Jonas Spinner
PhD student working on machine learning for high energy physics. Interested in equivariant architectures and generative modelling.
- Lorentz Local Canonicalization (LLoCa) is a drop-in replacement that makes any network Lorentz-equivariant. Check out how we apply it to high-energy physics tasks in arxiv.org/abs/2505.20280. w/ Luigi Favaro, Peter Lippmann, Sebastian Pitz, Gerrit Gerhartz, Tilman Plehn, and Fred A. Hamprecht 1/6
- Can transformers learn the universal patterns of jet radiation and extrapolate beyond the training data? Find out in our preprint 'Extrapolating Jet Radiation with Autoregressive Transformers' arxiv.org/abs/2412.12074 w/ Javi Marino, Ayo Ore, Francois Charton, Anja Butter and Tilman Plehn 1/7
- Reposted by Jonas SpinnerOn Thursday from 11:00 to 14:00, I'll be cheering on @jonasspinner.bsky.social and Victor Bresó at poster 3911. They built L-GATr 🐊: a transformer that's equivariant to the Lorentz symmetry of special relativity. It performs remarkably well across different tasks in high-energy physics. 2/6
