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Heavy-Tailed Principal Component Analysis
重尾数据下PCA的经典方法失效？这篇论文提出了一种鲁棒主成分分析方法，突破二阶矩限制。
arXiv:2603.11308v3 Announce Type: replace Abstract: Principal Component Analysis (PCA) is a cornerstone of dimensionality reduction, yet its classical…
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Phase-Type Variational Autoencoders for Heavy-Tailed Data
新VAE变体有效处理重尾数据，Phase-Type分布带来创新突破
arXiv:2603.01800v2 Announce Type: replace-cross Abstract: Heavy-tailed distributions are ubiquitous in real-world data, where rare but extreme events …
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Tail Annealing for Heavy-Tailed Flow Matching
突破生成模型重尾难题：Tail Annealing让流匹配生成幂律尾分布，解决Lipschitz架构局限性。
arXiv:2605.20068v1 Announce Type: cross Abstract: Standard generative models struggle with heavy-tailed data: Lipschitz architectures cannot produce p…