and Tegmark, Max. 2021. "Symbolic pregression: Discovering physical laws from distorted video." Physical Review E, 103 (4). en 10.1103/PHYSREVE.103.043307 Physical Review E Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Physical Society (APS) APS
spellingShingle Udrescu, Silviu-Marian
Tegmark, Max
Symbolic pregression: Discovering physical laws from distorted video
title Symbolic pregression: Discovering physical laws from distorted video
title_full Symbolic pregression: Discovering physical laws from distorted video
title_fullStr Symbolic pregression: Discovering physical laws from distorted video
title_full_unstemmed Symbolic pregression: Discovering physical laws from distorted video
title_short Symbolic pregression: Discovering physical laws from distorted video
title_sort symbolic pregression discovering physical laws from distorted video
url https://hdl.handle.net/1721.1/142233
work_keys_str_mv AT udrescusilviumarian symbolicpregressiondiscoveringphysicallawsfromdistortedvideo
AT tegmarkmax symbolicpregressiondiscoveringphysicallawsfromdistortedvideo