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cs.AI2026
CINDI: Conditional Imputation and Noisy Data Integrity with Flows in Power Grid Data
David Baumgartner, Helge Langseth, Heri Ramampiaro
Real-world multivariate time series, particularly in critical infrastructure such as electrical power grids, are often corrupted by noise and anomalies that degrade the performance…
cs.LG2026
Temporal-Conditioned Normalizing Flows for Multivariate Time Series Anomaly Detection
David Baumgartner, Helge Langseth, Kenth Engø-Monsen +1
This paper introduces temporal-conditioned normalizing flows (tcNF), a novel framework that addresses anomaly detection in time series data with accurate modeling of temporal depen…