
JEPA-Anything: Learning Predictive Models across Different Worlds
JEPA-Anything introduces orthogonal predictive factorization for domain-agnostic world modeling, splitting latent targets into complementary factors with dedicated predictive pathways. Across seven domains, it improves matched dynamics tasks and supports intervention, OOD generalization, and long-horizon forecasting.
Cui, Taoyong, Wang, Zhongyao, Xu, XinyueSep 17, 2026
World ModelsJEPAPredictive Representation LearningSep 17, 2026