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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.

Popular repositories Loading

  1. Bayesian_model_comparison Bayesian_model_comparison Public

    Forked from Sanaelotfi/Bayesian_model_comparison

    Fork of supporting code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".

    Jupyter Notebook 1

  2. MVA23_ALTEGRAD MVA23_ALTEGRAD Public

    MVA ENS Paris-Saclay - Lab sessions for the ALTEGRAD class.

    Jupyter Notebook

  3. Mathematics-articles Mathematics-articles Public

    My past work in mathematics.

  4. MVA23_Turing MVA23_Turing Public

    My project for the fascinating course on AI safety of the MVA called "Turing Seminar".

  5. MVA23_Computational-statistics MVA23_Computational-statistics Public

    Jupyter Notebook

  6. ML-articles ML-articles Public

    Some ML articles I participated to.