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Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning
The rapidly-developing intersection of machine learning (ML) with high-energy physics (HEP) presents both opportunities and challenges to our community. Far beyond applications of standard ML tools to HEP problems, genuinely new and potentially revolutionary approaches are being developed by a gener...
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| Lenguaje: | eng |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2827613 |
| _version_ | 1780973931197366272 |
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| author | Shanahan, Phiala Terao, Kazuhiro Whiteson, Daniel Aarts, Gert Adelmann, Andreas Akchurin, N. Alexandru, Andrei Amram, Oz Andreassen, Anders Apresyan, Artur Avestruz, Camille Bartoldus, Rainer Bechtol, Keith Benkendorfer, Kees Benelli, Gabriele Bernius, Catrin Bogatskiy, Alexander Bortolato, Blaz Boyda, Denis Brooijmans, Gustaaf Calafiura, Paolo Calì, Salvatore Canelli, Florencia Chachamis, Grigorios Chekanov, S.V. Chen, Deming Chen, Thomas Y. Ćiprijanović, Aleksandra Collins, Jack H. Connolly, J. Andrew Coughlin, Michael Dai, Biwei Damgov, J. DeZoort, Gage Diaz, Daniel Dillon, Barry M. Dinu, Ioan-Mihail Dong, Zhongtian Donini, Julien Duarte, Javier Dugad, S. Dvorkin, Cora Faroughy, D.A. Feickert, Matthew Feng, Yongbin Fenton, Michael Foreman, Sam De Freitas, Felipe F. Funcke, Lena C, P.g. Gandrakota, Abhijith Ganguly, Sanmay Garrison, Lehman H. Gessner, Spencer Ghosh, Aishik Gonsk, Julia Graham, Matthew Gray, Lindsey Grönroos, S. Hackett, Daniel C. Harris, Philip Hauck, Scott Herwig, Christian Holzman, Burt Hopkins, Walter Hsu, Shih-Chieh Huang, Jin Huang, Yi Jin, Xiao-Yong Kagan, Michael Kah, Alan Kamenik, Jernej F. Kansal, Raghav Karagiorgi, Georgia Kasieczka, Gregor Katsavounidis, Erik Khoda, Elham E. Khosa, Charanjit K. Kipf, Thomas Komiske, Patrick Komm, Matthias Kondor, Risi Kourlitis, Evangelos Krause, Claudius Lamichhane, K. Le Pottier, Luc Lin, Meifeng Lin, Yin Liu, Mia Lu, Nan Lucini, Biagio Martinez, J. Martín-Ramiro, Pablo Matevc, Andrej McCormack, William Patrick Metodiev, Eric Mikuni, Vinicius Miller, David W. Mishra-Sharma, Siddharth Mukherjee, Samadrita Murnane, Daniel Nachman, Benjamin Narayan, Gautham Neubauer, Mark Ngadiuba, Jennifer Norberg, Scarlet Nord, Brian Ochoa, Inês Offermann, Jan T. Park, Sang Eon Pedro, Kevin Peña, Cristían Perloff, Alexx Pettee, Mariel Pierini, Maurizio Quast, T. Rankin, Dylan Ren, Yihui Rieger, Marcel Vlimant, Jean-Roch Roy, Avik Sanz, Veronica Sarda, Nilai Savard, Claire Scheinker, Alexander Uros Seljak Sheldon, Brian Shih, David Shimmin, Chase Smolkovic, Aleks Stein, George Mantilla Suarez, Cristina Szewc, Manuel Thais, Savannah Thaler, Jesse Torbunov, Dmitrii Tran, Nhan Tsan, Steven Udrescu, Silviu-Marian Undleeb, S. Vaslin, Louis Villaescusa-Navarro, Francisco Villar, V.Ashley Viren, Brett Vlimant, Jean-Roch Whitbeck, A. Williams, Daniel Winklehner, Daniel Xie, Si Yang, Tingjun Yu, Haiwang Yunus, Mikaeel |
| author_facet | Shanahan, Phiala Terao, Kazuhiro Whiteson, Daniel Aarts, Gert Adelmann, Andreas Akchurin, N. Alexandru, Andrei Amram, Oz Andreassen, Anders Apresyan, Artur Avestruz, Camille Bartoldus, Rainer Bechtol, Keith Benkendorfer, Kees Benelli, Gabriele Bernius, Catrin Bogatskiy, Alexander Bortolato, Blaz Boyda, Denis Brooijmans, Gustaaf Calafiura, Paolo Calì, Salvatore Canelli, Florencia Chachamis, Grigorios Chekanov, S.V. Chen, Deming Chen, Thomas Y. Ćiprijanović, Aleksandra Collins, Jack H. Connolly, J. Andrew Coughlin, Michael Dai, Biwei Damgov, J. DeZoort, Gage Diaz, Daniel Dillon, Barry M. Dinu, Ioan-Mihail Dong, Zhongtian Donini, Julien Duarte, Javier Dugad, S. Dvorkin, Cora Faroughy, D.A. Feickert, Matthew Feng, Yongbin Fenton, Michael Foreman, Sam De Freitas, Felipe F. Funcke, Lena C, P.g. Gandrakota, Abhijith Ganguly, Sanmay Garrison, Lehman H. Gessner, Spencer Ghosh, Aishik Gonsk, Julia Graham, Matthew Gray, Lindsey Grönroos, S. Hackett, Daniel C. Harris, Philip Hauck, Scott Herwig, Christian Holzman, Burt Hopkins, Walter Hsu, Shih-Chieh Huang, Jin Huang, Yi Jin, Xiao-Yong Kagan, Michael Kah, Alan Kamenik, Jernej F. Kansal, Raghav Karagiorgi, Georgia Kasieczka, Gregor Katsavounidis, Erik Khoda, Elham E. Khosa, Charanjit K. Kipf, Thomas Komiske, Patrick Komm, Matthias Kondor, Risi Kourlitis, Evangelos Krause, Claudius Lamichhane, K. Le Pottier, Luc Lin, Meifeng Lin, Yin Liu, Mia Lu, Nan Lucini, Biagio Martinez, J. Martín-Ramiro, Pablo Matevc, Andrej McCormack, William Patrick Metodiev, Eric Mikuni, Vinicius Miller, David W. Mishra-Sharma, Siddharth Mukherjee, Samadrita Murnane, Daniel Nachman, Benjamin Narayan, Gautham Neubauer, Mark Ngadiuba, Jennifer Norberg, Scarlet Nord, Brian Ochoa, Inês Offermann, Jan T. Park, Sang Eon Pedro, Kevin Peña, Cristían Perloff, Alexx Pettee, Mariel Pierini, Maurizio Quast, T. Rankin, Dylan Ren, Yihui Rieger, Marcel Vlimant, Jean-Roch Roy, Avik Sanz, Veronica Sarda, Nilai Savard, Claire Scheinker, Alexander Uros Seljak Sheldon, Brian Shih, David Shimmin, Chase Smolkovic, Aleks Stein, George Mantilla Suarez, Cristina Szewc, Manuel Thais, Savannah Thaler, Jesse Torbunov, Dmitrii Tran, Nhan Tsan, Steven Udrescu, Silviu-Marian Undleeb, S. Vaslin, Louis Villaescusa-Navarro, Francisco Villar, V.Ashley Viren, Brett Vlimant, Jean-Roch Whitbeck, A. Williams, Daniel Winklehner, Daniel Xie, Si Yang, Tingjun Yu, Haiwang Yunus, Mikaeel |
| author_sort | Shanahan, Phiala |
| collection | CERN |
| description | The rapidly-developing intersection of machine learning (ML) with high-energy physics (HEP) presents both opportunities and challenges to our community. Far beyond applications of standard ML tools to HEP problems, genuinely new and potentially revolutionary approaches are being developed by a generation of talent literate in both fields. There is an urgent need to support the needs of the interdisciplinary community driving these developments, including funding dedicated research at the intersection of the two fields, investing in high-performance computing at universities and tailoring allocation policies to support this work, developing of community tools and standards, and providing education and career paths for young researchers attracted by the intellectual vitality of machine learning for high energy physics. |
| id | cern-2827613 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2022 |
| record_format | invenio |
| spelling | cern-28276132023-10-24T02:38:43Zhttp://cds.cern.ch/record/2827613engShanahan, PhialaTerao, KazuhiroWhiteson, DanielAarts, GertAdelmann, AndreasAkchurin, N.Alexandru, AndreiAmram, OzAndreassen, AndersApresyan, ArturAvestruz, CamilleBartoldus, RainerBechtol, KeithBenkendorfer, KeesBenelli, GabrieleBernius, CatrinBogatskiy, AlexanderBortolato, BlazBoyda, DenisBrooijmans, GustaafCalafiura, PaoloCalì, SalvatoreCanelli, FlorenciaChachamis, GrigoriosChekanov, S.V.Chen, DemingChen, Thomas Y.Ćiprijanović, AleksandraCollins, Jack H.Connolly, J. AndrewCoughlin, MichaelDai, BiweiDamgov, J.DeZoort, GageDiaz, DanielDillon, Barry M.Dinu, Ioan-MihailDong, ZhongtianDonini, JulienDuarte, JavierDugad, S.Dvorkin, CoraFaroughy, D.A.Feickert, MatthewFeng, YongbinFenton, MichaelForeman, SamDe Freitas, Felipe F.Funcke, LenaC, P.g.Gandrakota, AbhijithGanguly, SanmayGarrison, Lehman H.Gessner, SpencerGhosh, AishikGonsk, JuliaGraham, MatthewGray, LindseyGrönroos, S.Hackett, Daniel C.Harris, PhilipHauck, ScottHerwig, ChristianHolzman, BurtHopkins, WalterHsu, Shih-ChiehHuang, JinHuang, YiJin, Xiao-YongKagan, MichaelKah, AlanKamenik, Jernej F.Kansal, RaghavKaragiorgi, GeorgiaKasieczka, GregorKatsavounidis, ErikKhoda, Elham E.Khosa, Charanjit K.Kipf, ThomasKomiske, PatrickKomm, MatthiasKondor, RisiKourlitis, EvangelosKrause, ClaudiusLamichhane, K.Le Pottier, LucLin, MeifengLin, YinLiu, MiaLu, NanLucini, BiagioMartinez, J.Martín-Ramiro, PabloMatevc, AndrejMcCormack, William PatrickMetodiev, EricMikuni, ViniciusMiller, David W.Mishra-Sharma, SiddharthMukherjee, SamadritaMurnane, DanielNachman, BenjaminNarayan, GauthamNeubauer, MarkNgadiuba, JenniferNorberg, ScarletNord, BrianOchoa, InêsOffermann, Jan T.Park, Sang EonPedro, KevinPeña, CristíanPerloff, AlexxPettee, MarielPierini, MaurizioQuast, T.Rankin, DylanRen, YihuiRieger, MarcelVlimant, Jean-RochRoy, AvikSanz, VeronicaSarda, NilaiSavard, ClaireScheinker, AlexanderUrosSeljakSheldon, BrianShih, DavidShimmin, ChaseSmolkovic, AleksStein, GeorgeMantilla Suarez, CristinaSzewc, ManuelThais, SavannahThaler, JesseTorbunov, DmitriiTran, NhanTsan, StevenUdrescu, Silviu-MarianUndleeb, S.Vaslin, LouisVillaescusa-Navarro, FranciscoVillar, V.AshleyViren, BrettVlimant, Jean-RochWhitbeck, A.Williams, DanielWinklehner, DanielXie, SiYang, TingjunYu, HaiwangYunus, MikaeelSnowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learninghep-thParticle Physics - Theoryhep-latParticle Physics - Latticehep-exParticle Physics - Experimentcs.AIComputing and Computersphysics.comp-phOther Fields of PhysicsThe rapidly-developing intersection of machine learning (ML) with high-energy physics (HEP) presents both opportunities and challenges to our community. Far beyond applications of standard ML tools to HEP problems, genuinely new and potentially revolutionary approaches are being developed by a generation of talent literate in both fields. There is an urgent need to support the needs of the interdisciplinary community driving these developments, including funding dedicated research at the intersection of the two fields, investing in high-performance computing at universities and tailoring allocation policies to support this work, developing of community tools and standards, and providing education and career paths for young researchers attracted by the intellectual vitality of machine learning for high energy physics.arXiv:2209.07559FERMILAB-CONF-22-719-ND-PPD-QIS-SCDoai:cds.cern.ch:28276132022-09-15 |
| spellingShingle | hep-th Particle Physics - Theory hep-lat Particle Physics - Lattice hep-ex Particle Physics - Experiment cs.AI Computing and Computers physics.comp-ph Other Fields of Physics Shanahan, Phiala Terao, Kazuhiro Whiteson, Daniel Aarts, Gert Adelmann, Andreas Akchurin, N. Alexandru, Andrei Amram, Oz Andreassen, Anders Apresyan, Artur Avestruz, Camille Bartoldus, Rainer Bechtol, Keith Benkendorfer, Kees Benelli, Gabriele Bernius, Catrin Bogatskiy, Alexander Bortolato, Blaz Boyda, Denis Brooijmans, Gustaaf Calafiura, Paolo Calì, Salvatore Canelli, Florencia Chachamis, Grigorios Chekanov, S.V. Chen, Deming Chen, Thomas Y. Ćiprijanović, Aleksandra Collins, Jack H. Connolly, J. Andrew Coughlin, Michael Dai, Biwei Damgov, J. DeZoort, Gage Diaz, Daniel Dillon, Barry M. Dinu, Ioan-Mihail Dong, Zhongtian Donini, Julien Duarte, Javier Dugad, S. Dvorkin, Cora Faroughy, D.A. Feickert, Matthew Feng, Yongbin Fenton, Michael Foreman, Sam De Freitas, Felipe F. Funcke, Lena C, P.g. Gandrakota, Abhijith Ganguly, Sanmay Garrison, Lehman H. Gessner, Spencer Ghosh, Aishik Gonsk, Julia Graham, Matthew Gray, Lindsey Grönroos, S. Hackett, Daniel C. Harris, Philip Hauck, Scott Herwig, Christian Holzman, Burt Hopkins, Walter Hsu, Shih-Chieh Huang, Jin Huang, Yi Jin, Xiao-Yong Kagan, Michael Kah, Alan Kamenik, Jernej F. Kansal, Raghav Karagiorgi, Georgia Kasieczka, Gregor Katsavounidis, Erik Khoda, Elham E. Khosa, Charanjit K. Kipf, Thomas Komiske, Patrick Komm, Matthias Kondor, Risi Kourlitis, Evangelos Krause, Claudius Lamichhane, K. Le Pottier, Luc Lin, Meifeng Lin, Yin Liu, Mia Lu, Nan Lucini, Biagio Martinez, J. Martín-Ramiro, Pablo Matevc, Andrej McCormack, William Patrick Metodiev, Eric Mikuni, Vinicius Miller, David W. Mishra-Sharma, Siddharth Mukherjee, Samadrita Murnane, Daniel Nachman, Benjamin Narayan, Gautham Neubauer, Mark Ngadiuba, Jennifer Norberg, Scarlet Nord, Brian Ochoa, Inês Offermann, Jan T. Park, Sang Eon Pedro, Kevin Peña, Cristían Perloff, Alexx Pettee, Mariel Pierini, Maurizio Quast, T. Rankin, Dylan Ren, Yihui Rieger, Marcel Vlimant, Jean-Roch Roy, Avik Sanz, Veronica Sarda, Nilai Savard, Claire Scheinker, Alexander Uros Seljak Sheldon, Brian Shih, David Shimmin, Chase Smolkovic, Aleks Stein, George Mantilla Suarez, Cristina Szewc, Manuel Thais, Savannah Thaler, Jesse Torbunov, Dmitrii Tran, Nhan Tsan, Steven Udrescu, Silviu-Marian Undleeb, S. Vaslin, Louis Villaescusa-Navarro, Francisco Villar, V.Ashley Viren, Brett Vlimant, Jean-Roch Whitbeck, A. Williams, Daniel Winklehner, Daniel Xie, Si Yang, Tingjun Yu, Haiwang Yunus, Mikaeel Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning |
| title | Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning |
| title_full | Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning |
| title_fullStr | Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning |
| title_full_unstemmed | Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning |
| title_short | Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning |
| title_sort | snowmass 2021 computational frontier compf03 topical group report: machine learning |
| topic | hep-th Particle Physics - Theory hep-lat Particle Physics - Lattice hep-ex Particle Physics - Experiment cs.AI Computing and Computers physics.comp-ph Other Fields of Physics |
| url | http://cds.cern.ch/record/2827613 |
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