#missing-data-imputation News & Analysis

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models

TRACE is a new conditional estimation framework for multimodal time series foundation models that handles temporal misalignment and missing data across different modalities. By inferring incomplete modalities from available data sources, TRACE outperforms existing approaches on healthcare and sentiment analysis benchmarks, demonstrating robust cross-modal representation learning.