2 papers
hep-ex2025
Synthetic Data Generation with Lorenzetti for Time Series Anomaly Detection in High-Energy Physics Calorimeters
Laura Boggia, Bogdan Malaescu
Anomaly detection in multivariate time series is crucial to ensure the quality of data coming from a physics experiment. Accurately identifying the moments when unexpected errors o…
cs.LG2025
Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series
Laura Boggia, Rafael Teixeira de Lima, Bogdan Malaescu
Anomaly detection in multivariate time series is an important problem across various fields such as healthcare, financial services, manufacturing or physics detector monitoring. Ac…