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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 sca
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