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cs.LG2024
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
Mengxuan Li, Ke Liu, Hongyang Chen +3
Time series anomaly detection aims to identify unusual patterns in data or deviations from systems' expected behavior. The reconstruction-based methods are the mainstream in this t…
hep-ex2024★ 1 cited
Search for Long-lived Particles at Future Lepton Colliders Using Deep Learning Techniques
Yulei Zhang, Cen Mo, Xiang Chen +4
Long-lived particles (LLPs) provide an unambiguous signal for physics beyond the Standard Model (BSM). They have a distinct detector signature, with decay lengths corresponding to…