PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction

dc.contributor.author	Lu, Junjian
dc.contributor.author	Liu, Siwei
dc.contributor.author	Kobylianskii, Dmitrii
dc.contributor.author	Dreyer, Etienne
dc.contributor.author	Gross, Eilam
dc.contributor.author	Liang, Shangsong
dc.date.accessioned	2025-08-18T13:00:03Z
dc.date.available	2025-08-18T13:00:03Z
dc.date.issued	2024-12
dc.description.status	Peer reviewed	en
dc.format.extent	14
dc.format.extent	1870839
dc.identifier	302524534
dc.identifier	d3ebb05d-31a6-458a-95a5-8ed2b83445eb
dc.identifier	85208225784
dc.identifier.citation	Lu, J, Liu, S, Kobylianskii, D, Dreyer, E, Gross, E & Liang, S 2024, 'PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction', Machine Learning: Science and Technology, vol. 5, no. 4, 045028. https://doi.org/10.1088/2632-2153/ad8060	en
dc.identifier.doi	10.1088/2632-2153/ad8060
dc.identifier.iss	4	en
dc.identifier.other	ORCID: /0000-0002-7326-2883/work/170473335
dc.identifier.uri	https://hdl.handle.net/2164/25872
dc.identifier.vol	5	en
dc.language.iso	eng
dc.relation.ispartof	Machine Learning: Science and Technology	en
dc.subject	graph neural network	en
dc.subject	supervised contrastive learning	en
dc.subject	data augmentation	en
dc.subject	particle reconstruction	en
dc.subject	QC Physics	en
dc.subject	Supplementary Data	en
dc.subject	DAS	en
dc.subject.lcc	QC	en
dc.title	PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction	en
dc.type	Journal article	en

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