Generative models — algorithms capable of creating realistic texts, images, music, or molecular structures — are now at the heart of many technological innovations, from artistic creation to drug discovery. The SAGMOS project will provide new mathematical guarantees on the reliability, originality, and efficiency of such models, particularly diffusion models that have become the new standard in the field.
“In recent years, generative models have made remarkable progress. But we still need to understand how much data is required for these models to generate reliable and truly novel outputs. The SAGMOS project aims to bridge this gap by providing precise theoretical guarantees,” explains Arnak Dalalyan.
The project will lead to the recruitment of PhD students and postdoctoral researchers, and to the organisation of international workshops to disseminate its findings.