89 citations · 89 across the 4 of their papers we have counts for
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cs.LG2026
PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows
Minju Kim, Youngbum Hur
Time series forecasting plays a central role in many real-world applications and has been extensively studied. Most existing approaches rely on deterministic models. However, real-…
cs.LG2026
CALAD: Channel-Aware contrastive Learning for multivariate time series Anomaly Detection
Jaehyeop Hong, Youngbum Hur
Multivariate time series anomaly detection has become increasingly important in real-world applications, where labeled data are often scarce. Many existing approaches rely on unsup…
cs.LG2020★ 89 cited
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim, Youngbum Hur, Sejun Park +3
While semi-supervised learning (SSL) has proven to be a promising way for leveraging unlabeled data when labeled data is scarce, the existing SSL algorithms typically assume that t…