Research Paper#Time Series Analysis, Generative Models, Imputation🔬 ResearchAnalyzed: Jan 3, 2026 16:00
Bridge-TS: Improving Time Series Imputation with Enhanced Priors
Published:Dec 29, 2025 19:52
•1 min read
•ArXiv
Analysis
This paper addresses the challenge of time series imputation, a crucial task in various domains. It innovates by focusing on the prior knowledge used in generative models. The core contribution lies in the design of 'expert prior' and 'compositional priors' to guide the generation process, leading to improved imputation accuracy. The use of pre-trained transformer models and the data-to-data generation approach are key strengths.
Key Takeaways
Reference
“Bridge-TS reaches a new record of imputation accuracy in terms of mean square error and mean absolute error, demonstrating the superiority of improving prior for generative time series imputation.”