SwitchPFN: Shared Switching Dynamics for Frozen In-Context Time Series Classification

arXiv:2609.29814 · cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Accuracy — 14× in this paper · explained in 1 episode
• Transformer — 8× in this paper · explained in 2 episodes
• Foundation Model — 6× in this paper · explained in 3 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Foundation Models — 4× in this paper · explained in 7 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Feature Selection — 2× in this paper · explained in 4 episodes
• In-Context Learning — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes
• University of East Anglia — 1× in this paper

Sources

• TabPFN-3: Technical Report
• TS2TabPFN: Time Series Classification and Extrinsic Regression through Feature Extraction and a Tabular Foundation Model
• RocketPFN: Accurate Time Series Classification via In-Context Learning
• When GNNs Fail: Quantifying and Overcoming Temporal Correlation Volatility in Time Series
• A Primer on the Signature Method in Machine Learning
• The UEA multivariate time series classification archive, 2018

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