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cs.LG2026
Structured Frequency-Domain Evidence for LLM-Based Time-Series Anomaly Detection
Jungwook Seo, Sangwon Son, Minjeong Kim +3
Time-series anomalies can appear not only as pointwise deviations but also as changes in recurring temporal structure, such as shifted periodicity or localized oscillatory fluctuat…
cs.LG2026
Persistent Tri-State Message Passing
Yoonhyuk Choi, Jiho Choi, Chong-Kwon Kim +6
In stochastic message passing, an edge's sampled role changes the node states used to compute adaptive weights at later layers. Weight averaging therefore depends on whether edge r…
cs.LG2025
Edge-boosted graph learning for functional brain connectivity analysis
David Yang, Mostafa Abdelmegeed, John Modl +1
Predicting disease states from functional brain connectivity is critical for the early diagnosis of severe neurodegenerative diseases such as Alzheimer's Disease and Parkinson's Di…