JEPA (joint embedding predictive architecture) is an architecture that predicts abstract representations of future states rather than reconstructing raw sensory details, eliminating the need to predict unpredictable information by focusing only on predictable, relevant information.

definitionpending

Speaker

Yann LeCun

Evidence Quote

“let's learn an abstract representation of Y and make predictions in that abstract representation space... eliminate all the details about the input video that I simply cannot predict.”

Source

Yann LeCun: Special Lecture on AI and World Models— Al-Khwarizmi Applied Mathematics Webinar
Created: 8/12/2026, 10:03:11 PM

My Notes

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