Is tokenization needed for masked particle modeling?
Published inMachine learning: science and technology, vol. 6, no. 2, 025075
Publication date2025-06-30
First online date2025-06-27
Abstract
Keywords
- Jet
- Self-supervised learning
- High-energy physics
- Conditional generative models
- Jet physics
Affiliation entities
Funding
- Basic Energy Sciences [DE-AC02-76SF00515]
- Bundesbehörden der Schweizerischen Eidgenossenschaft [Swiss Government Excellence Scholarships for Forei]
- Deutsche Forschungsgemeinschaft [EXC-2094-390783311]
- USA-Israel BSF [2022641]
- Swiss National Science Foundation - At the two upgrade frontiers: machine learning and the ITk Pixel detector [212127]
Citation (ISO format)
LEIGH, Matthew et al. Is tokenization needed for masked particle modeling? In: Machine learning: science and technology, 2025, vol. 6, n° 2, p. 025075. doi: 10.1088/2632-2153/addb98
Main files (1)
Article (Published version)
Identifiers
- PID : unige:192558
- DOI : 10.1088/2632-2153/addb98
Additional URL for this publicationhttps://iopscience.iop.org/article/10.1088/2632-2153/addb98
Journal ISSN2632-2153
