We consider the combination of two approaches for the trace estimation of a symmetric matrix function f(A) when the only feasible operations are matrix-vector products and quadratic forms with f(A): stochastic estimators, such as the Hutchinson…
Eventi
Decrypting the Language of Climate Change through Natural Language Processing machine learning Techniques – Davide Faranda (CNRS Researcher in Climate Sciences)
In this lecture, I will be presenting exciting ways in which machine learning methods from Natural Language Processing (NLP) can be applied to the important issue of climate change. I will discuss the various techniques and algorithms used in NLP to…
Desingularization of semialgebraic sets and applications – Antonio Carbone (Università di Trento)
Hironaka’s desingularization results are very powerful tools that allow to desingularize algebraic sets defined over fields of characteristic zero. If…
Annealed quantitative estimates for the 2D-discrete random matching problem – Francesco Mattesini (Max Planck Institute for Mathematics in the Sciences, Leipzig)
The optimal matching problem is a classical random variational problem which may be interpreted as an optimal transport problem between…
Per una storia della teoria dei gruppi di Lie: dalle origini a Cartan – Alberto Cogliati (Università di Pisa)
L’odierna teoria dei gruppi e delle algebre di Lie ha la propria origine in una serie di ricerche che il…