Yoonho Jung

2 accepted papers

2025

Spreading Out-of-Distribution Detection on Graphs

Daeho Um, Jongin Lim, Sunoh Kim, Yuneil Yeo, Yoonho Jung

ICLR 2025poster

Node-level out-of-distribution (OOD) detection on graphs has received significant attention from the machine learning community. However, previous approaches are evaluated using unrealistic benchmarks that consider only randomly selected OOD nodes, failing to reflect the interactions among nodes. In…

Cited by 1 Source ↗PDF ↗code ↗Scholar ↗

2023

SwiFT: Swin 4D fMRI Transformer

Peter Yongho Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee, Yoonho Jung +3

NeurIPS 2023poster

Modeling spatiotemporal brain dynamics from high-dimensional data, such as functional Magnetic Resonance Imaging (fMRI), is a formidable task in neuroscience. Existing approaches for fMRI analysis utilize hand-crafted features, but the process of feature extraction risks losing essential information…

Cited by 30 Source ↗PDF ↗code ↗Scholar ↗