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Issue DateTitleAuthor(s)TypeМp-cat.
2026HGQ: High Granularity Quantization for Real-time Neural Networks on FPGAsSun, Chang; Que, Zhiqiang; Arrestad, Thea; Loncar, Vladimir; Ngadiuba, Jennifer; Luk, Wayne; Spiropulu, MariaConference Paper
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2026It's not a FAD: first demonstration of flows for unsupervised anomaly detection at 40 MHz for use at the Large Hadron ColliderVaselli, Francesco; Sun, Chang; Aarrestad, Thea; Danopoulos, Dimitrios; Oskari, Niemi Roope; Mikolaj, Glowacki Maciej; Govorkova, Katya; Loncar, Vladimir; Pantaleo, Felice; Pierini, MaurizioArticle
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