Machine Learning5 min reading time

Beyond Domain-Specific World Models: JEPA-Anything Uses 1 Recipe for 7 Fields

MarkTechPost
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Researchers from PhAI Labs, CUHK, Fudan, Stanford, Oxford, and Princeton introduced JEPA-Anything, a unified framework using Orthogonal Predictive Factorization to build domain-agnostic world models across seven diverse fields, improving predictive performance and stability.

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