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Gerrit Gerhartz

2 accepted papers

2025

Beyond Canonicalization: How Tensorial Messages Improve Equivariant Message Passing

ICLR 2025poster

In numerous applications of geometric deep learning, the studied systems exhibit spatial symmetries and it is desirable to enforce these. For the symmetry of global rotations and reflections, this means that the model should be equivariant with respect to the transformations that form the group of $…

Cited by 3SourcePDFScholar
2025

Lorentz Local Canonicalization: How to make any Network Lorentz-Equivariant

NeurIPS 2025poster

Lorentz-equivariant neural networks are becoming the leading architectures for high-energy physics. Current implementations rely on specialized layers, limiting architectural choices. We introduce Lorentz Local Canonicalization (LLoCa), a general framework that renders any backbone network exactly…

Cited by 0SourceScholar