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Foundation models are multi-dataset and multi-task machine learning methods that once pre-trained can be fine-tuned for a large variety of downstream applications.
Anja Butter, Tilman Plehn, and Ramon Winterhalder, “How to GAN LHC Events,” SciPost Phys. 7
1907
Earlier work this paper cites.
1910
Earlier work this paper cites.
Tom B. Brown et al. , “Language models are few-shot learners,” (2020), arXiv:2005.14165 [cs.CL]
2005
Earlier work this paper cites.
2005
Earlier work this paper cites.
The CMS Collaboration, “The CMS experiment at the CERN LHC,” JINST 3
2008
Earlier work this paper cites.
Matteo Cacciari, Gavin P Salam, and Gregory Soyez, “The anti-kt jet clustering algorithm,” Journal of High Energy Physics 2008
2008
Earlier work this paper cites.
Jesse Thaler and Ken Van Tilburg, “Identifying Boosted Objects with N-subjettiness,” JHEP 03
2011
Earlier work this paper cites.
J. Alwall, R. Frederix, S. Frixione, V. Hirschi, F. Maltoni, O. Mattelaer, H.-S. Shao, T. Stelzer, P. Torrielli, and M. Zaro, “The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations,” Journal of High Energy Physics 2014
2014
Earlier work this paper cites.
J. de Favereau, C. Delaere, P. Demin, A. Giammanco, V. Lemaître, A. Mertens, and M. Selvaggi, “DELPHES 3: a modular framework for fast simulation of a generic collider experiment,” Journal of High Energy Physics 2014
2014
Earlier work this paper cites.
Torbjörn Sjöstrand, Stefan Ask, Jesper R. Christiansen, Richard Corke, Nishita Desai, Philip Ilten, Stephen Mrenna, Stefan Prestel, Christine O. Rasmussen, and Peter Z. Skands, “An introduction to PYTHIA 8.2,” Computer Physics Communications 191
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
Luke de Oliveira, Michela Paganini, and Benjamin Nachman, “Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis,” Computing and Software for Big Science 1
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
Sebastian Macaluso and David Shih, “Pulling out all the tops with computer vision and deep learning,” Journal of High Energy Physics 2018
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever, “Improving language understanding by generative pre-training,” (2018)
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
Patrick T. Komiske, Eric M. Metodiev, and Jesse Thaler, “Energy flow networks: deep sets for particle jets,” Journal of High Energy Physics 2019
2019
Cited alongside, same era.
Adam Paszke et al. , “PyTorch: An Imperative Style, High-Performance Deep Learning Library,” in Advances in Neural Information Processing Systems 32 , edited by H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, and R. Garnett (Curran Associates, Inc., 2019) pp. 8024–8035
2019
Cited alongside, same era.
2023
Later among the works it cites.
Dalila Salamani, Anna Zaborowska, and Witold Pokorski, “MetaHEP: Meta learning for fast shower simulation of high energy physics experiments,” Phys. Lett. B 844
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
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2019
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2021
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2022
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2022
Cited alongside, same era.
Georgia Karagiorgi, Gregor Kasieczka, Scott Kravitz, Benjamin Nachman, and David Shih, “Machine learning in the search for new fundamental physics,” Nature Rev. Phys. 4
2022
Cited alongside, same era.
2022
Cited alongside, same era.
Amber Boehnlein et al. , “HL-LHC Software and Computing Review Panel Report,” (2022)
2022
Cited alongside, same era.
2022
Cited alongside, same era.
Henry Schreiner, Jim Pivarski, and Saransh Chopra, “vector,” (2023)
2023
Later among the works it cites.
2023
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2023
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2023
Later among the works it cites.
2023
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William Falcon and The PyTorch Lightning team, “Pytorch lightning,” (2024)
2024
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