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Bumblebee is a foundation model for particle physics discovery, inspired by BERT.
On the threshold behaviour of heavy top production
V. Fadin and V. Khoze · 1990
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A new method for combining NLO QCD with shower Monte Carlo algorithms
P. Nason · 2004
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Matching NLO QCD computations with parton shower simulations: the powheg
S. Frixione, P. Nason, and C. Oleari · 2007
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A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction
S. Frixione, G. Ridolfi, and P. Nason · 2007
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Top-quark pair production near threshold at lhc
Y. Kiyo, J. H. Kühn, S. Moch, M. Steinhauser, and P. Uwer · 2009
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A general framework for implementing NLO calculations in shower Monte Carlo programs: the powheg
S. Alioli, P. Nason, C. Oleari, and E. Re · 2010
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Bound-state effects on kinematical distributions of top quarks at hadron colliders
Y. Sumino and H. Yokoya · 2010
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Madgraph 5: going beyond
J. Alwall, M. Herquet, F. Maltoni, O. Mattelaer, and T. Stelzer · 2011
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Overview of models for the t t ¯ \mathrm{t\bar{t}} asymmetry
J. A. Aguilar-Saavedra · 2012
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Delphes 3: a modular framework for fast simulation of a generic collider experiment
J. de Favereau, C. Delaere, P. Demin, A. Giammanco, V. Lemaître, A. Mertens, and M. Selvaggi · 2014
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An introduction to pythia 8.2
T. Sjöstrand, S. Ask, J. R. Christiansen, R. Corke, N. Desai, P. Ilten, S. Mrenna, S. Prestel, C. O. Rasmussen, and P. Z. Skands · 2015
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Adam: A method for stochastic optimization, 2017
D. P. Kingma and J. Ba · 2017
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Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin · 2017
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Observation of higgs boson production in association with a top quark pair at the lhc with the atlas detector
ATLAS Collaboration · 2018
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Observation of t t ¯ H \mathrm{t\bar{t}H} production
CMS Collaboration · 2018
Cited alongside, same era.
BERT: pre-training of deep bidirectional transformers for language understanding
J. Devlin, M. Chang, K. Lee, and K. Toutanova · 2018
Cited alongside, same era.
Search for resonant t t ¯ \mathrm{t}\bar{\mathrm{t}} production in proton-proton collisions at s = 13 \sqrt{s}=13 tev
CMS Collaboration · 2019
Cited alongside, same era.
wav2vec: Unsupervised pre-training for speech recognition, 2019
S. Schneider, A. Baevski, R. Collobert, and M. Auli · 2019
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Language models are few-shot learners, 2020
T. B. Brown, B. Mann, N. Ryder, M. Subbiah, J. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. M. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei · 2020
Cited alongside, same era.
Measurement of the t t ¯ \mathrm{t\bar{t}} charge asymmetry in events with highly lorentz-boosted top quarks in pp collisions at s \sqrt{s} = 13 tev
CMS Collaboration · 2023
Later among the works it cites.
Observation of four top quark production in proton-proton collisions at s \sqrt{s} 13 tev
CMS Collaboration · 2023
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Learning the language of qcd jets with transformers
T. Finke, M. Krämer, A. Mück, and J. Tönshoff · 2023
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Llama: Open and efficient foundation language models, 2023
H. Touvron, T. Lavril, G. Izacard, X. Martinet, M.-A. Lachaux, T. Lacroix, B. Rozière, N. Goyal, E. Hambro, F. Azhar, A. Rodriguez, A. Joulin, E. Grave, and G. Lample · 2023
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Toponium hunter’s guide, 2024
J. A. Aguilar-Saavedra · 2024
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Omnijet- α \alpha : The first cross-task foundation model for particle physics, 2024
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Momentum contrast for unsupervised visual representation learning, 2020
K. He, H. Fan, Y. Wu, S. Xie, and R. Girshick · 2020
Cited alongside, same era.
Top quark pair production near threshold: single/double distributions and mass determination
W.-L. Ju, G. Wang, X. Wang, X. Xu, Y. Xu, and L. L. Yang · 2020
Cited alongside, same era.
Exploiting cloze questions for few-shot text classification and natural language inference
T. Schick and H. Schütze · 2020
Cited alongside, same era.
Entanglement and quantum tomography with top quarks at the lhc
Y. Afik and J. R. M. de Nova · 2021
Cited alongside, same era.
Signatures of toponium formation in lhc run 2 data
B. Fuks, K. Hagiwara, K. Ma, and Y.-J. Zheng · 2021
Cited alongside, same era.
Robust speech recognition via large-scale weak supervision, 2022
A. Radford, J. W. Kim, T. Xu, G. Brockman, C. McLeavey, and I. Sutskever · 2022
Cited alongside, same era.
Spanet: Generalized permutationless set assignment for particle physics using symmetry preserving attention
A. Shmakov, M. J. Fenton, T.-W. Ho, S.-C. Hsu, D. Whiteson, and P. Baldi · 2022
Cited alongside, same era.
J. Birk, A. Hallin, and G. Kasieczka · 2024
Closest in time.
Observation of quantum entanglement in top quark pair production in proton-proton collisions at s \sqrt{s} = 13 tev, 2024
CMS Collaboration · 2024
Closest in time.
Masked particle modeling on sets: Towards self-supervised high energy physics foundation models, 2024
T. Golling, L. Heinrich, M. Kagan, S. Klein, M. Leigh, M. Osadchy, and J. A. Raine · 2024
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A language model for particle tracking, 2024
A. Huang, Y. Melkani, P. Calafiura, A. Lazar, D. T. Murnane, M.-T. Pham, and X. Ju · 2024
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Qcd masterclass lectures on jet physics and machine learning, 2024
A. J. Larkoski · 2024
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Vision-mae: A foundation model for medical image segmentation and classification, 2024
Z. Liu, A. Tieu, N. Patel, A. Zhou, G. Soultanidis, Z. A. Fayad, T. Deyer, and X. Mei · 2024
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An empirical study of catastrophic forgetting in large language models during continual fine-tuning, 2024
Y. Luo, Z. Yang, F. Meng, Y. Li, J. Zhou, and Y. Zhang · 2024
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Dinov2: Learning robust visual features without supervision, 2024
M. Oquab, T. Darcet, T. Moutakanni, H. Vo, M. Szafraniec, V. Khalidov, P. Fernandez, D. Haziza, F. Massa, A. El-Nouby, M. Assran, N. Ballas, W. Galuba, R. Howes, P.-Y. Huang, S.-W. Li, I. Misra, M. Rabbat, V. Sharma, G. Synnaeve, H. Xu, H. Jegou, J. Mairal, P. Labatut, A. Joulin, and P. Bojanowski · 2024
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