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News/MoP-JEPA: Hard-Assigned Predictor Mixtures for Stochastic JEPA World Models
arxiv
PublishedJuly 14, 2026 at 4:00 AM
—neutral

MoP-JEPA: Hard-Assigned Predictor Mixtures for Stochastic JEPA World Models

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Publisher summary· verbatim

arXiv:2607.05238v2 Announce Type: replace Abstract: JEPA world models commonly predict the next latent state with one regressor. Under stochastic transitions, squared and cosine regression return the conditional mean and its normalized direction, respectively: a single compromise that may match no v

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