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Weakly supervised anomaly detection with event-level variables

Liam Brennan ^1,*, Tamas Almos Vami ^1,†, Oz Amram ^2,‡, Sanjana Sekhar ³, Yuta Takahashi ⁴, Louis Moureaux ⁵, Manuel Sommerhalder ⁵, Petar Maksimovic ³, Tianji Cai ^6,7 et al.

Nathaniel Craig ^1,8

¹University of California Santa Barbara, Santa Barbara, California, USA
²Fermilab, Batavia, Illinois, USA
³Johns Hopkins University, Baltimore, Maryland, USA
⁴University of Florida, Gainesville, Florida, USA
⁵University of Hamburg, Hamburg, Germany
⁶School of Physical Science and Engineering, Tongji University, Shanghai, China
⁷State Key Laboratory of Autonomous Intelligent Unmanned Systems, MOE Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai, China
⁸Kavli Institute for Theoretical Physics, Santa Barbara, California, USA

^*Contact author: Liam.Robert.Brennan@cern.ch
^†Contact author: Tamas.Almos.Vami@cern.ch
^‡Contact author: Oz.Amram@cern.ch

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Weakly supervised anomaly detection with event-level variables

Liam Brennan, Tamas Almos Vami, Oz Amram, Sanjana Sekhar, Yuta Takahashi, Louis Moureaux, Manuel Sommerhalder, Petar Maksimovic, Tianji Cai, and Nathaniel Craig

Phys. Rev. D 112 055040 (2025)

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Weakly supervised anomaly detection with event-level variables

Optimal transport event representation for anomaly detection

Sensitivity to new physics phenomena in anomaly detection: A study of untunable hyperparameters

Weakly supervised anomaly detection with event-level variables

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