H-JEPA author: hierarchical benefits confirmed from simulation to real world, per LeCun's long-held thesis
randall_balestr · x · 2026-10-06
A follow-up in the H-JEPA paper thread by Randall Balestriero: the benefits of hierarchy are now clearly showcased across experiments and environments, from simulation to the real world—consistent with what Yann LeCun has argued in his talks. He credits the work to Kevin Ghassami, Basile Terver, Mike Rabbat, and LeCun, and invites people to try the open-source code. A related thread note: training a hierarchical JEPA end-to-end requires preventing dimensional collapse; they use SIGReg to keep latent spaces well-conditioned across all levels without complicated heuristics—stable and easy to debug.
Related event: LeCun Team Releases H-JEPA, an End-to-End Hierarchical World Model(5 posts)→
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