001     475689
005     20240107020313.0
024 7 _ |a Butter:2022rso
|2 INSPIRETeX
024 7 _ |a inspire:2052497
|2 inspire
024 7 _ |a arXiv:2203.07460
|2 arXiv
024 7 _ |a 10.3204/PUBDB-2022-01431
|2 datacite_doi
037 _ _ |a PUBDB-2022-01431
041 _ _ |a English
088 _ _ |a DESY-22-043
|2 DESY
088 _ _ |a arXiv:2203.07460
|2 arXiv
100 1 _ |a Butter, Anja
|0 A.Butter.1
|b 0
245 _ _ |a Machine Learning and LHC Event Generation
260 _ _ |c 2022
336 7 _ |a Preprint
|b preprint
|m preprint
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|s 1648546204_7554
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336 7 _ |a WORKING_PAPER
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336 7 _ |a Electronic Article
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336 7 _ |a preprint
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336 7 _ |a ARTICLE
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336 7 _ |a Output Types/Working Paper
|2 DataCite
500 _ _ |a Contribution to Snowmass 2021
520 _ _ |a First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predictions and interpretation. This review illustrates a wide range of applications of modern machine learning to event generation and simulation-based inference, including conceptional developments driven by the specific requirements of particle physics. New ideas and tools developed at the interface of particle physics and machine learning will improve the speed and precision of forward simulations, handle the complexity of collision data, and enhance inference as an inverse simulation problem.
536 _ _ |a 611 - Fundamental Particles and Forces (POF4-611)
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|f POF IV
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588 _ _ |a Dataset connected to INSPIRE
650 _ 7 |a interface
|2 INSPIRE
650 _ 7 |a CERN LHC Coll
|2 INSPIRE
693 _ _ |0 EXP:(DE-MLZ)NOSPEC-20140101
|5 EXP:(DE-MLZ)NOSPEC-20140101
|e No specific instrument
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700 1 _ |a Plehn, Tilman
|0 T.Plehn.1
|b 1
|e Corresponding author
700 1 _ |a Schumann, Steffen
|0 S.Schumann.1
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700 1 _ |a Badger, Simon
|0 S.D.Badger.1
|b 3
700 1 _ |a Caron, Sascha
|0 S.Caron.2
|b 4
700 1 _ |a Cranmer, Kyle
|0 K.S.Cranmer.1
|b 5
700 1 _ |a Di Bello, Francesco Armando
|0 F.A.Di.Bello.1
|b 6
700 1 _ |a Dreyer, Etienne
|0 Etienne.Dreyer.1
|b 7
700 1 _ |a Forte, Stefano
|0 S.Forte.2
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700 1 _ |a Ganguly, Sanmay
|0 S.Ganguly.1
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700 1 _ |a Gonçalves, Dorival
|0 D.Goncalves.Netto.1
|b 10
700 1 _ |a Gross, Eilam
|0 E.Gross.2
|b 11
700 1 _ |a Heimel, Theo
|0 T.Heimel.1
|b 12
700 1 _ |a Heinrich, Gudrun
|0 Gudrun.Heinrich.1
|b 13
700 1 _ |a Heinrich, Lukas
|0 L.Heinrich.1
|b 14
700 1 _ |a Held, Alexander
|0 Alexander.Held.1
|b 15
700 1 _ |a Höche, Stefan
|0 S.Hoeche.1
|b 16
700 1 _ |a Howard, Jessica N.
|0 Jessica.Howard.1
|b 17
700 1 _ |a Ilten, Philip
|0 P.Ilten.1
|b 18
700 1 _ |a Isaacson, Joshua
|0 Joshua.Isaacson.1
|b 19
700 1 _ |a Janßen, Timo
|0 T.Janssen.1
|b 20
700 1 _ |a Jones, Stephen
|0 S.P.Jones.1
|b 21
700 1 _ |a Kado, Marumi
|0 M.Kado.1
|b 22
700 1 _ |a Kagan, Michael
|0 M.Kagan.1
|b 23
700 1 _ |a Kasieczka, Gregor
|0 P:(DE-H253)PIP1081743
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700 1 _ |a Kling, Felix
|0 P:(DE-H253)PIP1097110
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700 1 _ |a Kraml, Sabine
|0 S.Kraml.1
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700 1 _ |a Krause, Claudius
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700 1 _ |a Krauss, Frank
|0 F.Krauss.1
|b 28
700 1 _ |a Kröninger, Kevin
|0 K.Kroeninger.1
|b 29
700 1 _ |a Barman, Rahool Kumar
|0 R.K.Barman.1
|b 30
700 1 _ |a Luchmann, Michel
|0 M.Luchmann.1
|b 31
700 1 _ |a Magerya, Vitaly
|0 P:(DE-H253)PIP1082304
|b 32
700 1 _ |a Maitre, Daniel
|0 D.Maitre.1
|b 33
700 1 _ |a Malaescu, Bogdan
|0 B.Malaescu.1
|b 34
700 1 _ |a Maltoni, Fabio
|0 F.Maltoni.1
|b 35
700 1 _ |a Martini, Till
|0 T.Martini.1
|b 36
700 1 _ |a Mattelaer, Olivier
|0 Olivier.Mattelaer.1
|b 37
700 1 _ |a Nachman, Benjamin
|b 38
700 1 _ |a Pitz, Sebastian
|0 S.Pitz.1
|b 39
700 1 _ |a Rojo, Juan
|0 J.Rojo.1
|b 40
700 1 _ |a Schwartz, Matthew
|0 M.D.Schwartz.1
|b 41
700 1 _ |a Shih, David
|0 D.Shih.1
|b 42
700 1 _ |a Siegert, Frank
|0 P:(DE-H253)PIP1021907
|b 43
700 1 _ |a Stegeman, Roy
|0 R.Stegeman.1
|b 44
700 1 _ |a Stienen, Bob
|0 B.Stienen.1
|b 45
700 1 _ |a Thaler, Jesse
|0 Jesse.Thaler.1
|b 46
700 1 _ |a Verheyen, Rob
|0 R.Verheyen.1
|b 47
700 1 _ |a Whiteson, Daniel
|0 D.Whiteson.1
|b 48
700 1 _ |a Winterhalder, Ramon
|0 R.Winterhalder.1
|b 49
700 1 _ |a Zupan, Jure
|b 50
856 4 _ |u https://bib-pubdb1.desy.de/record/475689/files/HTML-Approval_of_scientific_publication.html
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910 1 _ |a External Institute
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910 1 _ |a Deutsches Elektronen-Synchrotron
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913 1 _ |a DE-HGF
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914 1 _ |y 2022
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