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Basile-Terv/README.md

I am a PhD student at Meta Fundamental AI Research (FAIR) Paris, jointly with INRIA Paris, supervised by Jean Ponce and Yann Le Cun.

I am interested in training Joint-Embedding Predictive Architectures (JEPAs) for representation learning and controlling physical agents.

I graduated in 2024 from the MVA masters (ENS Paris-Saclay) where I studied deep and statistical learning and had worked with a research team from Mila on materials discovery with GNNs.

Previously, I studied applied mathematics at Ecole Polytechnique, where I studied statistics, optimization, probability.

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  1. facebookresearch/jepa-wms facebookresearch/jepa-wms Public

    Code, data and weights for the paper **What drives success in physical planning with Joint-Embedding Predictive World Models?**

    Python 15