Fast jet tagging with MLP-Mixers on FPGAs

We explore the innovative use of MLP-Mixer models for real-time jet tagging and establish their feasibility on resource-constrained hardware like FPGAs. MLP-Mixers excel in processing sequences of jet constituents, achieving state-of-the-art performance on datasets mimicking Large Hadron Collider co...

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Bibliographic Details
Main Authors: Chang Sun, Jennifer Ngadiuba, Maurizio Pierini, Maria Spiropulu
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
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Online Access:https://doi.org/10.1088/2632-2153/adf596
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