#equivariant-neural-networks News & Analysis

2 articles tagged with #equivariant-neural-networks. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Apr 137/10

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EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers

EquiformerV3, an advanced SE(3)-equivariant graph neural network, achieves significant improvements in efficiency, expressivity, and generality for 3D atomistic modeling. The new version delivers 1.75x speedup, introduces architectural innovations like SwiGLU-S² activations and smooth-cutoff attention, and achieves state-of-the-art results on major molecular modeling benchmarks including OC20 and OMat24.

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AINeutralarXiv – CS AI · 1d ago6/10

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How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks

Researchers demonstrate that the Muon optimizer significantly outperforms Adam when training equivariant neural networks, which encode geometric symmetries by design. Analysis of trained models reveals Muon produces solutions with more regular loss surfaces, higher weight ranks, and better-conditioned representations, suggesting optimizer choice substantially influences how neural networks learn geometric constraints.