Published on February 4, 2026, the article presents EB-JEPA, an open-source library for learning representations and world models with architectures that predict in representation space rather than pixel space.
Published on February 4, 2026, the article presents EB-JEPA, an open-source library with modular implementations for learning representations and world models using JEPAs. In these architectures, predictions take place in representation space rather than pixel space.
The material notes that engineers can explore these implementations for downstream tasks. To assess the claims, consult the original article and examine the library and its documentation. If you use AI to study or apply the material, avoid sending internal code or data without authorization and follow your organization’s policy for personal information.