Search Results - Sascha Caron

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  1. 1

    Mixture-of-Theories training: can we find new physics and anomalies better by mixing physical theories? by Sascha Caron, Roberto Ruiz de Austri, Zhongyi Zhang

    Published in Journal of High Energy Physics (2023-03-01)
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  2. 2

    The current status of fine-tuning in supersymmetry by Melissa van Beekveld, Sascha Caron, Roberto Ruiz de Austri

    Published in Journal of High Energy Physics (2020-01-01)
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  3. 3

    spot: Open Source framework for scientific data repository and interactive visualization by Faruk Diblen, Jisk Attema, Rena Bakhshi, Sascha Caron, Luc Hendriks, Bob Stienen

    Published in SoftwareX (2019-01-01)
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  4. 4

    New energy spectra in neutrino and photon detectors to reveal hidden dark matter signals by Wim Beenakker, Sascha Caron, Jochem Kip, Roberto Ruiz de Austri, Zhongyi Zhang

    Published in Journal of High Energy Physics (2023-11-01)
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  5. 5

    DeepXS: fast approximation of MSSM electroweak cross sections at NLO by Sydney Otten, Krzysztof Rolbiecki, Sascha Caron, Jong-Soo Kim, Roberto Ruiz de Austri, Jamie Tattersall

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  6. 6

    Attention to the strengths of physical interactions: Transformer and graph-based event classification for particle physics experiments by Luc Builtjes, Sascha Caron, Polina Moskvitina, Clara Nellist, Roberto Ruiz de Austri, Rob Verheyen, Zhongyi Zhang

    Published in SciPost Physics (2025-07-01)
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  7. 7

    Trackformers: in search of transformer-based particle tracking for the high-luminosity LHC era by Sascha Caron, Nadezhda Dobreva, Antonio Ferrer Sánchez, José D. Martín-Guerrero, Uraz Odyurt, Roberto Ruiz de Austri Bazan, Zef Wolffs, Yue Zhao

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  8. 8

    Universal anomaly detection at the LHC: transforming optimal classifiers and the DDD method by Sascha Caron, José Enrique García Navarro, María Moreno Llácer, Polina Moskvitina, Mats Rovers, Adrián Rubio Jímenez, Roberto Ruiz de Austri, Zhongyi Zhang

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  9. 9

    Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics by Dominique J. Kösters, Bryan A. Kortman, Irem Boybat, Elena Ferro, Sagar Dolas, Roberto Ruiz de Austri, Johan Kwisthout, Hans Hilgenkamp, Theo Rasing, Heike Riel, Abu Sebastian, Sascha Caron, Johan H. Mentink

    Published in APL Machine Learning (2023-03-01)
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  10. 10

    Large physics models: towards a collaborative approach with large language models and foundation models by Kristian G. Barman, Sascha Caron, Emily Sullivan, Henk W. de Regt, Roberto Ruiz de Austri, Mieke Boon, Michael Färber, Stefan Fröse, Tobias Golling, Luis G. Lopez, Faegheh Hasibi, Lukas Heinrich, Andreas Ipp, Rukshak Kapoor, Gregor Kasieczka, Daniel Kostić, Michael Krämer, Jesus Marco, Sydney Otten, Pawel Pawlowski, Pietro Vischia, Erik Weber, Christoph Weniger

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  11. 11

    Machine learning and LHC event generation by Anja Butter, Tilman Plehn, Steffen Schumann, Simon Badger, Sascha Caron, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Stefano Forte, Sanmay Ganguly, Dorival Gonçalves, Eilam Gross, Theo Heimel, Gudrun Heinrich, Lukas Heinrich, Alexander Held, Stefan Höche, Jessica N. Howard, Philip Ilten, Joshua Isaacson, Timo Janßen, Stephen Jones, Marumi Kado, Michael Kagan, Gregor Kasieczka, Felix Kling, Sabine Kraml, Claudius Krause, Frank Krauss, Kevin Kröninger, Rahool Kumar Barman, Michel Luchmann, Vitaly Magerya, Daniel Maitre, Bogdan Malaescu, Fabio Maltoni, Till Martini, Olivier Mattelaer, Benjamin Nachman, Sebastian Pitz, Juan Rojo, Matthew Schwartz, David Shih, Frank Siegert, Roy Stegeman, Bob Stienen, Jesse Thaler, Rob Verheyen, Daniel Whiteson, Ramon Winterhalder, Jure Zupan

    Published in SciPost Physics (2023-04-01)
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