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Machine Learning for Multi-Messenger Probes of New Physics and Cosmology: Review and Perspective.

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Title: Machine Learning for Multi-Messenger Probes of New Physics and Cosmology: Review and Perspective.
Authors: Addazi, Andrea1,2 (AUTHOR), Belotsky, Konstantin2,3 (AUTHOR), Beylin, Vitaly3,4 (AUTHOR), Bikbaev, Timur3,4,5 (AUTHOR), Chen, Deen5,6 (AUTHOR), Fabrocini, Filippo6,7 (AUTHOR), Giagu, Stefano7,8,9 (AUTHOR), Jinklub, Krid6,8,10 (AUTHOR), Kharakhashyan, Artem5,9 (AUTHOR), Khlopov, Maxim4,10 (AUTHOR), Korchagin, Vladimir5,11 (AUTHOR), Krasnov, Maxim3,5,12 (AUTHOR), Mahajan, Atharv11,13 (AUTHOR), Marcianò, Antonino2,12,13,14 (AUTHOR) marciano@fudan.edu.cn, Mayorov, Andrey3,15 (AUTHOR), Morais, Antonio14,15,16 (AUTHOR), Pasechnik, Roman16,17 (AUTHOR), Said, Jackson Levi17,18 (AUTHOR), Sopin, Danila3,5,19 (AUTHOR), Stasenko, Viktor1,3 (AUTHOR)
Source: Symmetry (20738994). Jul2026, Vol. 18 Issue 7, p1116. 47p.
Database: Mathematics Source
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ISSN:20738994
DOI:10.3390/sym18071116