Exact SO(3)-Equivariant Isotropic Kernels for Rotation-Robust Neural Dynamics

arXiv:2610.10626 · cs.LG, cs.CE, stat.ML · Submitted 2026-10-07 · Read on arXiv

cs.LG, cs.CE, stat.ML

Submitted: 2026-10-07

Updated: 2026-10-07

Terminology

• Accuracy — 9× in this paper · explained in 1 episode
• Consistency — 6× in this paper · explained in 3 episodes
• Tensor Field Network — 5× in this paper
• Adam — 2× in this paper · explained in 2 episodes
• Point Clouds — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Neural Surrogates — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
• e3nn: Euclidean Neural Networks
• Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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