2025
Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
NeurIPS 2025poster
Generative modeling of time series is a central challenge in time series analysis, particularly under data-scarce conditions. Despite recent advances in generative modeling, a comprehensive understanding of how state-of-the-art generative models perform under limited supervision remains lacking. In…