Elynn Chen

Distributed Tensor Principal Component Analysis with Data Heterogeneity

2024 · arXiv (Cornell University)

As tensors become widespread in modern data analysis, Tucker low-rank Principal Component Analysis (PCA) has become essential for dimensionality reduction and structural discovery in tensor datasets. Motivated by the common scenario where large-scale tensors are …

Conditional Uncertainty Quantification for Tensorized Topological Neural Networks

2024 · arXiv (Cornell University)

Graph Neural Networks (GNNs) have become the de facto standard for analyzing graph-structured data, leveraging message-passing techniques to capture both structural and node feature information. However, recent studies have raised concerns about the statistical reliability …