Anna Hallin
(UNI/EXP (Uni Hamburg, Institut fur Experimentalphysik))
14/03/2025, 10:00
Foundation models are multi-dataset and multi-task machine learning methods that once pre-trained can be fine-tuned for a large variety of downstream applications. The successful development of such general-purpose models for physics data would be a major breakthrough as they could improve the achievable physics performance while at the same time drastically reduce the required amount of...
