Théo Beuzeville
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
- Journal articleDeterministic and probabilistic rounding error analysis of neural networks in floating-point arithmeticIMA Journal of Numerical Analysis, 2025In press
- Technical report