KairosHope proposes a HOPE block with dual-memory (Titans + CMS) and hybrid statistical-deep decision head for TSFM classification, pre-trained via MTSM and InfoNCE on Monash then adapted via LP-FT to UCR, claiming superior results on causal domains.
Fine-tuning can distort pretrained features and underperform out-of-distribution
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KairosHope: A Next-Generation Time-Series Foundation Model for Specialized Classification via Dual-Memory Architecture
KairosHope proposes a HOPE block with dual-memory (Titans + CMS) and hybrid statistical-deep decision head for TSFM classification, pre-trained via MTSM and InfoNCE on Monash then adapted via LP-FT to UCR, claiming superior results on causal domains.