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Energy landscapes for machine learning.
Phys Chem Chem Phys. 2017 May 24;19(20):12585-12603. doi: 10.1039/c7cp01108c.
Phys Chem Chem Phys. 2017.
PMID: 28367548
Jamming transition as a paradigm to understand the loss landscape of deep neural networks.
Geiger M, Spigler S, d'Ascoli S, Sagun L, Baity-Jesi M, Biroli G, Wyart M.
Geiger M, et al. Among authors: sagun l.
Phys Rev E. 2019 Jul;100(1-1):012115. doi: 10.1103/PhysRevE.100.012115.
Phys Rev E. 2019.
PMID: 31499782
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The United States COVID-19 Forecast Hub dataset.
Cramer EY, Huang Y, Wang Y, Ray EL, Cornell M, Bracher J, Brennen A, Rivadeneira AJC, Gerding A, House K, Jayawardena D, Kanji AH, Khandelwal A, Le K, Mody V, Mody V, Niemi J, Stark A, Shah A, Wattanchit N, Zorn MW, Reich NG; US COVID-19 Forecast Hub Consortium.
Cramer EY, et al.
Sci Data. 2022 Aug 1;9(1):462. doi: 10.1038/s41597-022-01517-w.
Sci Data. 2022.
PMID: 35915104
Free PMC article.
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