Hugo Simon

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hugo.simon🎩cea.fr

@hsimonfroy

I am a PhD candidate in Cosmology and Machine Learning at CEA Paris-Saclay, supervised by Arnaud de Mattia and François Lanusse. I am also a member of the DESI collaboration, which is building the largest 3D map of the Universe to date.

I am particularly interested in field-level modeling and scalable Bayesian inference, leveraging fast and differentiable cosmological models and high-dimensional ($\geq 10^6$) sampling methods, to extract maximum information from cosmological surveys. My current efforts center on field-level inference of primordial non-Gaussianity from DESI.

selected publications

  1. JCAP
    Benchmarking field-level cosmological inference from galaxy redshift surveys
    Hugo Simon, François Lanusse, and Arnaud Mattia
    2025
    Accepted to JCAP
  2. NeurIPS
    Small coresets via negative dependence: DPPs, linear statistics, and concentration
    Rémi Bardenet, Subhroshekhar Ghosh, Hugo Simon, and 1 more author
    NeurIPS 2024 - Thirty-eigth Conference on Neural Information Processing Systems, 2024
    Accepted as Spotlight Paper. Authors are listed in alphabetical order