World Modeling through Spectral Alignment
How do we tell a world model what information to preserve? We study this question through the lens of spectral representation learning. We introduce SpecWM, a JEPA framework that explicitly specifies desired relationships between observations through a target similarity kernel and trains the encoder to reproduce those...
Holger Molin, William Peng, M. Bagatella et al.
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