Author

Jie-Yan Liu

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Oct 2026

Adaptive parameter manifold learning for low-dimensional neural network optimization.

This work proposes Adaptive Parameter Manifold Learning (APML), a novel optimization framework that leverages Local Tangent Space Alignment to discover the underlying manifold structure from training trajectories and optimize neural networks on the parameter manifolds.

Zhe-Kai Du, Wei Ao, Jie-Yan Liu et al. · Neural Networks · 0 citations