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cs.LG2025
Weighted Contrastive Learning for Anomaly-Aware Time-Series Forecasting
Joel Ekstrand, Tor Mattsson, Zahra Taghiyarrenani +3
Reliable forecasting of multivariate time series under anomalous conditions is crucial in applications such as ATM cash logistics, where sudden demand shifts can disrupt operations…
cs.LG2024
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation
Guojun Liang, Najmeh Abiri, Atiye Sadat Hashemi +3
Accurate imputation is essential for the reliability and success of downstream tasks. Recently, diffusion models have attracted great attention in this field. However, these models…