TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data

Ege Onur Taga, M. Emrullah Ildiz, Samet Oymak

The diversity of time series applications and scarcity of domain-specific data highlight the need for time-series models with strong few-shot learning capabilities. In this work, w…