RINO (Renormalization Group DIstillation with NO Labels) is proposed, which exploits the fundamentally multi-scale renormalization group structure of high-energy jet formation as a physically grounded source of SSL views and defines teacher-student representations across energy scales using different levels of hierarch...
Zichun Hao, R. Kansal, A. Gandrakota et al.· 0 citations
A modular pipeline decouples the expressiveness of the anomaly-detection model from real-time hardware constraints, enabling complex architectures to be used for model-agnostic searches for new physics at the full LHC collision rate of 40 MHz.
J. Abson, F. Canelli, Valentina Guglielmi et al.· 0 citations
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.· IEEE International Conferenc...· 0 citations
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