KITE: A Knowledge-Injected Temporal Encoder for Time-Series Event Forecasting
cs.LG, cs.AI
Submitted: 2026-10-08
Updated: 2026-10-08
Sources
- HEPA: A Self-Supervised Horizon-Conditioned Event Predictive Architecture for Time Series
- Chronos-2: From Univariate to Universal Forecasting
- FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models
- CITRAS-FM: Tiny Time Series Foundation Model for Covariate-Informed Zero-Shot Forecasting
- LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
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