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20232025
most citedLong-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2025

Possibility for Proactive Anomaly Detection

Jinsung Jeon, Jaehyeon Park, Sewon Park +3

Time-series anomaly detection, which detects errors and failures in a workflow, is one of the most important topics in real-world applications. The purpose of time-series anomaly d…

cs.LG2025

PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks

Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park +2

Recently, data-driven simulators based on graph neural networks have gained attention in modeling physical systems on unstructured meshes. However, they struggle with long-range de…