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Randall Balestriero

@randall_balestr • 5,961 subscribers

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

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LeJEPA: a novel pretraining paradigm free of the (many) heuristics we relied on (stop-grad, teacher, ...) - 60+ arch., up to 2B params - 10+ datasets - in-domain training (>DINOv3) - corr(train loss, test perf)=95% Paper: Code:
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LeJEPA: a novel pretraining paradigm free of the (many) heuristics we relied on (stop-grad, teacher, ...) - 60+ arch., up to 2B params - 10+ datasets - in-domain training (>DINOv3) - corr(train loss, test perf)=95% Paper: Code:

Randall Balestriero

504,703 просмотров • 6 месяцев назад

World Modeling research needs fast iteration, reproducibility, optimized baselines, open-source, and precise zero-shot stress testing. Here comes stable-worldmodel! Paper: Code: Come stress-test your model/idea! DINO-WM results ⬇️
0:43
randall_balestr's profile picture

World Modeling research needs fast iteration, reproducibility, optimized baselines, open-source, and precise zero-shot stress testing. Here comes stable-worldmodel! Paper: Code: Come stress-test your model/idea! DINO-WM results ⬇️

Randall Balestriero

43,571 просмотров • 3 месяцев назад

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