Randall Balestriero(@randall_balestr):Introducing H-JEPA: the first end-to-end learned hierarchical world model for long-horizon visual planning! Built atop SIGReg/LeWM, H-JEPA provides a stable training recipe where semantic abstractions naturally emerge across levels... Paper+Code: https://t.co/Ozsn6x6W3i 🧵👇

Randall Balestriero

@randall_balestr

AI Researcher: From theory to practice (and back) Postdoc @MetaAI with @ylecun PhD @RiceUniversity with @rbaraniuk Masters @ENS_Ulm @Paris_Sorbonne

参加 April 2020

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Randall Balestriero@randall_balestr

2026.10.06 14:34

Introducing H-JEPA: the first end-to-end learned hierarchical world model for long-horizon visual planning! Built atop SIGReg/LeWM, H-JEPA provides a stable training recipe where semantic abstractions naturally emerge across levels... Paper+Code: 🧵👇