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Author

Chang Sun

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Preprint Sep 2026

Knowledge Distillation of a Normalising Flow for Real-Time Anomaly Detection at LHC Level-1 Trigger

We present a new strategy for unsupervised anomaly detection at the hardware-based first stage of event processing (Level-1 trigger) of the Large Hadron Collider (LHC). A normalising flow trained exclusively on Standard Model (SM) events provides a teacher anomaly score based on its exact negative log-likelihood, which...

J. Abson, F. Canelli, Valentina Guglielmi et al. · 0 citations
Conference Open access Aug 2026

FQTree: Fine-Grained Quantization and Hardware Generation of Boosted Decision Trees

This work presents the FQTree algorithm for fine-grained quantization-aware training of BDTs, together with the QXGB framework for automatic hardware generation, and applies this quantization during boosting so that later trees adapt to the errors of the already-quantized ensemble.

Zhi-Qiang Que, Chang Sun, Haiyan Wang et al. · 0 citations

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