Paper characterizes JEPA feature selection as predictive closure
Unpredictable features can still be encoded when they help predict other features.
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Stories tagged #predictive-models
JEPA-Anything: Learning Predictive Models across Different Worlds
Researchers introduce JEPA-Anything, a domain-agnostic predictive world-modeling framework using orthogonal predictive factorization, validated across seven domains including biology and weather.
JEPA-Anything: Learning Predictive Models across Different Worlds
Researchers present JEPA-Anything, a domain-agnostic world-modeling framework improving prediction across vision, biology, control, molecular dynamics, and weather.