3 papers
stat.ME2026
On Graph-Informed Distance Metrics for Comparing Graph Partitions
Srijato Bhattacharyya, Huiyan Sang, Bani Mallick
Comparing graph partitions is fundamental to the analysis of network-structured data, yet existing measures for comparing graph partitions typically rely on graph-agnostic indices…
cs.LG2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
Bowen Lei, Dongkuan Xu, Ruqi Zhang +1
Sparse training has emerged as a promising method for resource-efficient deep neural networks (DNNs) in real-world applications. However, the reliability of sparse models remains a…
eess.IV2024
Integrative Variational Autoencoders for Generative Modeling of an Image Outcome with Multiple Input Images
Bowen Lei, Yeseul Jeon, Rajarshi Guhaniyogi +3
Understanding relationships across multiple imaging modalities is central to neuroimaging research. We introduce the Integrative Variational Autoencoder (InVA), the first hierarchi…