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Symmetry-aware neural networks for particle collision tracking
Seth Nabat
Finalist · Regeneron STS 2026
Neural networks for reconstructing particle collision tracks, built to respect the symmetries of the underlying physics rather than learning them from data.
- particle-physics
- machine-learning
- symmetry
- +1
Physics & AstronomyParticle Physics