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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24515
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dc.contributor.authorGhosh, S-
dc.contributor.authorBalasubramanian, K-
dc.contributor.authorYang, X-
dc.date.accessioned2022-04-29T10:29:33Z-
dc.date.available2022-04-29T10:29:33Z-
dc.date.issued2022-01-20-
dc.identifier.citationGhosh, S., Balasubramanian, K. and Yang, X. (2022) 'Fractal Gaussian Networks: A Sparse Random Graph Model Based on Gaussian Multiplicative Chaos', IEEE Transactions on Information Theory, 68 (5), pp. 3234 - 3252 (19). doi: 10.1109/TIT.2022.3145197.en_US
dc.identifier.issn0018-9448-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24515-
dc.descriptionThe accepted article, arXiv:2008.03038v2 [stat.ML] (for this version) is available at: https://doi.org/10.48550/arXiv.2008.03038. An earlier version of this paper was presented in part at the 37th International Conference on Machine Learning (ICML) 2020.en_US
dc.description.sponsorship10.13039/501100001459-Ministry of Education, Singapore (MOE) (Grant Number: R-146-000-250-133 and R-146-000-312-114); UC Davis’s Center for Data Science and Artificial Intelligence Research (CeDAR) Innovative Data Science Seed Funding Program 10.13039/100000001-NSF (Grant Number: DMS-2053918); 10.13039/501100001866-Fonds Nationalde la Recherche, Luxembourg (FNR) (Grant Number: MISSILe (R-AGR-3410-12-Z)); Luxembourg and Singapore Universities.en_US
dc.description.urihttps://arxiv.org/abs/2008.03038-
dc.format.extent3234 - 3252 (19)-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.rightsCopyright © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.sourcearXiv:2008.03038v2 [stat.ML] for this version, https://doi.org/10.48550/arXiv.2008.03038-
dc.source.urihttps://arxiv.org/pdf/2008.03038-
dc.subjectGaussian multiplicative chaosen_US
dc.subjectsparse random graphsen_US
dc.subjectgenerative modelen_US
dc.subjectfractal networksen_US
dc.titleFractal Gaussian Networks: A Sparse Random Graph Model Based on Gaussian Multiplicative Chaosen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/TIT.2022.3145197-
dc.relation.isPartOfIEEE Transactions on Information Theory-
pubs.issue5-
pubs.publication-statusPublished-
pubs.volume68-
dc.identifier.eissn1557-9654-
Appears in Collections:Dept of Mathematics Research Papers

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