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BibTeX records: Sergei Gleyzer
@article{DBLP:journals/axioms/ForestanoCDDGJKMMMU24, author = {Roy T. Forestano and Mar{\c{c}}al Comajoan Cara and Gopal Ramesh Dahale and Zhongtian Dong and Sergei Gleyzer and Daniel Justice and Kyoungchul Kong and Tom Magorsch and Konstantin T. Matchev and Katia Matcheva and Eyup B. Unlu}, title = {A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks}, journal = {Axioms}, volume = {13}, number = {3}, pages = {160}, year = {2024}, url = {https://doi.org/10.3390/axioms13030160}, doi = {10.3390/AXIOMS13030160}, timestamp = {Sat, 04 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/axioms/ForestanoCDDGJKMMMU24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/axioms/UnluCDDFGJKMMM24, author = {Eyup B. Unlu and Mar{\c{c}}al Comajoan Cara and Gopal Ramesh Dahale and Zhongtian Dong and Roy T. Forestano and Sergei Gleyzer and Daniel Justice and Kyoungchul Kong and Tom Magorsch and Konstantin T. Matchev and Katia Matcheva}, title = {Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics}, journal = {Axioms}, volume = {13}, number = {3}, pages = {187}, year = {2024}, url = {https://doi.org/10.3390/axioms13030187}, doi = {10.3390/AXIOMS13030187}, timestamp = {Sat, 04 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/axioms/UnluCDDFGJKMMM24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/axioms/DongCDFGJKMMMU24, author = {Zhongtian Dong and Mar{\c{c}}al Comajoan Cara and Gopal Ramesh Dahale and Roy T. Forestano and Sergei Gleyzer and Daniel Justice and Kyoungchul Kong and Tom Magorsch and Konstantin T. Matchev and Katia Matcheva and Eyup B. Unlu}, title = {{\(\mathbb{Z}\)}2 {\texttimes} {\(\mathbb{Z}\)}2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks}, journal = {Axioms}, volume = {13}, number = {3}, pages = {188}, year = {2024}, url = {https://doi.org/10.3390/axioms13030188}, doi = {10.3390/AXIOMS13030188}, timestamp = {Sat, 04 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/axioms/DongCDFGJKMMMU24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/KnipferMVHHG24, author = {Marco Knipfer and Stefan Meier and Tobias Volk and Jonas Heimerl and Peter Hommelhoff and Sergei Gleyzer}, title = {Deep learning-based spatiotemporal multi-event reconstruction for delay line detectors}, journal = {Mach. Learn. Sci. Technol.}, volume = {5}, number = {2}, pages = {25019}, year = {2024}, url = {https://doi.org/10.1088/2632-2153/ad3d2d}, doi = {10.1088/2632-2153/AD3D2D}, timestamp = {Wed, 08 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/KnipferMVHHG24.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2402-00776, author = {Eyup B. Unlu and Mar{\c{c}}al Comajoan Cara and Gopal Ramesh Dahale and Zhongtian Dong and Roy T. Forestano and Sergei Gleyzer and Daniel Justice and Kyoungchul Kong and Tom Magorsch and Konstantin T. Matchev and Katia Matcheva}, title = {Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics}, journal = {CoRR}, volume = {abs/2402.00776}, year = {2024}, url = {https://doi.org/10.48550/arXiv.2402.00776}, doi = {10.48550/ARXIV.2402.00776}, eprinttype = {arXiv}, eprint = {2402.00776}, timestamp = {Wed, 14 Feb 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2402-00776.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/mlst/AlnuqaydanGP23, author = {Abdulhakim Alnuqaydan and Sergei Gleyzer and Harrison Prosper}, title = {{SYMBA:} symbolic computation of squared amplitudes in high energy physics with machine learning}, journal = {Mach. Learn. Sci. Technol.}, volume = {4}, number = {1}, pages = {15007}, year = {2023}, url = {https://doi.org/10.1088/2632-2153/acb2b2}, doi = {10.1088/2632-2153/ACB2B2}, timestamp = {Wed, 17 May 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/mlst/AlnuqaydanGP23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2301-05075, author = {J. P. Terry and C. Hall and Sean Abreau and Sergei Gleyzer}, title = {Kinematic Evidence of an Embedded Protoplanet in {HD} 142666 Identified by Machine Learning}, journal = {CoRR}, volume = {abs/2301.05075}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2301.05075}, doi = {10.48550/ARXIV.2301.05075}, eprinttype = {arXiv}, eprint = {2301.05075}, timestamp = {Thu, 19 Jan 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2301-05075.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2306-09359, author = {Marco Knipfer and Stefan Meier and Jonas Heimerl and Peter Hommelhoff and Sergei Gleyzer}, title = {Deep Learning-Based Spatiotemporal Multi-Event Reconstruction for Delay Line Detectors}, journal = {CoRR}, volume = {abs/2306.09359}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2306.09359}, doi = {10.48550/ARXIV.2306.09359}, eprinttype = {arXiv}, eprint = {2306.09359}, timestamp = {Fri, 23 Jun 2023 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2306-09359.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2311-18672, author = {Roy T. Forestano and Mar{\c{c}}al Comajoan Cara and Gopal Ramesh Dahale and Zhongtian Dong and Sergei Gleyzer and Daniel Justice and Kyoungchul Kong and Tom Magorsch and Konstantin T. Matchev and Katia Matcheva and Eyup B. Unlu}, title = {A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks}, journal = {CoRR}, volume = {abs/2311.18672}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2311.18672}, doi = {10.48550/ARXIV.2311.18672}, eprinttype = {arXiv}, eprint = {2311.18672}, timestamp = {Tue, 07 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2311-18672.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2311-18744, author = {Zhongtian Dong and Mar{\c{c}}al Comajoan Cara and Gopal Ramesh Dahale and Roy T. Forestano and Sergei Gleyzer and Daniel Justice and Kyoungchul Kong and Tom Magorsch and Konstantin T. Matchev and Katia Matcheva and Eyup B. Unlu}, title = {Z\({}_{\mbox{2}}\) {\texttimes} Z\({}_{\mbox{2}}\) Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks}, journal = {CoRR}, volume = {abs/2311.18744}, year = {2023}, url = {https://doi.org/10.48550/arXiv.2311.18744}, doi = {10.48550/ARXIV.2311.18744}, eprinttype = {arXiv}, eprint = {2311.18744}, timestamp = {Tue, 07 May 2024 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2311-18744.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2206-08901, author = {Abdulhakim Alnuqaydan and Sergei Gleyzer and Harrison Prosper}, title = {{SYMBA:} Symbolic Computation of Squared Amplitudes in High Energy Physics with Machine Learning}, journal = {CoRR}, volume = {abs/2206.08901}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2206.08901}, doi = {10.48550/ARXIV.2206.08901}, eprinttype = {arXiv}, eprint = {2206.08901}, timestamp = {Mon, 27 Jun 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2206-08901.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2211-09541, author = {Jason Terry and Cassandra Hall and Sean Abreau and Sergei Gleyzer}, title = {Locating Hidden Exoplanets in {ALMA} Data Using Machine Learning}, journal = {CoRR}, volume = {abs/2211.09541}, year = {2022}, url = {https://doi.org/10.48550/arXiv.2211.09541}, doi = {10.48550/ARXIV.2211.09541}, eprinttype = {arXiv}, eprint = {2211.09541}, timestamp = {Thu, 24 Nov 2022 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2211-09541.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2104-01725, author = {Ali Hariri and Darya Dyachkova and Sergei Gleyzer}, title = {Graph Generative Models for Fast Detector Simulations in High Energy Physics}, journal = {CoRR}, volume = {abs/2104.01725}, year = {2021}, url = {https://arxiv.org/abs/2104.01725}, eprinttype = {arXiv}, eprint = {2104.01725}, timestamp = {Tue, 13 Apr 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2104-01725.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2104-14659, author = {Michael Andrews and Bjorn Burkle and Yi{-}Fan Chen and Davide DiCroce and Sergei Gleyzer and Ulrich Heintz and Meenakshi Narain and Manfred Paulini and Nikolas Pervan and Yusef Shafi and Wei Sun and Kun Yang}, title = {End-to-End Jet Classification of Boosted Top Quarks with the {CMS} Open Data}, journal = {CoRR}, volume = {abs/2104.14659}, year = {2021}, url = {https://arxiv.org/abs/2104.14659}, eprinttype = {arXiv}, eprint = {2104.14659}, timestamp = {Tue, 04 May 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2104-14659.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/csbs/AndrewsPGP20, author = {Michael Andrews and Manfred Paulini and Sergei Gleyzer and Barnab{\'{a}}s P{\'{o}}czos}, title = {End-to-End Physics Event Classification with {CMS} Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the {LHC}}, journal = {Comput. Softw. Big Sci.}, volume = {4}, number = {1}, year = {2020}, url = {https://doi.org/10.1007/s41781-020-00038-8}, doi = {10.1007/S41781-020-00038-8}, timestamp = {Wed, 24 Jan 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/csbs/AndrewsPGP20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1902-08276, author = {Michael Andrews and John Alison and Sitong An and Patrick Bryant and Bjorn Burkle and Sergei Gleyzer and Meenakshi Narain and Manfred Paulini and Barnab{\'{a}}s P{\'{o}}czos and Emanuele Usai}, title = {End-to-End Jet Classification of Quarks and Gluons with the {CMS} Open Data}, journal = {CoRR}, volume = {abs/1902.08276}, year = {2019}, url = {http://arxiv.org/abs/1902.08276}, eprinttype = {arXiv}, eprint = {1902.08276}, timestamp = {Tue, 21 May 2019 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1902-08276.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1807-02876, author = {Kim Albertsson and Piero Altoe and Dustin Anderson and Michael Andrews and Juan Pedro Araque Espinosa and Adam Aurisano and Laurent Basara and Adrian Bevan and Wahid Bhimji and Daniele Bonacorsi and Paolo Calafiura and Mario Campanelli and Louis Capps and Federico Carminati and Stefano Carrazza and Taylor Childers and Elias Coniavitis and Kyle Cranmer and Claire David and Douglas Davis and Javier M. Duarte and Martin Erdmann and Jonas Eschle and Amir Farbin and Matthew Feickert and Nuno Filipe Castro and Conor Fitzpatrick and Michele Floris and Alessandra Forti and Jordi Garra{-}Tico and Jochen Gemmler and Maria Girone and Paul Glaysher and Sergei Gleyzer and Vladimir V. Gligorov and Tobias Golling and Jonas Graw and Lindsey Gray and Dick Greenwood and Thomas Hacker and John Harvey and Benedikt Hegner and Lukas Heinrich and Ben Hooberman and Johannes Junggeburth and Michael Kagan and Meghan Kane and Konstantin Kanishchev and Przemyslaw Karpinski and Zahari Kassabov and Gaurav Kaul and Dorian Kcira and Thomas Keck and Alexei Klimentov and Jim Kowalkowski and Luke Kreczko and Alexander Kurepin and Rob Kutschke and Valentin Kuznetsov and Nicolas K{\"{o}}hler and Igor Lakomov and Kevin Lannon and Mario Lassnig and Antonio Limosani and Gilles Louppe and Aashrita Mangu and Pere Mato and Narain Meenakshi and Helge Meinhard and Dario Menasce and Lorenzo Moneta and Seth Moortgat and Mark S. Neubauer and Harvey B. Newman and Hans Pabst and Michela Paganini and Manfred Paulini and Gabriel N. Perdue and Uzziel Perez and Attilio Picazio and Jim Pivarski and Harrison Prosper and Fernanda Psihas and Alexander Radovic and Ryan Reece and Aurelius Rinkevicius and Eduardo Rodrigues and Jamal Rorie and David Rousseau and Aaron Sauers and Steven Schramm and Ariel Schwartzman and Horst Severini and Paul Seyfert and Filip Siroky and Konstantin Skazytkin and Mike Sokoloff and Graeme Andrew Stewart and Bob Stienen and Ian Stockdale and Giles Chatham Strong and Savannah Thais and Karen Tomko and Eli Upfal and Emanuele Usai and Andrey Ustyuzhanin and Martin Vala and Sofia Vallecorsa and Mauro Verzetti and Xavier Vilas{\'{\i}}s{-}Cardona and Jean{-}Roch Vlimant and Ilija Vukotic and Sean{-}Jiun Wang and Gordon Watts and Michael Williams and Wenjing Wu and Stefan Wunsch and Omar Zapata}, title = {Machine Learning in High Energy Physics Community White Paper}, journal = {CoRR}, volume = {abs/1807.02876}, year = {2018}, url = {http://arxiv.org/abs/1807.02876}, eprinttype = {arXiv}, eprint = {1807.02876}, timestamp = {Fri, 10 Mar 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-1807-02876.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1807-11916, author = {Michael Andrews and Manfred Paulini and Sergei Gleyzer and Barnab{\'{a}}s P{\'{o}}czos}, title = {End-to-End Physics Event Classification with the {CMS} Open Data: Applying Image-based Deep Learning on Detector Data to Directly Classify Collision Events at the {LHC}}, journal = {CoRR}, volume = {abs/1807.11916}, year = {2018}, url = {http://arxiv.org/abs/1807.11916}, eprinttype = {arXiv}, eprint = {1807.11916}, timestamp = {Sat, 23 Jan 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-1807-11916.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/xsede/OjikaAGCG17, author = {Dave Ojika and Darin Acosta and Ann Gordon{-}Ross and Andrew Carnes and Sergei Gleyzer}, editor = {David L. Hart and Maytal Dahan}, title = {Accelerating High-energy Physics Exploration with Deep Learning}, booktitle = {Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, Success and Impact, {PEARC} 2017, New Orleans, LA, USA, July 9-13, 2017}, pages = {37:1--37:4}, publisher = {{ACM}}, year = {2017}, url = {https://doi.org/10.1145/3093338.3093340}, doi = {10.1145/3093338.3093340}, timestamp = {Tue, 06 Nov 2018 11:07:26 +0100}, biburl = {https://dblp.org/rec/conf/xsede/OjikaAGCG17.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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