KITE: A Knowledge-Injected Temporal Encoder for Time-Series Event Forecasting
Forecasting rare, high-cost events in multivariate time-series systems is hard because their precursors are seldom observed, so a purely data-driven model has little to learn from. The engineers who run these systems, however, hold knowledge that precedes such events, information absent from the scarce labels. We call...
Jonas Petersen, Pratik Jawahar, Riccardo Maggioni et al.
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