Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Inside-JEPA: From Prediction to Relational Grounding in Latent World Models
Hossein Resani, Javen Qinfeng Shi
Joint-embedding predictive architectures (JEPAs) learn world models in latent space, enabling efficient planning but leaving their states opaque. We introduce Inside-JEPA, which pl…
cs.CV2026
Do-JEPA: From Masking to Intervention in Latent World Models
Hossein Resani, Javen Qinfeng Shi
Latent world models are trained to predict what happens next, so nothing in their objective separates what an action caused from what merely co-occurred with it. Object-masking mod…