Tag
Micro-JEPA is a lightweight Python implementation of the Joint Embedding Predictive Architecture (JEPA), enabling an agent to learn environment representations, predict future states in latent space, and plan actions to avoid obstacles.
Proposes CF-JEPA, a mask-free self-supervised learning framework for time-series that uses multi-horizon forward prediction from random crops and exploits asymmetry between online and target encoders for improved performance on classification, forecasting, and anomaly detection.