LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting

1 code implementation • 16 May 2024 • Stijn Verdenius, Andrea Zerio, Roy L. M. Wang

We leverage the JEPA framework to create a prediction-optimized latent representation of the underlying stochastic process that generates time series and combines it with contextual learning, using a PFN.

In-Context Learning Time Series +1