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Found 3 papers, 1 papers with code
Time Series Representation Models
Central to this concept is the self-supervised pretraining of Time Series Representation Models (TSRMs), which once learned can be easily tailored and fine-tuned for specific tasks, such as forecasting and imputation, in an automated and resource-efficient manner.
Comprehensive Exploration of Synthetic Data Generation: A Survey
This work surveys 417 Synthetic Data Generation (SDG) models over the last decade, providing a comprehensive overview of model types, functionality, and improvements.
Telescope: An Automated Hybrid Forecasting Approach on a Level-Playing Field
In many areas of decision-making, forecasting is an essential pillar.
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