Quantum anomaly detection in the latent space of proton collision events at the LHC.
Kinga Anna WozniakVasilis BelisEma PuljakPanagiotis Kl. BarkoutsosGünther DissertoriMichele GrossiMaurizio PieriniFlorentin ReiterIvano TavernelliSofia VallecorsaPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- latent space
- intrusion detection
- gaussian process
- latent variables
- detecting anomalies
- low dimensional
- dimensionality reduction
- parameter space
- normal behavior
- matrix factorization
- anomalous behavior
- gaussian processes
- generative model
- detect anomalies
- lower dimensional
- gaussian process latent variable models
- intrusion detection system
- unsupervised learning
- feature space
- gaussian mixture
- probabilistic latent semantic analysis
- one class support vector machines
- manifold learning
- high dimensional data
- probabilistic model
- high dimensional
- support vector
- data sets