Search Results - Javier Duarte

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  1. 1

    Lorentz group equivariant autoencoders by Zichun Hao, Raghav Kansal, Javier Duarte, Nadezda Chernyavskaya

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  2. 2

    Neural architecture codesign for fast physics applications by Jason Weitz, Dmitri Demler, Luke McDermott, Nhan Tran, Javier Duarte

    Published in Machine Learning: Science and Technology (2025-01-01)
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  3. 3

    Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors by Joosep Pata, Eric Wulff, Farouk Mokhtar, David Southwick, Mengke Zhang, Maria Girone, Javier Duarte

    Published in Communications Physics (2024-04-01)
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  4. 4

    Diagnosis and Study of Mechanical Vibrations in Cargo Vehicles Using ISO 2631-1:1997 by Alejandro Medina Santiago, Jorge Antonio Orozco Torres, Carlos Arturo Hernández Gracidas, Salvador Hernández Garduza, Javier Duarte Franco

    Published in Sensors (2023-12-01)
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  5. 5

    Differentiable Earth mover’s distance for data compression at the high-luminosity LHC by Rohan Shenoy, Javier Duarte, Christian Herwig, James Hirschauer, Daniel Noonan, Maurizio Pierini, Nhan Tran, Cristina Mantilla Suarez

    Published in Machine Learning: Science and Technology (2023-01-01)
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  6. 6

    LHC hadronic jet generation using convolutional variational autoencoders with normalizing flows by Breno Orzari, Nadezda Chernyavskaya, Raphael Cobe, Javier Duarte, Jefferson Fialho, Dimitrios Gunopulos, Raghav Kansal, Maurizio Pierini, Thiago Tomei, Mary Touranakou

    Published in Machine Learning: Science and Technology (2023-01-01)
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  7. 7

    Ultrafast jet classification at the HL-LHC by Patrick Odagiu, Zhiqiang Que, Javier Duarte, Johannes Haller, Gregor Kasieczka, Artur Lobanov, Vladimir Loncar, Wayne Luk, Jennifer Ngadiuba, Maurizio Pierini, Philipp Rincke, Arpita Seksaria, Sioni Summers, Andre Sznajder, Alexander Tapper, Thea K Årrestad

    Published in Machine Learning: Science and Technology (2024-01-01)
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  8. 8

    FAIR AI models in high energy physics by Javier Duarte, Haoyang Li, Avik Roy, Ruike Zhu, E A Huerta, Daniel Diaz, Philip Harris, Raghav Kansal, Daniel S Katz, Ishaan H Kavoori, Volodymyr V Kindratenko, Farouk Mokhtar, Mark S Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao

    Published in Machine Learning: Science and Technology (2023-01-01)
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  9. 9

    HHH whitepaper by Hamza Abouabid, Abdesslam Arhrib, Hannah Arnold, Duarte Azevedo, Vuko Brigljevic, Maggie Chen, Daniel Diaz, Javier Duarte, Tristan du Pree, Jaouad El Falaki, Dinko Ferencek, Pedro. M. Ferreira, Benjamin Fuks, Sanmay Ganguly, Osama Karkout, Marina Kolosova, Jacobo Konigsberg, Greg Landsberg, Bingxuan Liu, Brian Moser, Margarete Mühlleitner, Andreas Papaefstathiou, Roman Pasechnik, Tania Robens, Rui Santos, Brian Sheldon, Gregory Soyez, Marko Stamenkovic, Panagiotis Stylianou, Tatjana Susa, Gilberto Tetlalmatzi-Xolocotzi, Georg Weiglein, Giulia Zanderighi, Rui Zhang

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  10. 10

    Applications and Techniques for Fast Machine Learning in Science by Allison McCarn Deiana, Nhan Tran, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belina von Krosigk, Belina von Krosigk, Shen Wang, Thomas K. Warburton

    Published in Frontiers in Big Data (2022-04-01)
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  11. 11

    Corrigendum: Applications and techniques for fast machine learning in science by Allison McCarn Deiana, Nhan Tran, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belina von Krosigk, Belina von Krosigk, Shen Wang, Thomas K. Warburton

    Published in Frontiers in Big Data (2023-10-01)
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