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20242026
most citedUnderstanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data

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stat.ML2026

Learning Theory of Transformers: Local-to-Global Approximation via Softmax Partition of Unity

Zhongjie Shi, Wenjing Liao

This paper investigates the learning theory of Transformer networks for regression tasks on the compact Euclidean domain and -dimensional compact Riemannian manifolds.…