Théo Beuzeville

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Toulouse Institute for Computer Science Research (IRIT),

University of Toulouse,

Toulouse, France

I am a postdoctoral researcher specializing in numerical error analysis for algorithms in artificial intelligence. I received an Engineering Degree in Applied Mathematics and Computer Science from the French Grande École ENSEEIHT and a Master of Science in Computer Science from Université de Toulouse in 2020. I completed my PhD thesis in 2024 at Université de Toulouse, under the supervision of Alfredo Buttari, Théo Mary, and Serge Gratton.

The aim of my research is to provide tools to better understand, explain, and predict the sensitivity of artificial neural networks to various types of perturbations. To this end, I extend to artificial neural networks some well-known concepts from numerical linear algebra, such as condition number and backward error, which led to contributions in adversarial attacks and rounding error analysis, as well as practical applications.

Selected publications

  1. Journal article
    Deterministic and probabilistic rounding error analysis of neural networks in floating-point arithmetic
    Théo Beuzeville, Alfredo Buttari, Serge Gratton, and Theo Mary
    IMA Journal of Numerical Analysis, 2025
    In press
  2. Thesis
    Backward error analysis of artificial neural networks with applications to floating-point computations and adversarial attacks
    Théo Beuzeville
    Jun 2024
  3. Technical report
    Adversarial attacks via backward error analysis
    Théo Beuzeville, Pierre Boudier, Alfredo Buttari, Serge Gratton, Théo Mary, and Stéphane Pralet
    Dec 2021