Antonio Silveti-Falls

MCF at Centrale Supélec

Research interests

Nonsmooth optimization
Stochastic optimization
Machine learning (theory of deep learning)
Signal/image processing

Biography

Antonio (Tony) Silveti-Falls is a Mexican American mathematician studying nonsmooth optimization and its applications to machine learning and, in particular, to the theory of deep learning. He received his PhD in Mathematics from Université de Caen Normandie in 2021 where he studied under Jalal Fadili and Gabriel Peyré. Since then, he has continued his research as a post-doc under Jérôme Bolte and Edouard Pauwels in Toulouse at the Toulouse School of Economics while also teaching at the Toulouse Business School.

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