Marco Picasso

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Adjunct Professor

marco.picasso@epfl.ch +41 21 693 42 47

EPFL SB MATH GR-PI
MA C2 632 (Bâtiment MA)
Station 8
CH-1015 Lausanne

Web site: Web site: https://asn.epfl.ch/

Web site: Web site: https://ae.epfl.ch/

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Administrative data

Publications

Infoscience publications

Teaching & PhD

Teaching

Mathematics

PhD Programs

Doctoral Program in Mathematics

Courses

Analyse numérique et optimisation

To learn how to solve numerically various mathematical problems. The theoretical properties of these methods will be investigated.

Numerical analysis

To learn how to solve numerically various mathematical problems. The theoretical properties of these methods will be investigated.

Advanced numerical analysis

The student will learn state-of-the-art algorithms for solving ordinary differential equations, nonlinear systems, and optimization problems. The analysis and implementation of these algorithms will be discussed in some detail.

Mathematical foundations of neural networks

This course is in the form of a reading course / working group. We will focus on some mathematical aspects of the theory of neural networks, including universal approximation theorems, connections to ODEs and PDEs, optimiza-tion algorithms for NN training and their convergence.