3 papers
cs.CV2026
Sparsity as a Key: Unlocking New Insights from Latent Structures for Out-of-Distribution Detection
Ahyoung Oh, Wonseok Shin, Songkuk Kim
Sparse Autoencoders (SAEs) have demonstrated significant success in interpreting Large Language Models (LLMs) by decomposing dense representations into sparse, semantic components.…
cs.DB2025
Efficient Hypergraph Pattern Matching via Match-and-Filter and Intersection Constraint
Siwoo Song, Wonseok Shin, Kunsoo Park +3
A hypergraph is a generalization of a graph, in which a hyperedge can connect multiple vertices, modeling complex relationships involving multiple vertices simultaneously. Hypergra…
cs.LG2022
Triangular Contrastive Learning on Molecular Graphs
MinGyu Choi, Wonseok Shin, Yijingxiu Lu +1
Recent contrastive learning methods have shown to be effective in various tasks, learning generalizable representations invariant to data augmentation thereby leading to state of t…