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Preprint Sep 2026

Spectral-Residual Continuous Greedy for Tensor Sampling

Sampling a multidomain tensor from limited measurements is fundamental in structured linear inverse problems. Kronecker-structured sampling avoids the full high-dimensional sensing matrix, but design remains difficult: sequential discrete methods can commit the cross-mode budget too early, whereas standard continuous g...

Hao Li, Jie Xu, Zheng Xie · 0 citations
#machine learning Preprint Aug 2026

Converse and Collision-Based Achievability for Node Localization with Hybrid Distance-Spectral Graph Positional Encodings

A hybrid distance-spectral encoding that combines anchor-distance profiles with quantized low-frequency Laplacian-energy coordinates is studied, showing that hybrid encodings better recover syntactic-tree geometry than distance-only or spectral-only baselines.

Zi-Mo Yan, Yi-Fang Li, Hao Li et al. · 0 citations

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