In creating the framework for Controllable Time Series Generation, the authors address the challenges of data scarcity by decoupling the mapping process from standard VAE training, enhancing controllability and finesse in generating synthetic time series.
새로운 Controllable Time Series Generation (CTSG) 문제를 탐구하며, 데이터 부족 문제에 대응하는 혁신적인 VAE-agnostic 프레임워크를 제안합니다.