2 papers
cs.LG2026
HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series
Jonas Petersen, Gian-Alessandro Lombardi, Riccardo Maggioni +3
Critical events in multivariate time series, from turbine failures to cardiac arrhythmias, demand accurate prediction, yet labeled data is scarce because such events are rare and c…
cs.LG2026
FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models
Karim Othman, Jonas Petersen, Matei Ignuta-Ciuncanu +5
We introduce the first universal pretraining corpus for industrial time-series data: FactoryNet. 51M datapoints across 23k end-to-end task executions (13.3k real, 9.8k synthetic) o…