Chairholder | Charles Bouveyron

 

                       

Charles Bouveyron (UCA)

 

Short bio

Charles Bouveyron is the Director of 3IA Côte d'Azur. He holds a Chair on Artificial Intelligence and he is full Professor of Statistics (Professeur des Universités) at Université Côte d'Azur. He is also the head of the research team MAASAI on Statistical Learning and Artificial Intelligence, which is a joint team of INRIA Sophia-Antipolis and Université Côte d'Azur. He serves as an associate editor for The Annals of Applied Statistics and he is the founding organizer of the series of Statlearn workshops.

 

Research topic | Generative models for unsupervised and deep learning with complex data 

We focus on learning problems that are made difficult by real-world constraints, such as unsupervised deep learning, choosing a deep architecture for a given situation, learning from heterogeneous data or in ultra-high-dimensional scenarios. We seek to develop deep generative models, encoding sparsity priors, to address those issues.