Gabriel Victorino Cardoso holds a PhD in mathematics from the Institut Polytechnique de Paris and is a research and teaching fellow at the Statistics and Images (STIM) center of Mines Paris PSL. His main research interests focus on the intersection of neural networks and Bayesian statistics. He is particularly interested in generative models, the implicit biases inherent in neural networks, and the use of these biases to solve various Bayesian problems, including inverse problems and simulation-based inference (or likelihood-free inference).
More information