SwitchPFN: Shared Switching Dynamics for Frozen In-Context Time Series Classification
This work proposes SwitchPFN, which learns a shared projection and regime codebook from the training sequences, making local dynamic operators and transition features directly comparable across samples, and achieves the highest mean accuracy among the evaluated methods.
Zhen-Yi Zhu, Jacqueline Pang, Pei-Lin Shen et al.
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