• Participants are encouraged to submit their work to a Special Issue in the Journal of Computational and Applied Mathematics (Elsevier).

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, Deep Reinforcement Learning, Geometric Deep Learning, Generative Models, Natural Language Processing, Numerical Methods for Partial Differential Equations (PDEs), Numerical Linear Algebra, Numerical Optimization, and Uncertainty Quantification.

Guest editors

• Cristina Campi (University of Genova, Italy)

• Massimiliano Ferronato (University of Padua, Italy)

• Antonia Larese (University of Padua, Italy)

• Each talk presented at YAMC will be published as a long abstract (three pages including references) in an online indexed (ISBN, DOI) collection edited by CNR Edizioni.

• The contributions must be written in English language and must conform to the formatting guidelines which can be found [here].

• The contribution is also allowed in other forms freely: being (at most) three pages long, its publication will not affect any further submission as full papers in other venues.