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Autoencoders for Real-Time SUEP Detection
A deep convolutional neural autoencoder network has been trained using QCD events by taking transverse energy deposits in the inner tracker, electromagnetic calorimeter, and hadron calorimeter sub-detectors as 3-channel image data.
Triggering Dark Showers with Conditional Dual Auto-Encoders
We present a search formulated as an anomaly detection (AD) problem, using an AE to define a criterion to decide about the physics nature of an event.
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