Special Issue

• Participants are encouraged to submit their work to a Special Issue in the Journal of Computational and Applied Mathematics (Elsevier), which will be available for submission after the conference period.

Submitted papers must be original and should not have been previously published nor be currently under consideration for publication elsewhere. The papers must be prepared in keeping with the guidelines and submitted to the journal. All submissions are fully refereed according to the high standards of the journal.  

A person can submit only one paper as a corresponding author. 

• The selection will prioritize, but will not be limited to, the following topics: Machine Learning, Geometric Deep Learning, Generative Models, Numerical Methods for Partial Differential Equations (PDEs), Numerical Linear Algebra, Numerical Optimization, and Uncertainty Quantification.

Guest editors

• Emma Perracchione (Politecnico of Turin, Italy)

• Davide Torlo (La Sapienza University of Rome, Italy)

• Silvia Falletta (Politecnico of Turin, Italy)