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News/SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings
arxiv
PublishedMay 27, 2026 at 4:00 AM
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SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings

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arXiv:2605.26900v1 Announce Type: new Abstract: A fundamental open question in self-supervised learning (SSL) is the explicit characterization of the optimal geometry of the learned representations. Recently, LeJEPA identified isotropic Gaussian embeddings as optimal for minimizing downstream predic

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