Across ten temporal partitions of two datasets, incrementally fine-tuned Time-MoE and Chronos mostly beat their zero-shot baselines and show less plasticity loss than DLinear, PatchTST, and iTransformer, though improvement is not progressive.
Msgnet: Learning multi- scale inter-series correlations for multivariate time series forecasting,
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Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning
Across ten temporal partitions of two datasets, incrementally fine-tuned Time-MoE and Chronos mostly beat their zero-shot baselines and show less plasticity loss than DLinear, PatchTST, and iTransformer, though improvement is not progressive.