Jamming of particles and machine learning models

 · Invited

Abstract

In this talk I will describe the analogy between hard spheres in high dimension and some machine learning problems focusing on the properties of their landscape and their jamming transition. I will highlight how marginal stability emerges in both cases and what are its consequences.

*This work is supported by “Investissements d’Avenir” LabEx PALM (ANR-10-LABX-0039-PALM).

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Presenters

  • Pierfrancesco Urbani

    • Institut de Physique Théorique, Université Paris Saclay
    • Institut de physique théorique, Université Paris Saclay, CNRS, CEA, F-91191 Gif-sur-Yvette

Authors

  • Pierfrancesco Urbani

    • Institut de Physique Théorique, Université Paris Saclay
    • Institut de physique théorique, Université Paris Saclay, CNRS, CEA, F-91191 Gif-sur-Yvette