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PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series., , , , , , , and . CoRR, (2021)Intrinsic Anomaly Detection for Multi-Variate Time Series., , , , , , , , and . CoRR, (2022)Elastic Machine Learning Algorithms in Amazon SageMaker., , , , , , , , , and 14 other author(s). SIGMOD Conference, page 731-737. ACM, (2020)Bayesian Intermittent Demand Forecasting for Large Inventories., , and . NIPS, page 4646-4654. (2016)PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series., , , , , , , and . ICLR, OpenReview.net, (2022)Neural Contextual Anomaly Detection for Time Series., , , and . IJCAI, page 2843-2851. ijcai.org, (2022)GluonTS: Probabilistic and Neural Time Series Modeling in Python., , , , , , , , , and 3 other author(s). J. Mach. Learn. Res., (2020)Neural forecasting: Introduction and literature overview., , , , , , , , , and 2 other author(s). CoRR, (2020)Forecasting Big Time Series: Theory and Practice., , , , and . KDD, page 3209-3210. ACM, (2019)Meta-Forecasting by combining Global Deep Representations with Local Adaptation., , , , , and . CoRR, (2021)