IA-JEPA applies interaction-aware masking to JEPA, raising causal reasoning accuracy on CLEVRER from 3.22% to 14.26% while producing a higher-entropy latent space that better aligns with physical energy.
Videomae: Masked autoencoders are data-efficient learners for self-supervised video forecasting
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Entity-Centric World Models: Interaction-Aware Masking for Causal Video Prediction
IA-JEPA applies interaction-aware masking to JEPA, raising causal reasoning accuracy on CLEVRER from 3.22% to 14.26% while producing a higher-entropy latent space that better aligns with physical energy.