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Symmetry Discovery for Different Data Types
Explicit Discovery of Nonlinear Symmetries from Dynamic Data
Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization
Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
Affine Equivariant Networks Based on Differential Invariants
Task-Robust Pre-Training for Worst-Case Downstream Adaptation
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