JEPA-Anything: A Domain-Agnostic Framework for Predictive Models Across Vision, Biology and Weather
burny_tech · x · 2026-09-19
- HuggingPapers highlights JEPA-Anything, a domain-agnostic framework for learning predictive world models.
- It uses orthogonal predictive factorization to span radically different domains — vision, biology, weather, and control.
- The paper's core claim: JEPA-style self-supervised predictive modeling can be generalized into a universal cross-domain paradigm.
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