发表论文

1. Uncovering a Universal Abstract Algorithm for Modular Addition in Neural Networks NeurIPS 2025 (2025)
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2. Interpreting deep neural networks trained on elementary p groups reveals algorithmic structure Topology, Algebra, and Geometry in Data Science (2025)
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3. The Geometry and Topology of Modular Addition Representations Topology, Algebra, and Geometry in Data Science (2025)
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4. The Representations of Deep Neural Networks Trained on Dihedral Group Multiplication NeurIPS 2025 Workshop on Symmetry and Geometry in Neural Representations (2025)
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