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Found 4 papers, 3 papers with code
Lorentz Local Canonicalization: How to Make Any Network Lorentz-Equivariant
Lorentz-equivariant neural networks are becoming the leading architectures for high-energy physics.
Extrapolating Jet Radiation with Autoregressive Transformers
Usually, they are used to generate configurations with a fixed number of particles.
A Lorentz-Equivariant Transformer for All of the LHC
We show that the Lorentz-Equivariant Geometric Algebra Transformer (L-GATr) yields state-of-the-art performance for a wide range of machine learning tasks at the Large Hadron Collider.
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
We propose the Lorentz Geometric Algebra Transformer (L-GATr), a new multi-purpose architecture for high-energy physics.
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