mlsanityData to 7 Oct 2026

Jet Flavour Classification Using DeepJet

arXiv 2008.10519 ↗First posted 24 Aug 2020hep-ex physics.data-an stat.MLcited by 16

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Abstract (arXiv)

Jet flavour classification is of paramount importance for a broad range of applications in modern-day high-energy-physics experiments, particularly at the LHC. In this paper we propose a novel architecture for this task that exploits modern deep learning techniques. This new model, called DeepJet, overcomes the limitations in input size that affected previous approaches. As a result, the heavy flavour classification performance improves, and the model is extended to also perform quark-gluon tagging.

Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Aug 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 1; 2023: 2; 2024: 3; 2025: 1; 2026: 2.

16 papers.

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  1. 2021A Living Review of Machine Learning for Particle Physicscited by 77
  2. 2021Machine Learning in the Search for New Fundamental Physicscited by 50
  3. 2021MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networkscited by 36
  4. 2021A FAIR and AI-ready Higgs boson decay datasetcited by 14
  5. 2022Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learningcited by 10
  6. 2021Shared Data and Algorithms for Deep Learning in Fundamental Physicscited by 4
  7. 2021Machine Learning in Nuclear Physicscited by 4
  8. 2023PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutionscited by 3
  9. 2023Differentiable Vertex Fitting for Jet Flavour Taggingcited by 3
  10. 2024Jet Discrimination with Quantum Complete Graph Neural Networkcited by 3
  11. 2025MiniFool -- Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networkscited by 2
  12. 2021Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collidercited by 1
4 more
  1. 2024Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A surveycited by 1
  2. 2026Prompting Particle Physics: Tokenized Multi-modal Foundation Models for Combinatorially Many Taskscited by 1
  3. 2024Quantum Rationale-Aware Graph Contrastive Learning for Jet Discriminationcited by 0
  4. 2026B-jet Tagging Using a Hybrid Edge Convolution and Transformer Architecturecited by 0