OmniJet-$\alpha$: The first cross-task foundation model for particle physics

arXiv:2403.05618v1 Announce Type: cross
Abstract: 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 training time and data.
We report significant progress on this challenge on several fronts. First, a comprehensive set of …

abstract alpha applications arxiv cs.lg data dataset development foundation foundation model general hep-ex hep-ph machine machine learning major particle particle physics performance physics physics.data-an type