Zobrazeno 1 - 10
of 158
pro vyhledávání: '"C N, Cheng"'
Publikováno v:
SciPost Physics, Vol 15, Iss 6, p 238 (2023)
We propose a novel machine learning method for sampling from the high-dimensional probability distributions of Lattice Field Theories, which is based on a single neural ODE layer and incorporates the full symmetries of the problem. We test our model
Externí odkaz:
https://doaj.org/article/2d28efe906c445f8aae5e733361a4e0d
Autor:
Miranda C. N. Cheng, John F. R. Duncan, Sarah M. Harrison, Jeffrey A. Harvey, Shamit Kachru, Brandon C. Rayhaun
Publikováno v:
Journal of High Energy Physics, Vol 2018, Iss 7, Pp 1-29 (2018)
Abstract We show that certain BPS counting functions for both fundamental strings and strings arising from fivebranes wrapping divisors in Calabi-Yau threefolds naturally give rise to skew-holomorphic Jacobi forms at rational and attractor points in
Externí odkaz:
https://doaj.org/article/833f653644ac4e4cb6312d532d443e26
Autor:
K.-P. Chung, C.-N. Cheng, Y.-J. Chen, C.-L. Hsu, Y.-L. Huang, M.-S. Hsieh, H.-C. Kuo, P.-H. Chuang, Y.-H. Juan, W.-L. Liu, S.-Y. Ruan, J.-Y. Chien, W.-C. Chou, C.-H. Kuo, C.-J. Yu
Publikováno v:
B108. IMMUNE CELLS TO THE RESCUE IN LUNG INJURY.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7276eaaf23badbf04b7078a1c99f7d1e
https://doi.org/10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a4427
https://doi.org/10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a4427
Akademický článek
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Akademický článek
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Akademický článek
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Publikováno v:
Progress of Theoretical and Experimental Physics, 2021(8):08B102. Oxford University Press
We propose a correspondence between vertex operator superalgebras and families of sigma models in which the two structures are related by symmetry properties and a certain reflection procedure. The existence of such a correspondence is motivated by p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71232f864e8ca222fe49f76693da52ae
https://dare.uva.nl/personal/pure/en/publications/vertex-operator-superalgebrasigma-model-correspondences(508145cd-0a44-42bf-9006-03ed58a80527).html
https://dare.uva.nl/personal/pure/en/publications/vertex-operator-superalgebrasigma-model-correspondences(508145cd-0a44-42bf-9006-03ed58a80527).html
Publikováno v:
Communications in Mathematical Physics, 366(2), 647-680. Springer New York
Communications in Mathematical Physics
Communications in Mathematical Physics
Umbral moonshine connects the symmetry groups of the 23 Niemeier lattices with 23 sets of distinguished mock modular forms. The 23 cases of umbral moonshine have a uniform relation to symmetries of K3 string theories. Moreover, a supersymmetric verte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c343af238aca217d1783f4061a8eee8b
https://doi.org/10.1007/s00220-019-03314-w
https://doi.org/10.1007/s00220-019-03314-w
Publikováno v:
Machine Learning: Science and Technology, 2(4):045026. IOP
We introduce a machine learning model, the q-CNN model, sharing key features with convolutional neural networks and admitting a tensor network description. As examples, we apply q-CNN to the MNIST and Fashion MNIST classification tasks. We explain ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ca570c47ed6e0438e8220e3424ccbb7
Autor:
Miranda C. N. Cheng, John F. R. Duncan
Publikováno v:
Advances in Mathematics, 372:107284. Academic Press Inc.
Advances in Mathematics
Advances in Mathematics
We classify the optimal mock Jacobi forms of weight one with rational coefficients. The space they span is thirty-four-dimensional, and admits a distinguished basis parameterized by genus zero groups of isometries of the hyperbolic plane. We show tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00b8e551bab28b9e9149582a1489e4a8
https://dare.uva.nl/personal/pure/en/publications/optimal-mock-jacobi-theta-functions(ead40e28-680a-4251-a0a2-3a6f5abad1f4).html
https://dare.uva.nl/personal/pure/en/publications/optimal-mock-jacobi-theta-functions(ead40e28-680a-4251-a0a2-3a6f5abad1f4).html