3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 3 cited
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training
Sota Kudo, Naoaki Ono, Shigehiko Kanaya +1
Information Bottleneck (IB) is a widely used framework that enables the extraction of information related to a target random variable from a source random variable. In the objectiv…
cs.LG2022
Cancer Subtyping via Embedded Unsupervised Learning on Transcriptomics Data
Ziwei Yang, Lingwei Zhu, Zheng Chen +4
Cancer is one of the deadliest diseases worldwide. Accurate diagnosis and classification of cancer subtypes are indispensable for effective clinical treatment. Promising results on…
cs.LG2022★ 1 cited
Automated Sleep Staging via Parallel Frequency-Cut Attention
Zheng Chen, Ziwei Yang, Lingwei Zhu +6
This paper proposes a novel framework for automatically capturing the time-frequency nature of electroencephalogram (EEG) signals of human sleep based on the authoritative sleep me…