{"id":2,"date":"2026-01-27T11:29:56","date_gmt":"2026-01-27T11:29:56","guid":{"rendered":"http:\/\/sites.unimi.it\/mathgen\/?page_id=2"},"modified":"2026-06-10T09:24:17","modified_gmt":"2026-06-10T09:24:17","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/sites.unimi.it\/mathgen\/","title":{"rendered":"MATHGEN SUMMIT"},"content":{"rendered":"\n

Mathematics of Generative AI: Theory, Algorithms & Applications<\/em><\/strong><\/p>\n\n\n\n

Generative Artificial Intelligence<\/strong> (GenAI) is profoundly transforming the scientific and technological landscape, raising fundamental questions about the mathematical principles that underlie generative models, along with their potentialities and weaknesses. As a matter of fact, while deep learning architectures such as diffusion models, transformers, and variational autoencoders<\/strong> are achieving large success in generating complex data, a comprehensive understanding of their theoretical foundations remains an open and rapidly evolving field of inquiry<\/strong><\/p>\n\n\n\n

The aim of the MathGen Summit is to bring together international researchers (including early career) from different fields to foster a dialogue on the theoretical, algorithmic, and application-related aspects of GenAI techniques<\/strong>. The focus will be on the analysis and development of mathematical models and computational practices that explain, predict, or enhance generative behavior, encompassing areas such as:<\/p>\n\n\n\n