arXiv AI By Jack Boylan, Chris Hokamp

No Gaussian Required: Contrastive Inverse Dynamics for JEPA World Models

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arXiv:2608. 17542v1 Announce Type: cross Abstract: Joint-Embedding Predictive Architectures (JEPAs) learn world models by predicting future embeddings, but the objective admits a trivial solution of a constant encoder, so every practical system adds an anti-collapse mechanism (LeCun, 2022; Assran et al.

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