86 citations · 88 across the 7 of their papers we have counts for
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Panda Diplomacy: Foundation Model Pre-training across Particle Imaging Detectors for High Energy and Nuclear Physics
Samuel Young, César Jesús-Valls, Kazuhiro Terao
Foundation models are increasingly being pursued in particle and nuclear physics, but existing approaches remain strongly tied to individual experiments through detector-specific a…
End-to-end Differentiable Calibration and Reconstruction for Optical Particle Detectors
Omar Alterkait, César Jesús-Valls, Ryo Matsumoto +2
Large-scale homogeneous detectors with optical readouts are widely used in particle detection, with Cherenkov and scintillator neutrino detectors as prominent examples. Analyses in…
Panda: Self-distillation of Reusable Sensor-level Representations for High Energy Physics
Samuel Young, Kazuhiro Terao
Liquid argon time projection chambers (LArTPCs) provide dense, high-fidelity 3D measurements of particle interactions and underpin current and future neutrino and rare-event experi…
Particle Trajectory Representation Learning with Masked Point Modeling
Sam Young, Yeon-jae Jwa, Kazuhiro Terao
Effective self-supervised learning (SSL) techniques have been key to unlocking large datasets for representation learning. While many promising methods have been developed using on…